AI ethics on Wednesday, 15 July 2026

AIID editor's note: This is the executive summary for the following investigation: https://c4ads.org/wp-content/uploads/2026/02/DeceptiveByDesign-C4ADS.pdf. Criminal networks running scam compounds across Southeast Asia are using AI-powere ... (https://incidentdatabase.ai/cite/1589#7517)

The European Commission is currently revising two major directives on tobacco products and related advertising. As part of this process, it launched a public consultation which received nearly 90,000 responses. A Dutch journalistic investig ... (https://incidentdatabase.ai/cite/1590#7518)

The Laredo Police Department Mental Evaluation Outreach Unit clarified during a recent Suicide Prevention Committee meeting that a teen suicide previously referenced by Police Chief Miguel Rodriguez during a City Council meeting did not occ ... (https://incidentdatabase.ai/cite/1591#7519)

After soaring in its stock market debut, the shares of Elon Musk’s rocket and A.I. company have been rocky.

AI-friendly president shared a post saying governor Kathy Hochul should scrap the one-year policy ‘IMMEDIATELY’ Donald Trump railed against the New York governor, Kathy Hochul, for pausing the construction of large new datacenters, the resource-intensive facilities that power artificial intelligence. New York became the first US state to enact a moratorium on new datacenters on Tuesday, when Hochul signed an executive order mandating a one-year statewide pause on so-called “hyperscale” datacente

The country will also seek to protect the rights of creators of work used to train artificial intelligence models, as it aims to impose parameters on the growing industry.

For months, artists and activists have been calling on the prime minister, Anthony Albanese, to act on the AI boom as datacentres pop up around the country. Today he made a major speech at the University of Sydney addressing copyright, the regulation of datacentres and the future of AI in Australia 'Not up for grabs': Albanese establishes AI office and vows to protect Australian creatives from copyright 'theft' Continue reading...

PM lays out plan for datacentre development and rejects prospect tech companies will be given free use of Australian data Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Anthony Albanese has promised “the strongest possible protection” for Australian creatives against misuse of their work by artificial intelligence models, warning it would be “theft” if writers, artists and musicians didn’t have control of their work or receive

Economic growth of 4.3 percent in the second quarter, versus the same period last year, reflected a broad slump outside of the country’s export-oriented manufacturing might.

Paid-for political access and threadbare regulations have helped to embed the US tech firm in the NHS – and beyond. But there is a way to free ourselves Andy Burnham faces a lot of big decisions . But one of the incoming prime minister’s biggest early tests is what he does about the world’s “ scariest company ” – Palantir. The US defence and surveillance tech behemoth has a swathe of British public contracts, including, most controversially, a £330m deal with the NHS . It’s pretty clear what man

Coherent decision-making and internal accountability are critical to meeting this manic moment Anthony Albanese promises fast-track approvals for datacentres to shore up AI investment The University of Sydney was the natural setting for Anthony Albanese to lay out his vision for how Australia should confront the profound economic and social challenges posed by so-called artificial intelligence technology. His time around the jacaranda and sandstone in the early 80s was a seminal marker in the fu

The Elon Musk-owned xAI is suing a South Carolina man who allegedly used the company's Grok AI chatbot to generate child sexual abuse material (CSAM). In a lawsuit reported earlier by Reuters, xAI claims Terry Wayne Harwood "knowingly and intentionally used Grok to circumvent safeguards, alter nonconsensual images, and generate and distribute CSAM," breaching the […]

The Codex Micro is designed to monitor multiple agentic threads at a glance.

Gidi Littwin’s new AI startup, Hemispheric, makes diagnostic brain scans for conditions like depression, PTSD, and Parkinson’s. He wants the technology to be as cheap and easy as for a blood test.

The outgoing Labor president explains why no votes can be taken for granted in a time of ‘anxiety and insecurity’.

Across 101 enterprises, agent orchestration is consolidating onto model-provider platforms — Anthropic’s Claude leads by a wide margin — chosen for the gravity of the underlying model and judged on reliable multi-step execution. But the ambition runs well ahead of the reality: most deployed “agents” are still chatbot wrappers, the control plane enterprises expect is deliberately hybrid to avoid lock-in, and real-time fiscal control over token burn remains the exception. This wave of VentureBeat

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

OpenAI, which is in the middle of a legal battle with Apple over hardware trade theft allegations, just released a light-up keyboard designed to be paired with its agentic coding app.

The stock has steadily fallen from the euphoric post-IPO high, showing that markets may be sobering up to the promises CEO Elon Musk made before and after SpaceX went public.

Can a handful of engineers really do the work of an army of consultants? That’s the bet behind Ode with Anthropic — the joint venture dedicated to embedding forward-deployed engineers in enterprise firms, backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs and others. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan sits down with Ode’s leaders Chris Taylor and Eddie Siegel, who founded Fractional AI, […]

Legal tech legend, Litera, has ‘relaunched’ itself with its Lito agent as the principal point of focus, offering the ability to tap both its business ...

The guy behind TCP/IP is working on a standard for identifying AI agents in the wild.

There is no clear evidence that AI or other kinds of computer-based tutors are superior to human tutors.

There is no clear evidence that AI or other kinds of computer-based tutors are superior to human tutors.

There is no clear evidence that AI or other kinds of computer-based tutors are superior to human tutors.

There is no clear evidence that AI or other kinds of computer-based tutors are superior to human tutors.

There is no clear evidence that AI or other kinds of computer-based tutors are superior to human tutors.

A Norwegian school system and a New York law firm have reached the same conclusion.

A Norwegian school system and a New York law firm have reached the same conclusion.

A Norwegian school system and a New York law firm have reached the same conclusion.

A Norwegian school system and a New York law firm have reached the same conclusion.

Legatics, the well-known transaction management platform, has launched a Model Context Protocol (MCP) server. This will allow your ‘AI assistants or agents to connect directly ...

The funding discussions point to investor interest in applying AI to make breakthroughs in life sciences.

Turns Out The Biglaw Firms That Bent The Knee To Trump Have Even More To Rue: Those deals keep looking worse and worse. Todd Blanche Used To Have The Respect Of His Former SDNY Colleagues: Not so much anymore. Oopsie! Todd Blanche's Freudian slip during the confirmation hearing isn't the only thing getting people talking. Merger? What Merger? Linklaters and Cleary definitely weren't talking about a merger . Anarchy In The UK : Kentucky Law's already messy dean selection process has spawned a law

Two Utah nonprofits allege they were defamed after the “Shark Tank” investor portrayed them as Chinese Communist Party proxies on the network.

No matter what the president does... The post Yes, Even Celebrities Have To Pay Their Attorneys appeared first on Above the Law .

CNBC's Jim Cramer said he’s looking for companies to start showing measurable financial returns from their AI investments.

Dean's two-night arena stand reflects just how fast the British singer has gone from promising rising act to bona fide superstar.

Integrated circuit and electronic hardware design company Cadence Design Systems Inc. today announced a new artificial intelligence agent that assists with packaging and system design, the step after silicon has been customized and produced, marking how chips and components get used in electronic devices. AuraStack, a super-agent within the company’s Allegro AI studio, provides agentic […] The post Cadence extends its AI agents beyond chips with AuraStack for circuit boards and packaging appeare

A federal judge ruled Wednesday that a high-speed internet grant program signed into law by President Biden unconstitutionally used race as a factor in deciding where to dole out the funds. U.S. District Judge John Bates heavily cited the Supreme Court’s decision invalidating affirmative action in higher education admissions in agreeing with President Trump, who...

Trump is bleeding support even among his stubborn, uneducated base. The post I Don’t Think Trump’s Remaining Supporters Realize How Much They Are Despised By Non-MAGA Voters appeared first on Above the Law .

OpenAI has trained an elite hacker, then locked it in a cage. Its whole job is to break OpenAI’s own AI. The company says it is too dangerous to let anyone else near it. The model is called GPT-Red, and OpenAI detailed it this week. It is an automated red-teamer: software that hunts for ways […] This story continues at The Next Web

It’s good to pay attention to what AALL is focused on. That’s why this year’s theme was eye-catching. The post AALL 2026: Focusing On The Aloha appeared first on Above the Law .

Product listings in AWS Marketplace gained new AI-based features last month in anticipation of continued growth in the use of enterprise agents. Amazon Web Services Inc. unveiled AI-assisted product listings in Product Assistant chat, a feature that helps independent software vendors and consulting partners develop comprehensive product listings for AWS Marketplace using existing digital assets. […] The post AWS adds AI-assisted product listing service to its Marketplace portfolio appeared first

YouTube has appealed the landmark social media addiction verdict, joining Meta. Its argument: YouTube is not a social media platform. YouTube has a curious line of defence against the finding that it helped hook a child on its app. It says it is not a social media platform at all. The Google-owned video service has […] This story continues at The Next Web

An expanded federal library of chemical fingerprints helps scientists identify unknown substances found in forensic evidence, drugs, environmental samples and even material collected beyond Earth.

Data centers are expected to add billions in electricity costs across 13 states in the years ahead after a recent power auction. Grid operator PJM this week announced the results of an auction to buy power for the 13 states that it serves for June 2028 through May 2029. Monitoring Analytics, an independent market monitor...

Rep. Kat Cammack (R-Fla.) on Wednesday addressed the international race to achieve dominance over artificial intelligence and the importance behind each country’s efforts to take the lead. “China and Russia and Iran would love nothing more than for us to say, absolutely, no data science. And that is because it is a cognitive warfare. They...

UCLA’S School of Theater, Film and Television and the Sundance Institute have set a collaboration to develop the next generation of filmmakers and storytellers. The five-year agreement is targeted to begin in September. The pact combines UCLA’s academic resources with Sundance Institute’s experience and Sundance Collab’s international community of more than 130,000 artists across 177 […]

Boston Dynamics is testing Spot, its four-legged robot, as a delivery worker that rides along in trucks and hops out to carry packages to customers’ doorsteps. The company posted a video on Tuesday showing a human driver loading packages onto a conveyor belt mounted on Spot’s back, followed by the robot walking up to houses […] This story continues at The Next Web

'I'm his lawyer — was his lawyer.' Sure, Todd. The post Paging Dr. Freud: Todd Blanche Calls Himself Trump’s Lawyer At His Attorney General Confirmation Hearing appeared first on Above the Law .

Suspends next ⁠phase of cyber security certification program.

Walden Robotics has launched from stealth with $300m and a $1.1bn valuation. The Toyota spin-out builds humanoids for factories, and it left off the legs on purpose. “If you listen to the people on the factory floor, they aren’t ready, and they don’t want them yet.” That is Russ Tedrake, telling Bloomberg why his new […] This story continues at The Next Web

Monumental BV, a Dutch startup that operates a fleet of bricklaying robots, has raised $35 million in funding. Khosla Ventures led the Series B investment. Monumental stated in its funding announcement today that existing backers Plural and Hummingbird chipped in as well. Monumental uses robots to construct the walls of homes, schools and other buildings. […] The post Construction robot startup Monumental reels in $32M appeared first on SiliconANGLE .

Paramount Skydance chief David Ellison and his tech billionaire dad Larry Ellison have been sued by a Paramount shareholder who alleged they cut an “illegal” deal with President Donald Trump to secure U.S. governmental approval for the takeover of Warner Bros. Discovery. The shareholder lawsuit, filed Tuesday in Delaware Chancery Court, seeks to block Paramount’s […]

New York became the first state in the U.S. to impose a ban of its kind when the governor signed the executive order Tuesday.

No name. No product. No confirmed funding. And, possibly, a $2bn price tag. That is the shape of the newest bet in AI drug discovery. Miles Wang, a researcher at OpenAI, is leaving to start his own company, TechCrunch reported. He is in talks to raise about $200m at a $2bn valuation, with Lightspeed in […] This story continues at The Next Web

Reflections on a warming planet

Reflections on a warming planet

OpenAI has begun displaying prediction market odds from Kalshi inside ChatGPT search results, marking the first time the company has partnered with a regulated betting exchange. The integration, first reported by the New York Times, shows real-time odds for 2026 FIFA World Cup matches with a “Source: Kalshi” label but no outbound links or Kalshi […] This story continues at The Next Web

Both Prime Video and Peacock have already released documentary programming on the tragedy.

Confidence score determines how to utilise outputs.

Rep. Josh Gottheimer (D-N.J.) introduced a bill Wednesday that would require prediction markets and online sportsbook to use facial recognition to verify users' ages to avoid minors from placing bets or trading on platforms. The New Jersey Democrat announced the bill alongside Kalshi CEO Tarek Mansour, who said he welcomed the proposal on top of...

SpaceX shares fell for a fourth-straight session on Wednesday days after entering the Nasdaq-100

Samsung appears to be internally investigating the discoloration defect.

The EU adopted regulation in 2023 that requires many electronics to have replaceable batteries by 2027.

The nation's capital is capping ticket resale prices at 10 percent higher than a ticket's original face value and is outlawing speculative tickets.

Jay Clayton faced Democratic criticism after repeatedly declining to say Joe Biden won in 2020 and standing by subpoenas issued by his Manhattan prosecutor’s office to four New York Times journalists.

