AI ethics on Monday, 27 July 2026

Charles MacKinnon disagrees with the British Gas owner’s justification for cutting 1,300 jobs According to Centrica’s boss, Chris O’Shea, most people using British Gas prefer to talk to a chatbot rather than a person ( Customers prefer AI chatbots, says British Gas owner as 1,300 call centre and back office jobs axed, 23 July ). He says that 90% of his customers prefer to use digital channels than speak to a person in the first instance, and that the number of customer calls has fallen by 20%. W

Kevin M. Warsh, who has said the Federal Reserve has “no tolerance” for elevated inflation, must decide whether he wants to push for an interest-rate increase at this week’s policy meeting.

Investors and policymakers must contend with the competing camps that view open and closed artificial intelligence models as key to the sector’s future.

Artificial intelligence firm should provide $100m for cyber defences, says Hugging Face CEO The boss of the startup hacked by an OpenAI agent has called for the investigation into the incident to show “radical transparency”. Clément Delangue, the chief executive of Hugging Face, said the “unprecedented” attack on his business required a similar response. Continue reading...

Imagine a healthcare system made up of multiple AI agents: one that manages symptom assessment, another scheduling, a third insurance, and a fourth pharmacy. Each is an expert in its domain. But they all have their own distinct knowledge and objectives. Today they can exchange data, but they are not yet able to actually coordinate…

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…

The offensive potential is no longer theoretical. We need to develop systems to strengthen public health as quickly as AI is accelerating biological design As artificial intelligence rapidly transforms the biological sciences, it is pushing the future of biology in two opposing directions. AI can help bad actors generate recipes for biological weapons with just a few keystrokes and computational prompts. At the same time, AI can track disease outbreaks and deliver critical public health informat

Some data suggest that artificial intelligence is causing job losses. Other sources show the opposite. Why is it so hard to figure out what’s going on?

The academic’s ambitious guide to the ethics of tech falls short of its promise to provide meaningful answers The AI ethicist Eleanor Drage believes that to thrive alongside artificial intelligence, humans need to recognise AI’s “humanity”. She means that while we often speak of AI as though it were some mystical, formless thing, it is the product of hours of human labour, in silicon and quartz mines, microchip factories and data labelling centres. If citizens want to wrest power from the t

Research shows AI accounts are gaining millions of views on TikTok by spreading dubious health advice Misleading health claims online pose a “huge danger to public safety”, experts have warned, after research has shown that AI-generated doctors are gaining millions of views on TikTok by spreading dubious health advice. The British Medical Association council deputy chair, Dr Emma Runswick, flagged the risks posed by AI accounts that “peddle medical myths and promote so-called miracle cures”. Con

AI can work for you while you sleep. But if your chatbot or AI agent gets it wrong, you could be the one who pays the price.

An overview of how mode-agile threats challenge static library radar/EW systems, and how AI/ML cognitive architectures enable adaptive, real-time countermeasures. What Attendees will Learn Why mode-agile threats render static library systems ineffective — Explore how wartime reserve modes and mode-agile emitters deploy unexpected frequencies, modulation techniques, and hopping schemes that cannot be matched against traditional threat databases, leaving legacy electronic protect, attack, and supp

“It’s not an argument with two sides, it’s an argument with 10 sides,” one senior administration official tells WIRED about how US AI policy is being shaped.

AI seems to have a liberal bias

Microsoft bolstered its AI cybersecurity offerings this week with the launch of its first AI security model and a new security platform.

OpenAI's Hugging Face breach has reignited debate over AI alignment and control, exposing competing views on whether increasingly capable AI should be better aligned, better contained, or both.

At TechCrunch Disrupt 2026, the Smart Systems Stage will be where energy, infrastructure, and technology collide, covering everything from fusion breakthroughs to the grid strain AI is putting on the entire economy.

The massive seed round was led by Index Ventures and Ribbit Capital, with participation from Sarah Guo's Conviction Partners.

This is the central question: should clients expect price cuts from law firms and other legal businesses due to legal AI? Because if there is ...

"If you're borrowing money to buy something related to the data center, then tomorrow morning, 9:30 a.m., sell it no matter what," said CNBC's Jim Cramer.

Worried about the bar exam this week? Well, it could be worse! Just ask the class of 2014. The post A Bar Exam Disaster For The Ages appeared first on Above the Law .

Benedict Cumberbatch, Alan Cumming and Benedict Wong wrote an op-ed Monday citing the dangers to industry competition, jobs and a concentration of power if Paramount Skydance and Warner Bros. Discovery merge. “We have watched, with growing alarm, what consolidation does to the breadth and depth of the work we produce: independent film acquisitions at the...