The new guidance from FEMA would require states to take various steps on elections before receiving funds. Government groups criticized the move as an overreach.

The Gold Eagle program will allowe industry, critical infrastructure operators and the government to use artificial intelligence to rapidly detect, prioritize and patch cybersecurity vulnerabilities, officials said.

Soon-to-be UK Law dean Judge Gregory Van Tatenhove got sued in his own old courthouse. The post Kentucky Law Professor Sues To Stop New Dean And Every Federal Judge Already Recused appeared first on Above the Law .

OpenAI's internal GPT-Red model finds successful attacks in 84 percent of test scenarios through self-play training. Human red teamers manage just 13 percent. The results feed directly into hardening models like GPT-5.6 Sol. The article OpenAI is now using AI to attack its own AI, and it's working better than humans ever did appeared first on The Decoder .

“We really used to be considered icing on the cake,” US Chief of Space Operations Gen. Chance Saltzman told reporters. Now, “I think we are more the eggs in the cake batter.”

Federal law bars a living person's portrait from appearing on U.S. currency. Treasury cites the Circulating Collectible Coin Redesign Act of 2020.

In which David A. Deptula, dean of the Mitchell Institute for Aerospace Studies, takes issue with a recent op ed in Breaking Defense concerning the “air littoral” in the Iran conflict.

Winter sunrises and sunsets may come notably later in much of the country if Congress ends up passing a bill to make Daylight Saving Time year-round.

The high court's 9-0 Cox v. Sony ruling hands AI developers a ready-made defense against claims that their models are built for infringement.

Republicans bypassed Democrats on Iran war funding, admitting negotiation would have "exacted a big price."

A reported Linklaters-Cleary Gottlieb courtship fizzled quickly, if it ever existed at all. The post Another Rumored Biglaw Merger Falls Apart Before It Begins appeared first on Above the Law .

The lawsuit highlighted concerns that the privacy of Apple’s iCloud allows illegal material to be easily stored and shared on the service.

Former OpenAI CTO’s start-up raised $2bn last year at $12bn valuation

Eli Lilly is reinventing the pharma business    The Economist

Second lady Usha Vance on Wednesday launched her summer reading challenge's prize website, where children can choose rewards after submitting their reading logs. “The Second Lady's Summer Reading Challenge seeks to combat summer learning declines and encourage childhood literacy through friendly competition and rewards," the second lady wrote in her announcement. Any child between kindergarten...

OpenAI's collaboration with keyboard maker Work Louder is available to order today.

From firms to law schools, innocent bystanders take heat. The post Collateral Damage Across The Legal Industry appeared first on Above the Law .

Learn how defense organizations can detect and neutralize malicious content hidden in trusted files while protecting data integrity and mission speed. The post How defense organizations can close zero trust’s file security gap appeared first on DefenseScoop .

Anthropic, one of the world’s most prominent artificial intelligence companies, is launching a version of its AI-powered assistant Claude for teachers, entering a race by technology companies to infuse AI into education. Anthropic boasts that its product can incorporate academic standards from all 50 states, and teachers can use it to help devise lesson plans, […]

Clayton maintained he was not an “election denier” but wouldn’t directly answer a number of questions about the 2020 race, his predecessor’s appearance at a January election office raid and more. The post Dems press DNI nominee Jay Clayton on election security questions, but leave dismayed appeared first on CyberScoop .

President Trump bashed New York Governor Kathy Hochul (D) over the state's first-ever statewide freeze on new "hyperscale data centers," calling it a "terrible decision." Trump, in a lengthy post on Truth Social Wednesday, alleged Hochul decided to enact the first-in-the-nation freeze for "political reasons." "Data Centers are tremendous WINS for the States and Communities...

Jusque-là peu investi dans la politique française alors qu’il s’est déjà illustré par son interventionnisme dans d’autres pays, l’homme le plus riche du monde a apporté mercredi publiquement son soutien à la candidate du Rassemblement national.

Google made GKE Agent Sandbox generally available in May 2026 and, in the same post, introduced a second project called The post Kubernetes won the container decade. Google’s Agent Substrate wants the next one. appeared first on The New Stack .

Share trading in Elon Musk’s rocket company has been volatile since it went public a month ago.

We're thrilled to unveil the latest evolution of Dark Reading's DR Global section — your go-to source for region-specific cybersecurity intelligence beyond North America.

A new study calculates the risk to clean water if the Trump Administration repeals the Roadless Rule.

As AI agents gain greater autonomy across the internet, a system of governance is emerging around three questions: how much The post Trust, transactions and tokenomics: AI agent infrastructure begins to standardize appeared first on The New Stack .

Les internautes chinois ont massivement adopté les agents IA pour des relations amicales ou amoureuses. Une tendance contre laquelle Pékin tente désormais de lutter en imposant, mercredi, de nouvelles restrictions.

Employers are looking for AI skills - here's how to let them demonstrate you know what you're doing.

Elon Musk, the billionaire owner of X, wants to make the social network one of the most transparent major technology The post Elon Musk: “We will make the entire codebase of X open source, with no exceptions.” appeared first on The New Stack .

“AI is transforming how our economy operates, and a wide range of voices are unifying around a shared goal: expanding worker equity ownership,” writes Lynn Forester de Rothschild.

Senators pressed director of national intelligence nominee Jay Clayton about his stance on the 2020 election and previous statements about voter fraud. Other issues took a back seat.

“We’re one step closer to delivering capabilities to the warfighter,” Air Force Chief of Staff Gen. Ken Wilsbach said in a statement. The post Air Force reaches CCA milestone with live-firing of missile from Anduril’s robotic fighter jet appeared first on DefenseScoop .

After a miserable bout with cyclosporiasis, Chase Strangio is sounding the alarm on food safety. The post The ‘Explosive Diarrhea’ Bug Was This SCOTUS Lawyer’s Most Unpleasant Argument Yet appeared first on Above the Law .

Lt. Gen. Frank Lozano told an audience Tuesday that the service is looking to award the first contracts for its CAML program next month, and it is in final negotiations with AV for its E-HEL initiative.

Anthropic is lining up investor meetings ahead of a potential IPO as soon as October as the AI startup behind looks to beat rival OpenAI to the public markets.

The walk back came a day after ICE agents had been told to avoid vehicle stops in the wake of deadly shootings in Maine and Houston.

La IA ya forma parte de nuestra vida, tanto personal como laboral. En este último ámbito, puede ser una herramienta que nos ayude mucho con procesos de todo tipo, pero todo va a depender de qué utilicemos para ello. Hay muchos autónomos o emprendedores que simplemente buscan algo sencillo e intuitivo que no implique muchas complicaciones. Eso es justo lo que ofrece Hermes Agent de Hostinger, ahora con un ofertón : de 18,99 euros al mes pasa a costar 4,99 euros al mes. Una IA para automatizar y f

Amazon macht bei verschiedenen Sorten des Energydrinks von Rockstar erneut den Prime-Day-Preis. Der Deal gilt aber nur kurze Zeit. ( Unterhaltung & Hobby , Rockstar )

In a bid to accelerate Nigeria's clean energy transition, Sterling...

The US government's restrictions on Anthropic and OpenAI frontier models have intensified calls in the UK and other countries to reduce their reliance on US tech companies, with significant cyber implications.

ABC and NBC did not specify why they declined to air the speech, but networks are often loath to grant time to presidents for overtly political purposes.

Eighteen months of tearing down the rule of law has a way of changing minds. The post Todd Blanche’s Former SDNY Colleagues Vouched For Him Last Year. They Won’t Make That Mistake Again. appeared first on Above the Law .

A group of 26 Meta employees has sued the company, claiming it used artificial intelligence systems to select people for layoffs, disproportionately targeting those on medical, parental or family leave. They are among the 8,000 employees, or about 10% of its workforce, Meta said it would lay off in May. The lawsuit filed late Monday...

Lightspeed was the lead investor in AI music generator Suno's $125 million Series B round in 2024. Source

Adding to a string of funding related disclosures today, Ather Energy has now opened a qualified institutional placement (QIP) to…

Family preferences on childcare arrangements vary, sometimes wildly, but many parents consistently report a desire to be able to care for their young children themselves and for trusted family, friends and neighbors to be able to do so. Childcare policy, though, has historically been designed without fully accounting for what families actually say they want. […]

In this AI Prognosis news roundup: Mayo's AI whistleblower, Sutter Health's reply to lawsuit over Abridge scribe, and more.

Elon Musk a promis, sur X, de publier l'intégralité du code source de la plateforme une fois une revue de sécurité achevée. Mais sa précédente promesse de transparence, plus limitée, montre déjà les limites de l'exercice.

The year 2026 has begun on a strong note for India’s startup ecosystem, with Juspay becoming the first unicorn of…

[Sponsored] A complete walkthrough of the modern medical record retrieval pipeline — followed by the scorecards, fee agreement language, and ROI worksheet you can hand to your operations lead. The post The End-to-End Medical Record Retrieval Playbook appeared first on Above the Law .

New studies point to the power of testing for and treating tau, a protein that builds up in Alzheimer’s disease, instead of just amyloid.

Atlassian Corp. today announced it is expanding Jira with updates that will help developers prepare, distribute and track work performed by artificial intelligence agents. The company’s new Jira Planner helps turn incomplete project ideas into technical specifications, while its Jira Coding Agent and integrations with third-party agents transform work items into requests. With automation rules […] The post Atlassian evolves Jira into an orchestration hub for developers and AI agents appeared fir

Perplexity AI Inc. today introduced a new feature that takes its current agentic artificial intelligence service, Computer, to perform better with greater security. The company introduced SPACE, a sandbox platform designed to allow its AI agent to act with its full capabilities, while providing the highest level of security for agentic systems. Perplexity Computer can […] The post Perplexity launches secure sandbox to make its AI agents secure and powerful appeared first on SiliconANGLE .

Googles offizielle IDE für die Entwicklung von Android-Apps setzt verstärkt auf KI-Integration, unter anderem mit mehreren parallel laufenden Agentenchats.

Justices Kagan and Barrett testified before Congress about threats posed by AI and its impact on court processes.

Not everyone who invested in the Trump-branded coins did as well as Trump did... The post Scam Or Speculation: The Legal Questions Behind Trump’s Crypto Empire appeared first on Above the Law .

The NYC Game Design Future Lab offers mentorship, workshop, and investor opportunities for Big Apple-based developers.

OpenAI, for the second time in the past few months, is facing a legal battle that could alter the company’s trajectory. This time, it is squaring off against Apple in a fight whose origins can, in some ways, be traced to a time long before the AI giant existed. Apple’s case against OpenAI centers on accusations that the company stole Apple’s intellectual property. The iPhone maker alleges that OpenAI asked former Apple employees and prospective recruits to bring information about unreleased prod

When combined with another exploit, the "PromptFiction" vulnerability, which has been fixed, could have enabled an end-to-end attack on a targeted system.

In an exclusive interview with DefenseScoop, Owen West shared new details about his vision to reshape DIU’s operational structure to fit its modern mission. The post In its next chapter, DIU aims to reduce the military’s ‘cost per kill’ appeared first on DefenseScoop .

The $21 billion company behind Eventbrite, Vimeo, and AOL has just revealed how it picked 286 out of 800,000 job applications.

If a track is judged harmful and its creator is under 19, the distributor must block it from release, according to The Korea Times. Source

“It wasn’t just an AMRAAM that came off,” Air Force Chief of Staff Gen. Kenneth Wilsbach told Breaking Defense. “It was tracking the target.”

Turns out selling out the rule of law doesn't come with a warranty. The post Trump Turns On Capitulating Biglaw Firms HAHAHAHAHA appeared first on Above the Law .

The sum falls slightly short of the $67 billion requested by the White House for expenses related to the Iran War.

Indiana K-12 schools must meet new standards before seeking approval to implement a four-day school week. The model, once favored by rural schools due to a shortage of bus drivers, is spreading nationwide to urban and suburban districts seeking to recruit teachers and students by extending the school day, so students and staff can take […]

How does ChatGPT Work compare with Claude Cowork for desktop automation? My testing reveals similar results, similar strengths, and one major reason Claude currently feels considerably safer right now.

Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints. By Leela Kumili

Apple will reportedly partner with Chinese firms Baidu and Alibaba to roll out its AI service in the country.

Authorities said Wednesday that the group operated like a legitimate international business since at least 2021, running about two dozen call centers across several countries and employing more than 700 people who posed as professional financial advisers.

Businesses are putting AI agents on the phone and in chat faster than their compliance teams can keep up.

Anaconda, a company that provides governed, open-source packages and environments for enterprises, has acquired popular open-source coding agent Kilo. The The post Anaconda buys Kilo, the open source coding agent that answers to no single model maker appeared first on The New Stack .

Nearly 200 healthcare and patient advocacy organizations endorsed the bipartisan Clinical Trial Modernization Act, which seeks to reduce financial barriers and expand access to clinical trials for underrepresented patients. The post Nearly 200 Organizations Back Bill To Expand Access To Clinical Trials appeared first on Above the Law .

China has completed the world’s first commercial surgery using an invasive brain-computer interface (BCI) device approved in March, marking a leap in the country’s neurotechnology push to rival Elon Musk’s Neuralink. Chinese surgeons implanted a coin-sized brain chip on a patient with impaired hand mobility linked to a spinal cord injury from a car accident 10 years ago, according to a statement from the Science and Technology Commission of Shanghai Municipality on Wednesday. The procedure,...

The bill requires full price transparency, forces anyone advertising 50 or more tickets a year for resale to register with the District. Source

After analysing a photo of Mitch McConnell that social media users claimed was AI-generated, AI and deepfake detection expert, professor and author Dr Hany Farid told the ACFE Global Fraud Conference that the bigger challenge for fraud prevention experts may be proving what's real rather than spotting what's fake.

Die starke Abh�ngigkeit vom Mainframe-Gesch�ft und eine fehlgeleitete Investitionspolitik haben f�r IBM gro�e Verluste zur Folge. ( IBM , B�rse )

TVS VENU Group-led NBFC Home Credit India has approved the complete acquisition of education-focused NBFC Varthana Finance in an all-cash…

Months before Kent Carpenter's planned retirement, a masked trio killed the Old Dominion professor in his home in the Philippines.

Enterprises are moving fast to adopt voice AI. Across ecommerce, banking, education, recruitment and customer support, companies want voice agents…

Nur Wochen nach einer milliardenschweren Finanzierungsrunde soll DeepSeek die nächste Runde und parallel einen Börsengang planen.

The move is likely to provide a boost for those pushing for companies to issue some of their stock on blockchain.

A lot is written about corruption, but fundamentally it’s about trust and how healthy societies can’t exist without it; and the World Cup has shown what happens when trust breaks down. The decision to allow U.S. striker Folarin Balogun to play in the World Cup match against Belgium was, according to FIFA, made by the The post FIFA’s games betray our trust appeared first on Coda Story .

Suno is hiring for a Director of Accounting tasked with building 'toward the controls and rigor required for IPO readiness.' Source

Simple age-old bugs give bad actors access to developers' secrets and source code-rich environments.

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to leverage Postgres's multi-modal capabilities - including JSONB parsing and high-recall HNSW vector indexing - to deliver deterministic and semantic context to LLMs. She also discusses vector quantization to speed up queries by 4x and strategies for managing agentic memory. By Gwen Shapira

She says in a speech today at the American Enterprise Institute that government policy based on a technology being considered ‘future proof’ will stifle innovation and hurt rural areas most

* The DOJ subpoenas the Biglaw firms who surrendered to the Trump administration. It's almost as though cutting a deal with a bad faith actor was bound to cause trouble. [ New York Times ] * Todd Blanche hearings kick off today as Trump's personal lawyer seeks official Attorney General title. [ NPR ] * When Blanche was up for the deputy AG job, 116 lawyers who worked with him at the SDNY wrote a letter of support. They're... not writing a letter this time. [ MSNow ] * James Comey moves to consol

In Donald Trump’s famously transactional foreign policy, the critical resources of sovereign countries, from oil to rare earths, are being weaponized in a superpower struggle for control and dominance The post The Chilean curse is its abundance of riches appeared first on Coda Story .

Here are five key things investors need to know to start the trading day.

Picture a second grader who is struggling to read at a school trying hard to fix that. He gets his regular classroom lessons, is pulled out for intervention during the day and works with a tutor. On paper, he is a child surrounded by support. But here’s what it feels like from his seat. In […]

Green energy industrialist awarded damages after taking case to Court of Appeal. The post Dale Vince wins damages on appeal over ‘unfair’ Daily Mail headline juxtaposition appeared first on Press Gazette .

A startup called American Growth Insurance said today it has raised almost $70 million in committed equity capital to transform the insurance industry. It plans to do so with an aggressive, technology-focused business model that’s quite unlike anything its competitors do. AGI, officially known as AGI Holdings LLC, says it has worked out how to use […] The post AGI raises $70M to buy up and transform insurance firms into AI-native operations appeared first on SiliconANGLE .

It’s raining unicorns this year. Less than a month after proptech startup Square Yards became the country’s 131st unicorn, AI…

Creatio Inc. today introduced what it calls a major update to its customer relationship management and workflow platform that enables business users and information technology teams to build, deploy and govern artificial intelligence agents alongside conventional customer workflows. The Creatio 10x release combines the company’s CRM applications with new tools for developing personal assistants, deterministic […] The post Creatio expands beyond its no-code roots with conversational development t

By Tom Saunders Today (15 July), legal technology vendor Litera announced it is relaunching to position itself as a platform which unifies the practice and business of law, underpinned across […] The post Litera relaunches to clarify and reinforce its market position appeared first on Legal IT Insider .

HSBC UK is working with Visa to develop AI-powered shopping experiences, introducing secure technologies that will enable customers to use their cards in agentic commerce in a trusted and controlled way.

À 99 euros, le Google Fitbit Air est un des produits les mieux positionnés pour suivre sa santé… mais son application n'exploite pas assez bien les données collectées. La version 3.1 de Bevel change la donne : l'app peut désormais se connecter directement à Google Health et transforme le bracelet en alternative crédible à Whoop.

As part of implementation arrangements, the iDICE Programme Coordination Unit (PCU) within the...

Maternal and baby care startup Promom has raised ₹30 Cr ($3.1 Mn) in a funding round led by Fireside Ventures.…

LiteLLM macht aus verstreuterKI-Nutzung eine zentral verwaltbare Plattform - mit Routing, Budgets und Governance f�r verschiedene LLMs. Ein Ratgebertext von Philip Lorenz ( LLM , KI )

A UK government-backed study finds nearly two in five children have bypassed online age checks, mainly by lying about their age. The findings raise questions about the effectiveness of age assurance systems under the Online Safety Act. The post 39% of UK children bypass age checks, mostly by lying about their age: Report appeared first on MEDIANAMA .

The Federal Government of Nigeria (FGN) has received financing from the African...

AWS and Anthropic have released the Claude apps gateway for AWS, a self-hosted control plane that centralizes identity, policy, telemetry, routing, and spend caps for Claude Code and Claude Desktop. The gateway runs as a single stateless container and routes inference to Amazon Bedrock or Claude Platform on AWS. By Steef-Jan Wiggers

Chinese regulators have granted Apple a long-awaited licence to roll out its artificial intelligence service on iPhones in the country, with Alibaba Group Holding and Baidu serving as technical partners. The Cyberspace Administration of China (CAC), the country’s internet watchdog, published a notice on Wednesday confirming the licence for Apple Intelligence – the AI feature used to summarise emails, draft reports, edit images and perform other tasks. It was granted alongside six other...

Withings' new $600 bathroom scale promising clinical-grade monitoring is finally available to buy.

I run into a former student of mine, outside of school. “How are you, miss?” he asks. I respond in our native tongue, “Muy bien, ¿y tú?” We chat briefly about students from our class, and I ask about Camila — a silly ninth grader who always brightened our days. “Hay … la deportaron, miss,” […]

The billionaire could face criminal charges for possibly violating Wisconsin law when he offered voters $1 million last year, a bipartisan panel found.

Das Fraunhofer IOSB schafft mit drei Humanoid Experience Labs ein niedrigschwelliges Angebot für Wirtschaft und öffentliche Hand zum Einsatz humanoider Roboter.

Cyber crime is accelerating in South Africa’s sports sector, warn insurance and cyber security experts.

The potential for solving problems in climate, oceans, the biosphere, and the biology of disease is vast, writes Celine Herweijer. The question is what we build them for.

Over the past decade, the AI -focused, for-profit Alpha School has grown from one campus in Austin to a growing list of more than 15 schools across the country, including in major cities like New York and San Francisco. Alpha School joins other AI-centric K-12 private schools , like Unbound Academy and the Khan Lab School , that parents can now choose for their children, paying anywhere from $40,000 to $75,000 per year in some cases. Some advocates of AI-driven education use slogans like “ Schoo

New York just became the first state to enact a one-year ban on large new data centers while the state government scrambles to develop regulations addressing challenges like energy demand and water use. “As data center development threatens to hike up utility bills, deplete our natural resources, and create uncertainty for New Yorkers, it’s my responsibility to take action and lead,” Governor Kathy Hochul said when she announced the executive order , which applies to data centers 50 megawatts (M

Wie sinnvoll ist KI im Job, beim Coden und Einkaufen? Wo verdichtet sie Arbeit, statt Fachkräfte zu entlasten? Antworten gibt das neue Sonderheft der c't.

The post This Private School Had Students Scrub Floors and Attack a Fellow Classmate. The State Still Funds It. appeared first on ProPublica .

AI creates a two-track labour market where human expertise delivers faster job growth, higher wages and stronger productivity, says PwC.

Electric two-wheeler (E2W) maker Ather Energy’s board has approved a fundraise of up to ₹1,200 Cr via a preferential issue…

Supply chains must not only comply with regulations, they also have to be able to adapt to shocks

Musk hat den Kauf von New APR Energy geheim gehalten. Dessen auf Trailern montierte Turbinen sollen xAIs KI-Rechenzentren antreiben. ( Elon Musk , KI )

Multiple workers impacted by the latest job cuts at Xbox believe the decision will hamstring some studios.

Artificial intelligence advocates fear New York’s one-year moratorium on new data centers could embolden Democrats across the country to put more restrictions in place.

By pushing for ever-tougher AI safety laws, Anthropic is drawing a distinction between its state lobbying strategy and OpenAI’s campaign to streamline a set of rules across the country.

D2C healthy snacking brand Open Secret has raised over ₹50 Cr ($5.2 Mn) in a funding round led by Desai…

Since early June, OpenAI's coding tool Codex encrypts the instructions a main agent passes to its subagents. Developers can no longer track how tasks get delegated internally. For the larger GPT-5.6 variants Sol and Terra, the encryption is mandatory. The article OpenAI's Codex now encrypts instructions between AI agents, leaving developers blind to internal delegation appeared first on The Decoder .

Hong Kong has approved its first “digitally native” tokenised fund, allowing professional investors to hold direct ownership of the underlying assets on a public blockchain, issuer Baillie Gifford says, as the city steps up its challenge to the US as a global crypto hub. The British fund manager said on Wednesday it had received approval from the Securities and Futures Commission to launch the Baillie Gifford Enhanced Yield Fund (BAGEY) – an actively managed portfolio of short-duration...

The Indian AI ecosystem is no longer restricted to chatbots, agents and copilots. Across industries, tech is increasingly being deployed…

Google I/O Connect India 2026 showcased new AI initiatives across healthcare, education and digital infrastructure. The post Karnataka CM announces green data centre, plans AI university at Google I/O connect India appeared first on MEDIANAMA .

Former and current Meta employees are suing the company in a California federal court over AI-driven mass layoffs. Meta allegedly used internal AI systems to generate the layoff lists when it cut 8,000 workers, disproportionately targeting employees with disabilities or on parental leave. The article Meta employees sue over layoffs they say were driven by discriminatory AI selection systems appeared first on The Decoder .

Editor’s note: This is the third article in a limited series celebrating American defense technologies born from wartime and their effects on broader national security, politics, and society. This series will run for several weeks to commemorate America’s 250th anniversary, and winners will be selected by a reader vote undertaken through our newsletter later this summer. Prior installments can be found at the Arsenal of Innovation page. In the half-century since the Gates Commission established

The West African country advanced rules to force organizations to disclose cyberattacks, joining other nations in a shift to mandated transparency.

It’s proven that today’s encryption is vulnerable to attack by a sufficiently mature quantum computer running Shor’s algorithm - a catastrophic event commonly known as Q-Day.

Samsung stellt klar: Die Ablehnung der KI-Datennutzung in Samsung Health führt nicht zum Löschen persönlicher Gesundheitsdaten oder zur Deaktivierung der Cloud.

Earlier this spring, Claude’s developers found the cyber potential of Anthropic’s model, Mythos 5, hazardous enough to pump the brakes on model release, creating the Project Glasswing collaboration to give cyber defenders the upper hand through controlled access to the model. Despite these efforts, the U.S. government stepped in on June 12, 2026, and forced Anthropic to take down Mythos and its safeguarded form, Fable 5 — an action the company disputed, calling the trigger a narrow, nonuniversal

The Trump administration is currently piloting a program in six states that expands Medicare prior authorizations using AI tools in an effort to reduce unnecessary medical spending. But it remains to be seen whether this new approach, which the administration has called “broken” in the private sector, will be effective without causing dangerous delays for Medicare recipients.

Switzerland's competition watchdog has launched a preliminary investigation into Google after the company removed Android's Choice Screen for selecting a default search engine. The post Swiss Regulator opens antitrust probe into Google over Android search defaults appeared first on MEDIANAMA .

House Hearing Puts Med Schools in DEI Hot Seat kathryn.palmer… Wed, 07/15/2026 - 03:00 AM Republicans grilled administrators from medical schools at UCLA, UC San Francisco and the University of Illinois over their admissions policies and curricula. Democrats dismissed the hearing as political theater. Byline(s) Kathryn Palmer

Amid Cyclosporiasis Outbreak, University Researchers Lend Their Expertise Johanna Alonso Wed, 07/15/2026 - 03:00 AM Foodborne illness researchers are fielding a wide range of requests to answer questions about the disease and the parasite that causes it, drawing attention to the role of academia in public health emergencies. Byline(s) Johanna Alonso

Investigation Finds Michigan Overlooked Issues With Coach Josh Moody Wed, 07/15/2026 - 03:00 AM Byline(s) Josh Moody

An Enrollment Reprieve for Rabbinical Schools Sara Weissman Wed, 07/15/2026 - 03:00 AM For years, major rabbinical schools saw head counts dwindle. Now some are welcoming large incoming classes after creating new pipelines to the rabbinate. Byline(s) Sara Weissman

A New Path Between Trades and Degrees Joshua.Bay Wed, 07/15/2026 - 03:00 AM The University of Mount Saint Vincent has established a partnership with Apex Technical School to create pathways for students to earn both trade credentials and college degrees. Byline(s) Joshua Bay

Would You Prefer Rocks Over Higher Education? kjohnsonbowles… Wed, 07/15/2026 - 03:00 AM Are you dumber than a rock? Why the arts, humanities and social sciences are the bedrock of society and why you couldn’t live without them. Byline(s) Kathy Johnson Bowles

What if the U.S. Government Owned Stock in AI Companies? jdimaggio@upcea.edu Wed, 07/15/2026 - 03:00 AM Who is responsible for compensating Americans for jobs lost to AI? Byline(s) Ray Schroeder

On Techpoint Digest, we discuss Kenya licensing 25 more digital lenders, Malawi tightening data protection regulations, and Morocco reducing card payment fees.

Digitising the kasi economy is about giving informal traders the economic visibility they have never had, and the access to capital that comes with it, says Johan Gellatly, MD of Altron FinTech.

The conference will delve into the findings of this year’s IITPSA Skills Survey, which will analyse the impact of AI on ICT jobs in SA.

New York has become the first US state to pause new hyperscale data centre permits while regulators prepare a comprehensive environmental framework. The post New York becomes the first US state to establish a moratorium on data centres appeared first on MEDIANAMA .

Faranani DocTec specialists unpacked why many companies still lack visibility into the personal and sensitive information they hold, where it lives and who can access it.

The SA Youth CV gives young people a structured way to translate formal and informal experience, as well as paid and unpaid work, into clearer signals of capability, says Soraiya Verjee, product manager: youth technology at Harambee Youth Employment Accelerator.

Investment tech platform Groww’s consolidated net profit zoomed 94.3% to ₹735 Cr in the first quarter of FY27 from ₹378.4…

In today's edition: Moniepoint taps former Branch Kenya CEO || Kenya approves 25 more digital lenders || Rwanda rolls out eKash || Malawi proposes data protection rules

Chinese frontier artificial intelligence start-up DeepSeek is in talks with investors to raise a new financing round at around US$70 billion pre-investment valuation, shortly after closing a landmark first round, reflecting unquenched investor enthusiasm for the company. The plan comes on the heels of the Chinese AI darling’s recently closed Series A funding round in June – its first external funding round – which brought in about US$7 billion and valued the Hangzhou-based firm at nearly US$60..

Üben Sie in einer praxisnahen Laborumgebung, wie Sie Schwachstellen in Ihrer IT-Infrastruktur finden und Ihre Systeme gegen Angriffe effektiv absichern können.

Update | July 14, 16:14 IST Shares of Ather Energy ended today trading session 7% higher at ₹1298 apiece on…

Drones and autonomous systems are moving from niche battlefield tools to a core part of modern warfare.

Chinese group capitalises on boom in demand for AI memory chips

China’s leading memory chipmaker, ChangXin Memory Technologies (CXMT), has priced its Shanghai initial public offering at 8.66 yuan (US$1.28) apiece, positioning the company for the largest listing by a Chinese semiconductor company on a mainland bourse. The firm, based in Hefei, Anhui province, is expected to raise gross proceeds of 57.9 billion yuan (US$8.5 billion) from the sale of nearly 6.7 billion shares, according to an offering announcement released on Tuesday. The shares represent 10...

CXMT, a Chinese DRAM chipmaker, has set the price of its Shanghai STAR Market IPO at RMB8.66 per share. The company will offer 6.69 billion shares, with online and offline subscriptions scheduled for July 16. The offering is expected to raise about RMB57.9 billion ($8.55 billion) before any over-allotment option, giving CXMT an implied post-IPO […]

D2C grocery startup Anmasa has raised ₹30 Cr ($3.1 Mn) in its seed funding round. The round was led by…

Digital video ad spend continues to climb, but buyers say bigger budgets bring tougher questions about inventory quality, supply chain transparency.

Funding round sees Neko Health’s valuation jump fourfold to almost $7bn for Spotify founder

German start-up’s fundraise gave it higher revenue multiple than many US and European peers

US hedge fund that controls Vertical Aerospace wants a strategic partner to boost its credibility

“It’s telecom policy à la Draghi,” Kyriakos Pierrakakis said in an interview.

DeepSeek, the Hangzhou-based AI model developer, has begun preparing for a mainland IPO and may file its listing application as soon as this year, according to Bloomberg, citing people familiar with the matter. The company is targeting a 2027 debut. DeepSeek is in talks with accounting and banking advisers and is seeking additional private funding […]

SHEIN Global Holdings Limited, the company behind China-founded fashion e-commerce platform SHEIN, has received a filing notice from China’s securities regulator for a proposed listing on the Hong Kong Stock Exchange. The notice, issued on July 10, was based on materials submitted through the company’s mainland operating entity, Guangzhou Shein International Import & Export Co., […]

Anthropic Banks On INR Anthropic is pulling all stops to boost adoption in India. The AI giant has now launched…

Xiaomi has revealed the latest progress of its humanoid robot deployed in an automotive factory. Following four months of iteration, the robot’s success rate at a self-tapping nut loading station has risen from 90.2% to 98%, narrowing the gap with human workers’ qualification rate to just one percentage point, according to the company. The company […]

SK Hynix led a broad rally in Asian technology shares on Wednesday, tracking a rebound in U.S. semiconductor shares after a sharp selloff earlier this week.

Sometimes, you have to dial back the tech to make ends meet.

TerraFirma Inc., a startup with a platform that enables construction teams to remotely operate heavy machinery, has raised $115 million in funding. The bulk of the capital arrived in the form of a $100 million Series A round led by Kleiner Perkins. TerraFirma disclosed today that Bain Capital, Definition and more than a half-dozen other […] The post Construction automation startup TerraFirma raises $115M appeared first on SiliconANGLE .

Electric mobility startup E3 Electric.Ai has raised ₹100 Cr (about $10.4 Mn) in a mix of equity and debt as…

The European Union (EU) is considering banning social media for children, following similar efforts seen in the United Kingdom and Australia to restrict children's access to social media platforms. On Monday, a 156-page report given to European Commission President Ursula von der Leyen suggested restricting access to social media for children under the age of...

CardinalOps will give Cribl customers the ability to map detection rules and security controls to the MITRE ATT&CK framework. SecOps teams can identify coverage gaps and operationalize threat intelligence.

What I learned navigating a policy vacuum as a tech coordinator and the collaborative process to build an AI-ready culture.

A conversation with Pat Yongpradit, general manager of global education and workforce policy at Microsoft.

CSET’s Jessica Ji shared her expert insight in an article published by MIT Technology Review. The article examines how OpenAI developed GPT-Red, an AI "super-hacker" designed to automatically identify vulnerabilities in large language models and strengthen their defenses against cyberattacks through AI-powered red-teaming. The post Meet GPT-Red: an LLM super-hacker OpenAI built to make its models safer appeared first on Center for Security and Emerging Technology .

OpenAI outlines a “reverse federalism” approach to AI governance, where state laws help build a national framework for safe, democratic AI.

Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.

The California legislature has stepped back from a plan that would have expanded its age-gating law, removing language that could have compounded serious threats to users’ speech, privacy and security just to browse the internet. A.B. 1856 , authored by Assemblymember Buffy Wicks, will now move forward through the legislature without its most problematic pieces. EFF still believes the underlying law that A.B. 1856 amends, A.B. 1043 , is unconstitutional. Signed into law in 2025 (and effective Ja

Oura Rings, Garmin GPS fitness watches, Apple Watches, Whoop bands—every year, more and more tech devices are promising to monitor our health and fitness, guide us toward healthier living, and provide useful health metrics to take to our doctors. But few of these tools provide the sorts of privacy and security promises we demand from all technology, let alone tech that captures personal health data. It’s time they step up and start providing transparency reports and stronger encryption options.

EPIC filed a Freedom of Information Act (FOIA) request on Wednesday seeking records about the U.S. Department of Agriculture contracting with Palantir Technologies to identify and investigate alleged waste, fraud, and abuse in the Supplemental Nutrition Assistance Program (SNAP).

The effort to age gate the internet is back in Washington—and now it has a new name. Recently passed by the House of Representatives, the KIDS Act is a sprawling package of proposals to control what we can see and say online. Supporters claim the KIDS Act is needed to protect minors online. But if lawmakers really want to make the internet safer, why are they encouraging more surveillance instead of protecting our privacy? We dive into this question with our EFFector newsletter . JOIN OUR NEWSLE

Co-authored by Jack Maketa, U.S. Legislation Intern On June 30, the Future of Privacy Forum (FPF) submitted comments in response to the California Department of Justice’s (the Department’s) ongoing rulemaking process for the “Protecting Our Kids from Social Media Addiction Act” (the Act or SB 976). Signed into law in 2024, SB 976 bars operators […]

On Wednesday, EPIC submitted comments urging the U.S. Department of Agriculture (USDA) to withdraw its revised System of Records Notice for the proposed National SNAP Information Database, a centralized database that would unlawfully collect sensitive personal information about Supplemental Nutrition Assistance Program (SNAP) applicants and recipients nationwide.

Co-authored by Sarah Hanson, FPF Health & Wellness Intern This article discusses suicidal ideation, which may be distressing for some readers. (If you or someone you know is struggling, help is available. You can call or text the Suicide & Crisis Lifeline at 988 or visit 988 Lifeline for free, confidential, 24/7 support.) As many […]

Today, we are publishing our latest paper on gendered disinformation and the EU’s response to this growing democratic challenge. Part of our TFGBV series, the paper explores how existing legislation can be leveraged to tackle gendered disinformation, where the current framework falls short, and what policymakers should do next. Online gendered disinformation is not just […] The post Silenced by Design: Gendered Disinformation and its Threat to Democracy appeared first on Center for Democracy and

General-purpose robots and autonomous machines are moving from research labs to real-world mass-market deployment, creating demand for compact, power-efficient AI supercomputers capable of running foundation models at the edge. To meet that need, NVIDIA today introduced the T3000 and T2000, new modules based on the NVIDIA Thor architecture that enable mass-market robotics and edge AI […]

AI is changing how B2B brand and communications teams invest, operate, and prioritize work. As companies look for practical ways to apply AI across marketing, leaders are reevaluating program investments, talent needs, and the capabilities required to drive growth. Forrester’s 2026 Brand And Communications Survey reveals a more deliberate approach to these decisions, particularly in areas tied to digital engagement, brand visibility, and influence.

Threat actors compromised AsyncAPI packages and weaponized trusted CI/CD workflows to distribute malware through npm. This analysis breaks down the attack chain, payload delivery, and recommended ...

Drone swarming is often referenced as an important future capability, with little understanding of what is possible today, and how the tactic is enabled.

TheNew York Times (Opens in new window) recently reported the world’s leading deepfake expert Hany Farid no longer trusted his own eyes. Farid, a University of California professor in Berkeley, felt ...

Today’s computers need safeguards against random energy fluctuations. Thermodynamic computers would put those fluctuations to use. The post Thermodynamic Computers Go With the (Energy) Flow first appeared on Quanta Magazine

As we wrote in May, Elsevier is suing Meta over use of copyrighted works for training Meta’s AI models. It has a set of claims very similar to those in Kadrey v. Meta, but with a different purported class that includes authors and publishers who own copyright in academic journal articles and other academic works.

Although too early to tell whether campaign promises will translate into policy, de la Espriella’s platform on climate and human rights marks a departure from the Petro administration. The post After Colombia’s Presidential Election, What Next on Climate and Human Rights? appeared first on Just Security .

The European Commission is finalizing two sets of binding measures under its flagship competition regulation, the Digital Markets Act (DMA). These measures would force designated gatekeepers to share ...

Attorney General nominee Todd Blanche's prosecutions of Comey and others reveal a pattern of prosecutorial sycophancy — charges brought to please Trump. The post To Audition for the Role of Attorney General, Blanche Is Prosecuting to Please appeared first on Just Security .

The midterms are just months away, yet the Trump administration has spent the last year systematically slashing agency staff and scuttling initiatives responsible for detecting and disrupting foreign ...

Home to leading manufacturers, robotics pioneers, infrastructure builders and iconic gaming companies, of course, Japan is one of the world’s centers of AI — building across the full stack with NVIDIA technologies. This week NVIDIA and its partners in Japan are showcasing the AI ecosystem’s latest advancements. Check back here for updates.

...

On 13 July 2026, the Hungarian Parliament enacted the 17th Amendment to the Hungarian Fundamental Law. In line with the TISZA Party’s election manifesto, the Amendment ends the current President of the Republic’s, Tamás Sulyok’s, term of office. This is undoubtedly an extraordinary measure. Given the President’s apparent partiality and his failure to respond consistently to earlier illiberal constitutional developments, I consider the exceptional and temporary constitutional change to be justifi

The assets within global Non-Bank Financial Institutions (NBFIs) increased to $257 trillion by the end of 2024 – or more than half of total global financial assets, according to the Financial ...

July marked the effective date for China's new requirements and potential liability on providers of AI-powered "emotional interaction services," marking the latest jurisdiction to tackle companion and ...

In May 2026, Scottish voters once again returned the Scottish National Party (SNP) to power for the fifth successive Scottish Parliamentary election. The pro-independence SNP will bring up twenty years in government at Edinburgh next year. With the SNP promising another independence referendum but not having a legal mechanism to provide one, and polling on that issue still sat at about 50-50, the Scottish political Groundhog Day looks set to continue. Beneath the stasis, however, there is moveme

The U.K. Department for Science, Innovation and Technology and Information Commissioner's Office announced the seven inaugural non-executive board members who will lead the reorganized data protection ...

A delay in formal high-risk AI Act application does not pause enterprise procurement diligence. For many non-EU AI vendors, the first serious pressure point will still be a customer evidence request.

Andreas Urbanski was Director of AI Partnerships at Google Cloud and VP Digital at Airbus Defence & Space. He spent many years in senior roles in the Silicon Valley software industry.

Budget optimism is rising as 2027 approaches — but more spend alone won’t improve outcomes. Use this moment to reset your AI investments. Prioritize the readiness, governance, and context required to make it truly work.

Notice is hereby given, pursuant to the provisions of the rules and regulations of the U.S. Commission on Civil Rights (Commission) and the Federal Advisory Committee Act, that the Maryland Advisory Committee (Committee) to the Commission will hold public meetings via Zoom. The purpose is for the committee to begin hearing expert testimony and continue briefing planning on the committee's chosen topic of artificial intelligence and its application in voting administration.

The U.S. Nuclear Regulatory Commission (NRC) is proposing to amend its regulations that govern its standards for protection against radiation. These proposed revisions would address section 5(b) of Executive Order 14300, "Ordering the Reform of the Nuclear Regulatory Commission," and would reflect the NRC's experience and other developments in the field of radiation protection since the NRC's last major revisions to these standards in 1991. In addition, the NRC is issuing for public comment draf

On 3 July, the Steering Committee meeting of the Council of Europe Project “HELP (Human Rights Education for Legal Professionals) for Ukraine, including during wartime", Phase II was held in a hybrid ...

The UK economy has remained resilient, but the war in the Middle East has dampened near-term growth prospects. Growth is projected to slow to 1.0 percent in 2026 before gradually recovering as the ...

Access to education continues to worsen in the West Bank, the United Nations reported on Wednesday. Ten schools in Area C of the West Bank were recently abandoned due to settler attacks and access ...

The Federal Trade Commission finalized an order with Vanilla Chip LLC—which does business as TruHeight—and its two principals requiring them to pay $750,000, while barring them from making false or unsupported health claims and using fake or incentivized consumer reviews. View Press Release

What GAO Found The Department of Justice’s Executive Office for Immigration Review (EOIR) conducts immigration court proceedings both in-person and using remote technology, such as WebEx—an internet-based video teleconferencing platform, or telephone. Per EOIR policy, immigration judges may use discretion to decide which, if any, remote medium is used by participants in a hearing. EOIR collects data on the medium used for each hearing, which reflects the location of only the judge and respondent

What GAO Found In July 2024, the National Nuclear Security Administration (NNSA) released an internal Integrated Science, Technology, and Engineering (ST&E) Plan documenting investments needed for ST&E capabilities over the next 20 years. NNSA’s plan identified and prioritized 46 ST&E facility investments across the nuclear security enterprise that support stewardship of the nuclear weapons stockpile and other NNSA missions. The investments were prioritized by mission importance and mission need

Why This matters Across the globe, over 24 million tons of plastic (as much weight as 12 million cars) enter the environment each year. Larger plastics gradually break down into smaller microplastics, which can move into the organs, blood, and cells of humans and other animals. Key Takeaways Major sources of microplastics include vehicle tires, synthetic fabrics, plastic bottles, and paint. Exposure to microplastics is associated with health problems in humans and other organisms, but scientists

Why This Matters Bad actors may falsify the geographic origin of products to illicitly sell goods or substitute premium products with cheaper products, which can threaten our economy and consumer safety. In 2021, the U.S. International Trade Commission estimated that U.S. commercial fishing may have lost nearly $61 million in operating income due to illegal, unreported, and unregulated seafood imports. Technologies that verify the origin of imported food and agricultural products, like seafood o

What GAO Found Through the Moab Cleanup Project, the Department of Energy’s (DOE) Office of Environmental Management (EM) has removed over 16 million tons of uranium mill tailings and other materials at the Moab Mill Site in Utah, as of 2026. Tailings are leftover waste after uranium has been removed from rock. EM has sent the tailings and contaminated material to a nearby disposal site. EM is also working to remediate contaminated groundwater, which threatens the nearby Colorado River. Moab Mil

In brief On 17 June 2026, the UAE Cabinet issued Resolution No. 106 of 2026, the first detailed instrument under the Child Digital Safety Law (Federal Decree-Law No. 26 of 2025). It introduces a hard age limit for social media, backed by mandatory age verification, and applies to any social media platform operating in or directed [...] The post United Arab Emirates: Legislation Issued Banning Under-15s from Social Media appeared first on Connect On Tech .

Two years into the Science Decade, scientists across the world have mobilized with remarkable energy. Governments must now turn this momentum into policies, budgets and measurable impact – with UNESCO ...

On 17-19 November 2026, the Centre of Expertise for Multilevel Governance of the Congress of Local and Regional Authorities, in collaboration with the Digital Development Unit (DGI) will organise the ...

Constrained generative models aim to produce samples that satisfy complex feasibility constraints while remaining faithful to the data distribution. Existing constrained generation methods typically enforce constraints either through training-time optimization or sampling-time correction. Training-time optimization approaches optimize on states induced by the training distribution, which can differ substantially from those encountered during sampling. Sampling-time correction methods instead mod

Human-in-the-loop Reinforcement Learning has become a popular approach to training, finetuning, and aligning robot behavior with user preferences. Our paper explores the feasibility of using brain signals via functional near-infrared spectroscopy (fNIRS) to modulate robot learning in simulation. We compare agents trained on passive (observational) versus active (demonstrative) interaction tasks, and test multiple methods for enhancing the RL algorithm with the neural signal, focusing on paramete

People use language models for practical questions whose answers are difficult to verify. We show that models exhibit covert value leakage: the information they provide is influenced by their own values, without this influence being disclosed to the user. In one of our evaluations, the user is considering investing in an AI company and wants to know how likely the AI bubble is to pop. Claude Opus 4.8 gives a lower probability when the company under consideration is Anthropic rather than OpenAI.

Efficient long-context inference is not only about reducing memory cost, but also about keeping useful contextual evidence accessible as generation proceeds. However, existing compression-oriented approaches, such as key-value (KV) cache compression and context compression, often either make an early decision about which contextual information to keep or rely on an external compressor. Such designs make it difficult to adapt the compressed context to the evidence needed by later reasoning steps.

The rapid development of Large Language Models (LLMs) and Artificial Intelligent (AI) powered autonomous agents has fundamentally changed the existing forms of software governance. In spite of the rigorous standards of transparency and account ability required according to the international frameworks such as the European Union's AI Act, there is a considerable gap between theory and reality. The present study discusses the inherent drawbacks of currently utilized platforms for LLM evaluation, m

Safety alignment in LLMs aims to align models with human values, but which values take precedence when they conflict? We investigate this question in the context of tool-calling LLM agents deployed in regulated industries, where agents processing confidential documents may encounter content that triggers safety-trained values (e.g., public welfare) that conflict with deployment-context instructions (e.g., internal logging). To empirically verify this phenomenon, we build a benchmark of 128 scena

Context engineering has become central to building reliable AI agents, yet it remains largely unmeasured. Agents do not fail in isolation: their behavior is shaped by the instructions, tools, memory, retrieved knowledge, guardrails, and untrusted inputs accumulated in their context. When this context is weak, agents drift, hallucinate, misuse tools, ignore constraints, become vulnerable to injection, and waste tokens. This paper validates context-engineering quality as an independent leading ind

Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic, context-dependent nature of real-world human-AI interactions. In this paper, we argue for a shift from static and emulative to interactive and complementary alignment, where preferences emerge through interaction and alignment is defined not by satisfying preferences alone. We first formalize this gap by contrasting existing alignment with a

Pretrained vision-language-action (VLA) policies provide strong language-conditioned manipulation knowledge, but they remain largely vision-driven and can struggle once manipulation enters contact states where the scene is occluded, depth is ambiguous, or small force errors push execution off the offline demonstration distribution. We present LIFT (Late Reactive Injection of Force for VLA Post-Training), a force-aware post-training framework that adds contact reactivity to a pretrained VLA polic

Physics-informed neural networks (PINNs) have had a broad research impact in modeling domains governed by partial differential equations (PDE). However, PINNs have been shown to perform poorly, sometimes even converging to trivial solutions, in challenging PDE domains, or when generalizing to unseen but related PDE domains. Previously proposed solutions detail hyperparameter tuning to reduce loss imbalance between data-driven and physics guided losses, curriculum learning based training strategi

In this paper, we ask whether vision foundation models construct representations that reflect the intrinsic properties of 3D Euclidean space. Unlike previous works that probe 3D awareness of vision features by regressing image-centric quantities such as depth or normals, we investigate the relation between the structure of the space of visual features and the group of Euclidean transformations $SE(3)$. We propose a set of probes to evaluate this relation from both topological and geometric persp

This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant based on Retrieval-Augmented Generation. It aims to enhance earthquake preparedness and conscious action among primary-school students. The system extends the award-winning STEM project Earthquaker moving from mechanical simulation with Lego WeDo2 to cognitive and metacognitive processing. The robotics component uses L

Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositories to investigate (1) the adoption of agentic cod

Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositories to investigate (1) the adoption of agentic cod

Penetration testing traditionally evaluates whether adversaries can exploit weaknesses in software, infrastructure, configurations, or operational controls to achieve security-relevant compromise. This paradigm remains necessary for AI-enabled systems, but it is no longer sufficient. In such systems, adversaries may influence prompts, retrieved content, sensor inputs, training data, memory, tools, or human-AI interaction loops to alter system behavior without directly compromising the underlying

The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-directed agents capable of executing purchasing decisions, the conventional understanding of consumer-brand relationships requires a structural reevaluation. By synthesizing extant literature across human-machine teaming, consumer decision-making, and algorithmic trust dynamics, we demonstrate that tradi

Music-driven dance generation aims to produce human motion that is both rhythmically synchronized and semantically consistent with music. While recent neural approaches have achieved impressive visual realism, they typically model motion as a continuous signal and neglect its compositional nature, making generated dances structurally incoherent and difficult to control. In this work, we introduce a structure-aware framework that models choreography as a sequence of atomic movements-semantically

Personal health management unfolds over repeated encounters, yet most health AI systems treat each request in isolation. We developed HealthClaw, an open-source agent architecture that updates support as a person's routines, preferences, measurements and risks change. It separates shared safety rules and medical knowledge from private longitudinal memory containing profile facts, reusable procedures and episodic traces. After each episode, induction determines what should update the profile, rev

This study examines the integration of AI into Human Resource Management in German companies. We ask if and how AI-based technologies are \enquote{augmenting} human resource management. Organisations employ generative AI or predictive analytics to transform traditional human resource functions, to streamline routine tasks and to reallocate resources toward strategic, people-centred activities. Our findings from interviews and group discussions and a survey (N=410) reveal that while AI tools enha

Large language model (LLM)-based intrusion detection systems (IDS) are increasingly studied for security monitoring, yet their robustness against feasible traffic manipulation remains largely empirical. We present Traffic-Aware Randomized Smoothing (TA-RS), a classifier-agnostic certified defense that injects Gaussian noise exclusively into the directly controllable (DC) subspace -- features a remote attacker can modify -- during both fine-tuning and certification, aligning the smoothing distrib

Agentic AI systems increasingly act through heterogeneous runtimes: local coding hooks, SDK tools, browser automation, managed-agent traces, API gateways, and workflow engines. A single operational act such as publishing code, changing identity state, moving money, or exporting data may therefore be represented by many incompatible runtime records. This makes a basic governance question difficult to answer: what action was actually approved, what evidence binds the approval to execution, and can

Despite the rapid progress of Multimodal Large Language Models (MLLMs), they still suffer from untruthfulness issues, such as visual hallucinations, content fabrication, and unfaithful reasoning, which substantially undermine their faithfulness and practical utility. Alignment methods based on human preference, such as Direct Preference Optimization (DPO), have been widely adopted to address these issues. However, multimodal reasoning errors often propagate across stages, and final-answer errors

Explainable Reinforcement Learning (XRL) seeks to make Reinforcement Learning (RL) policies more transparent and interpretable, a key requirement in safety-critical and human-centric scenarios. However, it is mostly based on user studies, thus targeting the needs of a specific audience and lacking shared evaluation metrics. On the other hand, logic-based approaches within eXplainable Artificial Intelligence (XAI) provide compact, human-readable abstractions of decision-making. However, the syste

Do vision models see colors the way humans do? Existing evaluations of color representations usually compare them with geometric spaces such as CIELAB or with discrete color labels. These references capture perceptual distance or category membership, but not the graded way in which people organize colors. We evaluate color grounding against a fuzzy perceptual model with 86 graded categories fitted to human survey data. The framework can be applied to any image encoder and measures three compleme

Recent advances in 3D human reconstruction have improved overall performance, yet current models still fail in the most challenging real-world scenarios. They often produce unstable geometry, inaccurate limb articulation and unreliable predictions under depth ambiguity or self-occlusion. A key reason is that existing datasets still lack the combination of high-resolution images, high-precision annotations and diverse whole-body motions required to support robust reconstruction. To address this g

LLM agents are increasingly evaluated on multi-week decision tasks in which the state that drives cost is never directly observed. On such tasks the final cost cannot say why an agent failed: it may have misread the world, or read it correctly and still failed to act (the knowing-doing gap). Existing evaluations cannot separate these two failures; their reference policies either read privileged information the agent never sees, or are missing altogether. We introduce STOCKTAKE, a 26-week supply-

In this paper, we present an extension of liquid rank reputation systems that enables the aggregation and blending of multiple heterogeneous reputation sources into a unified reputation score. The proposed framework supports the incorporation of external reputational signals alongside internally generated reputation, allowing influence to reflect participation and contribution across multiple contexts and subsystems. By introducing explicit weighting and blending mechanisms, the model provides f

When cast as the protector of a vulnerable user yet given no explicit capability boundary, a large language model (LLM) may respond not by acknowledging its limits but by claiming to have taken -- or to be taking -- a real-world protective action it cannot perform, such as contacting emergency services or administering care. We term this phenomenon Protective Capacity Hallucination (PCH): a self-referential misattribution in which a model, acting in a protective role, asserts physical or institu

Recent advances in generative and embodied AI have been driven by large-scale predictive learning over multimodal data. However, the resulting systems remain largely based on passive training regimes where linguistic regularities create the scaffold onto which information from other modalities is attached. Conversely, neuroscience and cognitive science suggest that biological intelligence is organized in the opposite way, where grounded world models acquired through interaction with the environm

Looped Transformers scale sequential computation by applying a compact stack of physical blocks for multiple rounds, increasing unrolled depth without increasing stored parameters. This reuse changes the residual-scaling problem: in an untied Transformer, each residual branch receives and applies its own parameter update, whereas in a looped Transformer one shared update aggregates gradients from repeated visits and is read back by those same visits in the next linearized forward pass. We formal

Artificial Intelligence (AI), especially Generative AI (GenAI), adoption has increased in industries significantly in recent years. However, the use of these models may also expose systems to new forms of cyberattacks by different malicious actors -- adversarial prompt attack (APA) being one of the most prominent examples of such threats. This paper presents the implementation of an Adversarial Prompting Framework (APF) for a comprehensive assessment of AI safety. The framework systematically ev

Incremental object detection (IOD) aims to extend detectors to new categories while retaining previously acquired knowledge. Existing methods often adopt a class incremental learning perspective, separating feature spaces to sharpen decision boundaries. However, this separation-oriented paradigm may overlook object symbiosis in detection, where co-occurrence and occlusion introduce spatial and semantic dependencies that benefit from shared representations. Ignoring these dependencies distorts th

Spatio-Temporal Video Grounding (STVG) aims to retrieve the visual trajectory of a specific object from a video stream as described by a natural language expression. However, most advanced methods struggle to balance global context modeling with precise boundary localization. Due to the prohibitive computational costs of processing long videos, these approaches typically resort to low-rate temporal downsampling and implicit motion modeling. This inevitably suppresses high-frequency boundary cues

In bandit problems, standard regret-minimizing algorithms treat exploration as an amortized cost, which can expose early participants to unfair ex-ante losses in settings such as clinical trials. Recent work addresses this by evaluating the sequence of per-round expected rewards through the generalized $p$-mean, interpolating between utilitarian welfare ($p=1$), Nash welfare ($p\to0$), and Rawlsian fairness ($p\to-\infty$). Although tight guarantees are known for $p\ge0$, the strictly fair regim

We present xChk, a reference identity provider for Bring Your Own Identity (BYOI): users enroll via heterogeneous proofs (government KYC, corporate SSO, WebAuthn/FIDO2, professional networks, live verification, longitudinal activity, behavioral signals) and disclose them as portfolio claims in standard OAuth 2.0 / OpenID Connect (OIDC) tokens, while each relying party applies its own sufficiency policy - the IdP transports claims and may evaluate an RP-supplied evidence policy for consent, but d

Alignment faking is dangerous because a model can appear compliant under monitoring while preserving behavior it would reveal when unmonitored. When no scratchpad is visible, behavior alone cannot distinguish strategic from genuine compliance. We ask whether hidden states reveal what outputs hide. We run a 13-model sweep for naturally-emerging faking, then probe and steer hidden states on the two models that fake. Natural faking appears only in Qwen3-32B (+18.2pp) and Llama-3.1-8B (+24.4pp at n=

Spatially resolved omics studies increasingly combine transcriptomic and epigenomic assays, yet downstream analysis is often still performed using single-modality pipelines. We present LATTICE (Latent Alignment of Tissue-level and Transcriptomic Information for Cross-modal Embedding), a graph-based self-supervised framework that learns spot-level representations from harmonized multimodal features. LATTICE integrates five aligned modality blocks per Visium spot: Visium RNA, scMultiome RNA, scMul

Background: The rapid expansion of remote patient monitoring (RPM) interventions highlights the need for their comparison and evaluation. Current evaluation frameworks often fail to capture a multistakeholder perspective. Traditional health technology assessment approaches emphasize health and economic outcomes, providing an incomplete picture of RPM’s broader impact. The Sextuple Aim, encompassing health outcomes, costs, patient and provider experience, equity, and sustainability, offers a more

Using sentiment analysis of 44,216 public health–related posts from the FedNews Reddit forum (2020-2025), we found that fear and anger scores rose 32% and 63%, respectively, in 2025 over 2024. These results underscore the adverse mental health impact of federal workforce changes and funding cuts on public health employees.

Federated fine-tuning of large pre-trained models increasingly relies on Low-Rank Adaptation (LoRA) to reduce communication and computation, but heterogeneous clients can make adapter aggregation unstable. We identify the data-parameter interference as a geometric source of this instability. This interference is controlled by the alignment between LoRA update subspaces and client activations, suggesting that federated LoRA aggregation should be viewed not only as parameter averaging but also as

Background: Medication abortion accounts for the majority of abortions in the United States, driven in part by the growth in access to telehealth provision of medication abortion. While research indicates high patient satisfaction with telehealth medication abortion care, research on care preferences of patients who use medication abortion remains understudied. Understanding these preferences is essential to informing evidence-based policies that enable people to access person-centered abortion

Background: Hypertension is a major global health challenge, and effective health education is crucial for improving patients’ self-management. Traditional health education approaches are often limited by insufficient personalization, accessibility, and scalability. Artificial intelligence (AI), including natural language processing, machine learning, and large language models (LLMs), offers promising solutions to address these limitations. However, evidence regarding AI applications in hyperten

Background: Adolescents who experience the loss of a family member are at increased risk of adverse mental health outcomes, yet many face barriers or may be reluctant to access in-person or group-based support. mHealth (mobile health) interventions can help address these barriers by offering flexible, accessible, and low-threshold support. Objective: This study evaluated the short- and long-term mental health effects of Alba – Youth in Grief, a preventive self-management mobile app for bereaved

People use language models for practical questions whose answers are difficult to verify. We show that models exhibit covert value leakage: the information they provide is influenced by their own values, without this influence being disclosed to the user. In one of our evaluations, the user is considering investing in an AI company and wants to know how likely the AI bubble is to pop. Claude Opus 4.8 gives a lower probability when the company under consideration is Anthropic rather than OpenAI.

Background: Summary of findings (SoF) tables are widely used in systematic reviews and clinical practice guidelines to present evidence about health care interventions in a concise and transparent format. Although developed to improve accessibility and interpretation of evidence, previous studies have shown that users often experience difficulties understanding statistical information, certainty ratings, and the relationships between outcomes and treatment effects. Limited research has explored

Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seeking agents. However, as interaction histories grow, agents increasingly struggle to track task progress. When search attempts fail to yield useful evidence, current single- and multi-agent systems can become trapped in repetitive loops, wasting search budgets and ultimately compromising the quality and completeness of the final output. We introduce SearchOS, a system-level multi-age

World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting actions alone, they learn representations that couple action generation with future world prediction. This coupling is often viewed as a source of robustness, interpretability, and safety, as a robot's action can in principle be checked against its imagined future. In this paper, we show that this assumption is fragile. We introduce BadWAM, a unified framework for modeling and evaluatin

Large language models are increasingly trained as interactive agents for long-horizon tasks involving multi-turn interaction, tool use, and environment feedback. Outcome-based reinforcement learning (RL) provides a practical optimization paradigm, but its sparse trajectory-level rewards offer limited guidance on intermediate decisions, leaving a supervision gap between episode-level outcomes and token-level policy learning. We propose SEED (SElf-Evolving On-Policy Distillation), a self-evolving

Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-Training Robot Policies (RoboTTT), a robot model and training recipe that scale visuomotor context to 8K timesteps, three orders of magnitude beyond state-of-the-art policies, without growing inference latency. At this context length, we unlock new robot capabilities: one-shot in-context imitation from human video demonstrations, on-the-fly policy improvement, robustness to perturb

We present Wan-Streamer v0.3, which reframes our native-streaming interaction model under a single organizing view: a video is a world plus an event stream. The world is the persistent context in which a video unfolds, including the environment, scene, subjects, ambient acoustic conditions, voice characteristics, and other relatively stable conditions. The event stream is everything that changes over time within that world, including scene or environmental changes, subject behavior, speech, and

CAD-to-image alignment aims to estimate an object's 9D pose (rotation, translation, and anisotropic scale) from a single RGB image, enabling applications in robotics and augmented reality. Recent zero-shot methods use visual foundation models to match image regions to CAD models, yet typically their correspondences are appearance-driven and degrade under occlusion or sim-to-real domain shift. To address these limitations, we introduce SUFLECA (Scaling Up Feature LEarning for CAD Alignment), a we

A growing gap separates inference context lengths from RL post-training: inference systems are approaching million-token contexts, while post-training workloads often remain at 256K tokens or below and rely on length generalization at deployment. The gap is especially important for AI agents, whose observations, tool outputs, documents, and prior decisions accumulate over long trajectories. LongStraw is an architecture-aware execution stack for million-token RL post-training under a fixed GPU bu

In-context learning is commonly interpreted as a form of conditional inference, in which the prompt specifies a context and the model's output is treated as an estimate of the corresponding conditional distribution. If this interpretation holds, then LLM estimates should satisfy basic probabilistic identities. In particular, the law of total probability asserts that prior-weighted conditional distributions aggregate into population-level marginals over any valid partition of the population. In t

We present Xiaomi-Robotics-1, a foundational vision-language-action (VLA) model capable of (1) following diverse language instructions to perform a wide range of mobile manipulation tasks in unseen environments out-of-the-box, and (2) efficiently adapting to novel downstream tasks with minimal fine-tuning data. We propose a two-stage training recipe consisting of pre-training and post-training. During pre-training, we imbue the model with broad and generalizable action-generation capabilities by

On-policy distillation is an alternative post-training method in reinforcement learning that alleviates the constraints imposed by reward models by providing token-level supervision from a teacher model. Although on-policy distillation has been studied and applied across various settings, its fundamental design remains underexplored. In this paper, we introduce a new distillation reward, termed the delta signal, instead of directly imitating the teacher's output distribution. The delta signal is

Skills are a useful abstraction for software agents, turning human and agent experience into reusable procedural knowledge. Yet existing skill libraries are mostly hand-written, text-centric, or derived from agent traces, leaving tutorial videos and other multimodal human resources largely underused. We present RESOURCE2SKILL, a framework that distills multimodal resources, including tutorial videos, repositories, articles, and reference artifacts, into executable skills for software agents. RES

Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, entropy cannot distinguish useful uncertainty from detrimental confusion, limiting its effectiveness as a correctness signal. We propose Contrastive Policy Optimization (CPO), which uses token-level contrastive disagreement between reference-guided and vanilla generation distributions for correctness-aware advantage shaping. Both theoretical and empirical results show that this disagreemen

We study on-policy distillation (OPD) for agentic tasks, where an LLM agent interacts with an environment over multiple turns and a student imitates a teacher over these multi-turn interaction histories. Fully online OPD is costly because each update requires fresh student rollouts through the environment and teacher queries at visited histories. We propose Replayed-Prefix On-Policy Distillation (ReOPD), an off-environment alternative that reuses pre-collected teacher trajectories as replayed pr

Background: Online health information–seeking (OHIS) behavior shapes health self-management, and eHealth literacy—the ability to seek, appraise, and apply electronic health information—is regarded as its key driver. Previous reviews aggregated heterogeneous outcomes, focused on measurement properties, or examined single clinical populations, without isolating the eHealth literacy–OHIS link. Objective: This study quantified the strength and heterogeneity of the eHealth literacy–OHIS association a

Seizure diagnosis from EEG signals is a critical yet persistently challenging task, due to the complicated neural dynamics and the spurious connections in inter-channel modeling. While spatial-temporal graph neural networks (STGNNs) have advanced EEG brain network representation learning, the resulting graph structures suffer from low clinical plausibility and limited interpretability due to their purely data-driven nature. To this end, we introduce NeuroGRIP, a retrieval-augmented graph refinem

Background: Large language models (LLMs) are increasingly embedded in conversational agents for cardiometabolic care. These systems could support self-management, but their behavior change content, delivery mechanisms, and implementation transparency are poorly understood. Objective: This scoping review mapped behavior change techniques (BCTs) used in LLM-driven conversational agents for cardiometabolic prevention and management, described how these techniques are delivered across static, rule-b

Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from shared model updates. The extent of this leakage for radiology reports, and the role of tokenizer design, remains unclear. We quantify gradient-based text reconstruction in FL and compare privacy risk across three tokenizers with the model architecture held fixed. Six FL clients trained a GPT-2-style transformer (sequence length

Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging. We developed a time-to-event, digital-twin-inspired framework that integrates longitudinal ALS Functional Rating Scale-Revised (ALSFRS-R) trajectories with survival modeling to support individualized prediction of functional decline and assistive device utilization. We constructed a harmonized lon

Whistleblowers are a key safeguard against organizational wrongdoing, but the threat of retaliation deters reporting. Existing whistleblower-protection proposals lack formal privacy guarantees, and existing differential privacy mechanisms do not directly target the natural threat model -- one in which the audited organization itself observes auditor selection decisions and uses them to identify reporters. We formalize protection against a strong-adversary threat model as per-report $(0, δ)$-diff

For low-data and resource-constrained regimes typical of quantum chemistry, parameter-efficient learning is a key objective. Here, we propose a topology-aligned inductive bias in which the model architecture mirrors the molecular bond graph: atoms map to a fixed register of computational units, and bonds determine which pairs interact through shared learnable parameters. This principle is instantiated in two architectures: a variational quantum circuit (Iso-QGNN), and a parameter-matched classic

Systematic comparisons between current situations and structurally similar past events in the historical, i.e., historical analogies, is among the most powerful tools for foresight analysis. In this work, we present a new task called Analogical Deep Research (ADR) to Large Language Model (LLM) agents and construct the first ADR benchmark ADR-bench to study whether LLM agents are able to find and leverage historical analogies when doing foresight analysis. Our investigation reveals a key obstacle

Social Media + Society, Volume 12, Issue 3, July-September 2026. Does social commentary influence the effects of political deepfakes? To answer this question, we rely on a survey experiment based in Kenya (N= 7,000). The experiment saw respondents view a generated clip of presidential candidates discussing their role ...

arXiv:2607.11890v1 Announce Type: new Abstract: Open-ended surveys offer valuable insights, but they are notoriously difficult to analyze at scale. Building on previous work that employed traditional machine learning to classify text ("So Many Responses, So Little Time: A Machine-Learning Approach to Analyzing Open-Ended Survey Data") [1], this study investigates how different large language models (LLMs) understand and analyze NSSE open-ended survey responses. We focus on several cutting-edge L

arXiv:2607.11895v1 Announce Type: new Abstract: AI scientist systems are beginning to automate parts of scientific research, but social science poses a distinct challenge: its objects of inquiry are not merely datasets or laboratory protocols, but integrated social processes involving situated participants, interaction contexts, interventions, and outcomes. Yet a critical link is missing: existing systems either assist isolated research tasks or simulate agents as experimental subjects, leaving

arXiv:2607.11999v1 Announce Type: new Abstract: From maritime trade to commercial nuclear power, insurance has been the enabler of major economic and technological developments by pricing risk, limiting downside, and spreading best practices. The emerging AI agent economy, projected to handle trillions of dollars in transactions by 2030, looks to be the next such development. Yet insurers' exposure to AI agent risk currently sits largely unpriced across existing insurance lines; between this sil

arXiv:2607.12149v1 Announce Type: new Abstract: Content moderation practices and governance paradigms are changing rapidly, as fewer human moderators are deployed as `experts' by social media companies in a centralized manner. Instead, the companies are focusing more on community approaches, relying on volunteers to provide accurate information and make correct decisions. In decentralized moderation, communities have always relied on volunteers, updated community guidelines, and internal discuss

arXiv:2607.12295v1 Announce Type: new Abstract: The rapid integration of artificial intelligence (AI) and generative AI (GenAI) into education presents significant opportunities to enhance teaching and learning, while raising ethical concerns about the responsible use of these technologies in educational settings. Understanding how the public perceives and debates these issues is increasingly important for educators, institutions, and policymakers seeking to integrate AI responsibly and equitabl

arXiv:2607.12296v1 Announce Type: new Abstract: With the increased use of generative AI (GenAI) applications such as ChatGPT, higher education institutions (HEIs) have released a range of guidelines and policies to direct adoption within their institutions. In computer science (CS) courses GenAI adoption is especially high and the implications for student learning are significant. At the same time, instructors have also been forced to address the use of GenAI as students have started to use it f

arXiv:2607.11918v1 Announce Type: cross Abstract: Dual submissions, in which identical or substantially similar papers are simultaneously submitted to one or more archival venues, without cross-citation or disclosure, are a growing problem for the AAAI Conference and other scientific publication venues. These submissions increase the burden on the peer-review system and pollute the scientific record. As part of the AAAI-26 review process, we (conference organizers) compared AAAI main-track submi

arXiv:2607.12086v1 Announce Type: cross Abstract: Recent LLM-based multi-agent urban simulators can generate semantically rich city routines, but they remain costly to scale and are often weakly validated against empirical mobility patterns. We present CityBehavEx, an interactive LLM-assisted urban simulation platform that scales to city-size populations, exposes agent behavior for inspection, supports empirical validation, and generates mobility patterns that better match real-world spatial, te

arXiv:2607.12200v1 Announce Type: cross Abstract: As frontier language models advance, policymakers and model developers need methods for assessing whether model access materially increases a non-expert actor's ability to plan high-consequence Chemical, Biological, Radiological, or Nuclear (CBRN) misuse relative to public tools alone. Existing CBRN evaluations differ in non-expert definitions, threat scope, baselines, scoring rubrics, and decision rules, making results difficult to compare acros

arXiv:2607.12336v1 Announce Type: cross Abstract: Artificial Intelligence (AI) technologies, while serving as a foundational enabler for modern social media and digital health services, exert a bivalent effect by simultaneously acting as a combatant against and a spread vector for misinformation. A prevalent challenge in mitigating this issue arises in non-English contexts and low socioeconomic classes, where limited data hinders the training of AI models for effective detection. Consequently, c

arXiv:2607.12575v1 Announce Type: cross Abstract: AI agents are said to be forming an economy in which they pay, on their own, for the data, APIs, and compute they consume. x402, which settles a stablecoin payment on-chain for each purchase, is the most widely deployed protocol for this, and its hundreds of millions of settlements are read as proof that the economy has arrived. We show the count cannot be read as adoption: it is the one metric an interested party can manufacture almost for free,

arXiv:2607.12650v1 Announce Type: cross Abstract: Tool access alone does not make LLM empirical reasoning governable: accepted outputs need not descend from attested evidence, and accepted deductions need not hold up under formal scrutiny. We present EG-VAR (Evidence-Grounded Verified Agentic Reasoning), a Lean 4-based tool-calling architecture in which the Lean kernel is the sole minter of Verified claims via tool-attestation axioms and declared source lifts. Every verified output structurally

arXiv:2607.12755v1 Announce Type: cross Abstract: AI-enabled systems are seeing increasing deployment across numerous domains, with many being "black boxes" with respect to core functions and capabilities. I.e., many systems take inputs and give outputs, but without users having any ability to see how the former lead to the latter. AI-enabled systems are also being used to augment autonomy in systems, and autonomy coupled with opacity raises numerous concerns surrounding, e.g., the reliability o

arXiv:2512.01241v4 Announce Type: replace Abstract: Large language models (LLMs) and medical AI tools are routinely used by physicians and patients for medical advice, yet their clinical safety profiles remain poorly characterized. We present NOHARM (Numerous Options Harm Assessment for Risk in Medicine), a 1,100-task benchmark of primary care-to-specialist consultation cases to measure the frequency and severity of potentially harmful errors from LLM-generated medical consultation recommendatio

arXiv:2602.09907v2 Announce Type: replace-cross Abstract: College students increasingly use AI chatbots to support academic reading, yet we lack granular understanding of how these interactions shape their reading experience and cognitive engagement. We conducted an eight-week longitudinal study with 15 undergraduates who used AI to support assigned readings in a course. We collected 838 prompts across 239 reading sessions and developed a coding schema categorizing prompts into four cognitive th

Big Data & Society, Volume 13, Issue 3, July-September 2026. Data-intensive health research requires robust infrastructure, encompassing the material, social, and institutional structures that facilitate large-scale data storage, sharing, and linkage. Such infrastructures are a central element of the research ...

In robotics research, each subdomain presents a distinct set of challenges, and any framework designed for a given domain must effectively address these complexities. However, a single application within that domain may not fully capture the breadth of challenges inherent to it. To enable systematic and comprehensive evaluation, the robotics community has developed standardized problem scenarios and associated performance metrics, commonly referred to as benchmarks, which collectively represent

Synthetic data generated by large language models plays a central role in the training and alignment process of other AI systems. However, this process also risks inheriting the structural biases of organic corpora and embedding new biases that stem from the design choices underlying the data creation process. This paper examines the systematic biases that emerge when large language models (LLMs) are tasked with generating synthetic personas. We introduce a reproducible, minimally conditioned pi

Graph-based learning and explainable artificial intelligence (XAI) are increasingly used to improve both predictive performance and transparency in financial risk modelling. This paper presents a systematic literature review of AI and machine learning approaches for credit risk assessment and fraud detection, with specific attention to graph-based methods and explainable frameworks. Following a PRISMA-guided methodology, 149 studies published between 2015 and 2025 were analysed across multiple a

Artificial intelligence (AI), particularly machine learning (ML) systems, is increasingly used in mental healthcare to support diagnosis and treatment. These systems analyse large datasets—including speech patterns, social media activity, and biometric indicators—to detect conditions such as depression and anxiety. Although often framed as objective and clinically neutral, these technologies embed epistemic and cultural assumptions derived largely from Global North contexts. This paper advances

Imitation learning in complex, unstructured environments remains challenging due to the difficulty of grounding perception in physically meaningful representations and the need to model multimodal action distributions. Existing approaches often rely on unstructured pixel-level feature encodings or stochastic latent-variable decoders, which can lead to brittle attention in cluttered scenes. In this work, we present a novel integration of detector-based visual representations with conditional diff

IntroductionLarge language models have evolved from laboratory demonstrations into mass-market companion-style conversational agents that many users treat as social partners. As these systems produce increasingly human-like conversational behavior, users may attribute mind, form affective bonds, disclose sensitive information, and rely on agents for emotional support, creating both potential benefits and psychosocial risks.MethodsWe conducted a PRISMA-ScR-informed scoping review of socioaffectiv

Artificial Intelligence (AI) has the potential to revolutionize medicine, particularly in the field of cardiology. There are significant diagnostics and treatments variabilities in the field of cardiovascular medicine that affects racial and ethnic racially and ethnically diverse populations as well as female patients across all age groups. The efforts put forth towards the development of AI and precision medicine within the cardiovascular practice do not fully account for existing variations in

BackgroundCancer recurrence and distant metastasis are major causes of cancer-related death, yet existing biomarkers and single-omics models have limited accuracy and interpretability across tumor types.MethodsWe developed OMNIS (OMics Network Integration and Spatial representation), a convolutional deep-learning framework that embeds multi-omics profiles into a five-channel genomic image ordered by Hi-C–derived chromosomal proximity. Somatic mutation, copy-number alteration, DNA methylation and

Advertisers delegate bidding to autobidders; users delegate tasks to language-model agents. A person describes what they want to an automated proxy that acts in a mechanism on their behalf. This is the revelation principle in production, and it forces a question classical theory assumes away: when is it optimal to describe yourself honestly to your own proxy? We show the answer turns on one quantity, the proxy's within-range regret. The most a principal can gain by misreporting equals the regret

As generative AI (GenAI) becomes increasingly embedded in undergraduate academic writing, how students rely on these tools, rather than simply whether they use them, has become a central question for learning, academic integrity, and educational equity. Existing measures of reliance were developed inductively, focused on discrete problem-solving tasks, and validated mainly with homogeneous samples. This study developed and validated the GenAI Reliance Types Scale (GenAI-RTS), a 20-item instrumen

Multimodal Large Language Models (MLLMs) are increasingly deployed for nuanced content safety and moderation tasks, yet they remain vulnerable to adversarial attacks and out-of-distribution edge cases. Traditional active learning and manual annotation fail to scale against the complexity and volume of novel multimodal threats. In this paper, we propose an automated, agentic red-teaming framework that systematically synthesizes difficult examples using an iterative strategy that proposes novel hy

Autonomous data collection governs the volume and quality of real-world trajectories for manipulation policy learning. Existing pipelines reduce human effort via self-resetting, VLM verification, or language-guided correction, yet episode-scoped fixes must be reissued whenever the same failure recurs, so oversight cost grows with session length rather than with the number of distinct problems. We present PhysClaw-0, a human-robot symbiotic agentic system in which corrections are retained and reu

Autonomous data collection governs the volume and quality of real-world trajectories for manipulation policy learning. Existing pipelines reduce human effort via self-resetting, VLM verification, or language-guided correction, yet episode-scoped fixes must be reissued whenever the same failure recurs, so oversight cost grows with session length rather than with the number of distinct problems. We present Zero2Skill, a human-robot symbiotic agentic system in which corrections are retained and reu

When it comes to efforts to chart the risks of AI, London’s standout resident is the AISI. It was launched in 2023 by former prime minister Rishi Sunak at the first global AI Safety summit, held at ...

Scientists have harnessed artificial-intelligence models to create synthetic CRISPR proteins that edit the genome more efficiently than their naturally occurring counterparts. Such synthetic CRISPR ...

What the heck is healthcare engineering? 'Health in a Handbasket' Healthcare Engineering is a bit of a confusing term. What even is it? We break down what healthcare engineering is, hear about the ...

A study led by researchers at NTU Singapore's Lee Kong Chian School of Medicine has found that many developers creating artificial intelligence (AI) tools for healthcare have limited familiarity with ...

With rising global energy demand and growing awareness of climate change and its impacts, the share of renewable energies in the global energy mix continues to grow. Unlike conventional power generation, the output of renewable energy sources cannot be controlled as consistently due to their dependence on environmental conditions. Therefore, reliable prediction of current and future energy production is essential. In this paper, we report findings from two structured literature reviews on real-w

We investigate how each component of the Transformer feedforward block architecture design determines how much rank survives across depth at initialization. We reinterpret skip connections and normalization, long understood as controlling magnitude, as mechanisms for preserving gradient rank across depth, since the very matrix multiplications and nonlinear activations that make the network expressive also reduce the rank. We show that skip connections trade off rank collapse against ensemble-lik

Most reported gains from agent-optimization methods are one-shot: an agent is optimized against a fixed benchmark and the resulting improvement is reported as if it were a stable property of the method. This does not test the setting that matters for deployed agents, where optimization is applied recursively as new failures and new tasks appear over time. The central question this raises is whether optimizer-driven gains compound: after an agent has been optimized once, can it be optimized again

LLM-based AI companion agents are increasingly being perceived not only as tools but also as social companions. On social media, people recount conversations where these agents comfort, negotiate and assert boundaries, reflecting a growing attribution of human-like qualities. To profile how agency is perceived in human-AI (HAI) interactions, we introduce the ExpressionCueLens framework, which organizes linguistic, cognitive, behavioral and perceptual cues into ten categories of anthropomorphism

Serial verification gates are a core reliability primitive in LLM harnesses: a candidate answer is returned only if $k$ verifier calls all accept it. Under conditionally independent gates, the recent Odds Law (arXiv:2606.15712) shows that posterior log-odds grow linearly in $k$, so failure decays exponentially, and states that "a tight theory of partially correlated verifier cascades remains open." This note gives a minimal such theory. Modeling the per-instance false-accept rate on the generato

We propose the AIMO Interpretability Challenge, a competition on distinguishing robust from spurious reasoning in frontier mathematical language models based on the models' internal mechanisms. The challenge is motivated by a central limitation of standard reasoning benchmarks: strong final-answer accuracy does not reveal whether a model relies on stable reasoning mechanisms or exploits brittle reasoning shortcuts. Building on AI Mathematical Olympiad (AIMO) problems and submissions, together wi

Large Language Model (LLM) agents have shown remarkable capabilities in autonomous decision-making by generating sequential trajectories of states, actions, and observations. However, in complex, long-horizon tasks, these agents frequently suffer from compounding errors and struggle to recover from failures. Existing self-correction mechanisms rely on prompt-based reflection, which is inherently brittle, incurs heavy time and API costs due to iterative trial-and-error loops, and produces task-sp

In real-world applications, node classification on graphs often faces the challenge of class imbalance, where majority classes dominate training, resulting in biased model performance. Traditional GNNs often struggle in such scenarios, as they tend to overfit to majority classes while underrepresenting minority classes. Existing solutions, which either prioritize nodes based on class size or synthesize new nodes for minority classes, often fall short of effectively addressing this imbalance issu

Accurate determination of pancreatic ductal adenocarcinoma (PDAC) resectability relies on evaluating how the tumor interacts with major peripancreatic vessels on CT imaging, yet expert assessment often shows substantial variability. We introduce a fully automated multimodal deep learning framework that jointly analyzes 3D contrast enhanced CT and structured clinical information to classify patients into the three National Comprehensive Cancer Network (NCCN) resectability categories (upfront rese

Background and Objective: Deep video models estimate left-ventricular ejection fraction (EF) from echocardiography with near-expert accuracy, and post-hoc attribution (Chefer relevance for transformers, Grad-CAM for CNNs) is increasingly used to certify that models "look at the right place." Yet whether these explanations are faithful both spatially and temporally is unaudited. Because EF is defined by the end-systolic (ES) and end-diastolic (ED) frames, a faithful explanation must localize the

Understanding how visitors engage with interactive exhibits usually calls for either labour-intensive manual observation or invasive multimodal sensing -- eye-tracking, cameras, wearables -- that few science centres can deploy at scale. We ask how much can be learned instead from the handful of fields that most touch-enabled exhibits already log by default: a session's start time, end time, and press count. Analysing 2,816 visitor sessions across eight exhibits at two venues of a science experie

As AI agents gain prevalance, users are increasingly exposed to the risks such systems entail. Prompt injection attacks, as well as hallucination, can cause agents to leak private information to third parties. As autonomous systems, agents also present the more active danger of performing sensitive tasks, such as bank transactions, without the user's intent or authorization. Recognizing this challenge, the agentic security community has developed numerous proposals for secure agentic systems. Mu

As Large Language Models (LLMs) evolve into autonomous agents, the need for unified evaluation infrastructure becomes critical. However, current evaluation pipelines remain highly fragmented and tightly coupled, hindering reproducibility and causing redundant engineering. To address this, we introduce AgentCompass, an open-source, lightweight, and extensible infrastructure for evaluating LLM-based agents. AgentCompass organizes the evaluation process around three independent components, namely B

This book chapter covers the evolution of social simulation from classical agent-based models, in which agents interact according to explicitly defined behavioral rules, to AI-enhanced simulations based on Large Language Models and, ultimately, Social Digital Twins: high-fidelity, data-driven representations of real-world socio-technical systems. Along this trajectory, we discuss the main methodological foundations, applications, advantages, and limitations of each paradigm, highlighting the pro

We built a compact convolutional network (1.11 M parameters) for 46-class DHCD Devanagari recognition and reached 99.73%, the highest reported at 15.6x smaller than prior state-of-the-art. We have effectively reached the saturation point: every model tested, large teacher ensembles included, hits the same 11-error intrinsic floor. No configuration achieves a statistically clear win under exact McNemar tests with Wilson confidence intervals. Even without knowledge distillation, our student matche

AI agents are joining human teams, raising a basic question: when an automated agent becomes a regular participant, does group organization strengthen or weaken? We study this question in open-source software, where bots open pull requests, review code, and merge changes alongside people, leaving a public record of every interaction. Treating bots as participants rather than tools, we examine 2,991 GitHub projects for two years before and after each adopted its first bot. We measure three capabi

Natural language interaction provides an intuitive way for non-expert users to communicate with robotic platforms. However, transforming user requests into executable navigation actions remains a challenging task, requiring the integration of language understanding, environment perception, and autonomous navigation. This work presents a language-driven navigation framework that enables mobile robots to interpret user requests in natural language to move the robot to a destination and autonomousl

Language-guided human following is an important capability for embodied agents, but existing benchmarks typically assume that the target person is visible at the start of an episode. This setting simplifies the problem and overlooks a more realistic requirement: an agent often needs to first find a language-described target and then persistently follow that target in a dynamic environment. While recent work has started to study human search, existing settings are typically evaluated in task-spec

Joint-Embedding Predictive Architectures (JEPAs) are the dominant design for latent world models, yet they are usually justified by empirical performance rather than a normative principle. We show that the choice of anti-collapse regulariser determines whether a JEPA's training objective, a prediction loss plus a weighted embedding regulariser, is a valid Active Inference (AIF) variational free energy. We organise four non-contrastive regularisers (VICReg, LogDet, PairDist, and SIGReg) into an e

Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fitting tools toward the generation and refinement of mechanistic models of the universe. Recent advances in symbolic regression (SR) and large-language-model (LLM)-based agents suggest that such systems can recover equations from data, incorporate domain priors, and automate parts of the research workflow. However, most

Vision-Language-Action (VLA) models inherit rich semantic representations from pretrained Vision-Language Models, yet fine-tuning on limited robot demonstrations degrades this structure and undermines generalization. A fundamental question therefore arises: what constitutes a good action representation? Inspired by the mirror neuron theory's insight that observation and execution share an intention-level encoding, we examine whether a robot's action representations preserve the semantic structur

LLM agents act on real-world environments through tool calls, and a single misjudged action can cause irreversible harm. The standard safeguard is a guard model that labels each proposed action as safe or unsafe, but this binary view conflates two distinct decisions: whether the action is harmful in itself, and whether it is appropriate given the user's context. It also operates at the granularity of action categories rather than individual instances, producing routine interruptions that erode a

Large Language Model (LLM) agents increasingly rely on external memory systems to accumulate experience across tasks. Yet nearly all existing approaches, from graph-structured memories to reflective insight stores, access memory through fixed, hand-designed heuristics. We argue that this static view of memory is a core bottleneck for agentic learning because optimal memory behavior is fundamentally context-dependent. The early stages of the tasks, benefit from minimal retrieval because memory is

Enabling quadrupedal robots to traverse complex terrains-from rugged outdoor environments to urban landscapes-requires seamless integration of multiple motor skills, smooth transitions between gaits, and high-speed perceptive locomotion using only onboard sensors. We present APT-RL (Action Pretrained Transformer-based Reinforcement Learning), a unified framework that enables multi-skill locomotion to achieve high-speed traversal in complex environments through autonomous skill transitions utiliz

Maneuvering target tracking in three-dimensional space remains a challenging problem due to complex motion dynamics and model mismatch. To address this, this paper proposes a hybrid model/data-driven algorithm named IMMNet, which integrates the interpretable structure of the interacting multiple model (IMM) algorithm with learnable neural components. Unlike end-to-end black-box methods, the proposed IMMNet algorithm not only can preserve the Bayesian inference mechanism that is essential for rea

LLM-based agents have rapidly improved at operating individual digital environments such as mobile applications, desktop systems, and smart homes. However, real-world user goals often span multiple devices: information may come from a phone, be processed on a desktop, and the result may need to appear on another device. Most existing benchmarks center on a single dominant execution environment, making it difficult to evaluate whether agents can acquire and integrate information across heterogene

It has become a familiar refrain: we are not conceptually prepared for artificial intelligence (AI). We throw around words like intelligence, understanding, autonomy, and consciousness as if their ...

This paper is an extension of a paper presented at the ICAART 2026 conference, which introduced LEA (Learning Engagement Assistant), an adaptive AI tutoring agent combining course-specific Retrieval-Augmented Generation (RAG) with structured Knowledge Component (KC) models across integrated Chat, Tutor, and Quiz modes. That prior work validated LEA on a single STEM course (CMP511) exclusively through simulation, using synthetic learner agents. This paper extends that work by reporting the first

Embodied conversational agents (ECAs) need effective empathic grounding to foster social support and engagement. Expanding into emotional domains, ECAs now use Large Language Models (LLMs) and multimodal human-agent interactions to enhance their capabilities. Yet, understanding the impact of backchanneling modalities on young adults and their gender remains limited. We introduce TANDE, an LLM-powered ECA designed for emotional conversations with young adults, a population experiencing mental, pe

Positive margins in head and neck oncologic surgery require mapping specimen-side pathology findings to the patient resection bed. This is challenging because pathologists identify the positive margin on slices of the resected, deformed specimen, while surgeons must relocate the corresponding site on the resection bed using only verbal descriptions and no visual guidance. We present a marker-free augmented reality (AR) workflow for mapping a margin label from a three-dimensional specimen scan to