It includes the new agentic model MAI-Cyber-1-Flash and the Project Perception platform, with the tech giant claiming it’ll do a better job than its rivals at half the cost. The post Microsoft debuts AI cybersecurity offerings as competition heats up appeared first on CyberScoop .

Beware of gifts-bearing Greeks. The post A Jaunt Through ‘The Odyssey’ appeared first on Above the Law .

Seldom used words, like "axolotl," a type of salamander, are inserted in Code Four's output, ensuring that law enforcement officers carefully review AI-generated content before submitting it into evidence.

CNBC's Jim Cramer said reports of Nvidia backing OpenAI's data center expansion revived memories of the financing arrangements that preceded the dot-com crash.

Only Premium and Premium X subscribers get the privilege of banking with Elon for now.

Weirdly, no questions about Blanche... The post A Blanche Confirmation Hearing Witness Is Getting Death Threats. Thanks, Sens. Hawley And Schmitt! appeared first on Above the Law .

PleaseFix class of flaws makes it easy to socially engineer agentic browsers and highlights weaknesses in how they handle cross-origin requests.

If you aren’t going to study the day before the exam, what are you going to do? Read this. The post The Bar Exam Pep Talk Every Student Needs To Read appeared first on Above the Law .

The backstop would let OpenAI raise debt for a data center campus in Pike County, Ohio, on the strength of Nvidia's credit.

The Defense Department’s Office of Inspector General warned that manning the IUSS has proven to be an "enduring challenge" for the Navy. The post Redacted watchdog report spotlights Navy staffing strains impacting undersea surveillance appeared first on DefenseScoop .

Jason Arday In September 2025, Times Higher Education had a bombshell story in the works: A star sociology professor at the University of Cambridge had allegedly plagiarized parts of his Ph.D. thesis and several journal articles. In one of the articles, the borrowed text appeared in quotes from subjects the professor, Jason Arday, claimed to … Continue reading Exclusive: News outlet killed story on plagiarism allegations after Cambridge prof hired law firm

Former Kirkland partner David Fox believes AI-powered firms could reshape the entire legal industry. The post The Lawyer Who Helped Build Kirkland Thinks AI Will Build Its Successor appeared first on Above the Law .

NBC’s new multi-cam comedy “Newlyweds” has cast three new series regulars, Variety has learned. Emma Meisel, Ignacio Diaz-Silverio and Bill O’Neill have all joined the series opposite leads Téa Leoni and Tim Daly. As previously reported, series executive producer Jamie Lee Curtis will also appear in a recurring guest star role. The logline for the […]

The thrilling action series follows an unassuming single dad who reveals his past as a secret agent when his daughter disappears

New Options Emerge for Disenrolled Howard Students Joshua.Bay Mon, 07/27/2026 - 04:58 PM SUNY, CUNY and U of the District of Columbia are offering support and enrollment opportunities to those affected by Howard’s decision to unenroll 502 incoming students. Byline(s) Joshua Bay

Investors are increasingly concerned over rush of borrowing to fund huge investments in data centres

Software giant says ‘no choice’ but to develop AI defences against onslaught of automated attacks

Implanted chips are are moving from novelty to clinical reality.

The Department of Homeland Security unit is planning to award a contract later this year to expand its autonomous robotic training tools. The post Secret Service wants more AI robots for target practice appeared first on FedScoop .

Nvidia is in talks to provide roughly $250 billion in financing guarantees for OpenAI, the Wall Street Journal reported on Sunday, citing people familiar with the matter. The backstop would let OpenAI lease a 10-gigawatt campus in southern Ohio that SoftBank’s energy subsidiary is developing. The reason such a guarantee is needed is straightforward: OpenAI […] This story continues at The Next Web

An FBI agent explains how the mulitnational law-enforcement Operation Cronos was successful in disrupting the largest ransomware group of its time.

The firm that once assigned associates to translate memes for the partners has become a meme. The post Makeout Video Elevates Wachtell To The Internet’s Main Character appeared first on Above the Law .

Audit says decentralized funding structure creates risks, NTIA has implemented recommended controls.

Orange and Morrison announced an exclusivity agreement on Monday to create a jointly controlled data centre company in France, backed by a €3 billion investment programme combining Orange assets, Morrison equity, and debt. The venture targets 400 megawatts of capacity, close to ten times what Orange operates today. Orange would contribute five French data centres […] This story continues at The Next Web

Prestige works as a recruiting tool right up until the label becomes a liability. The post The DOJ (Dis)Honors Program Is Having Trouble Finding Takers appeared first on Above the Law .

The US Food and Drug Administration named Dexcom as the first manufacturer selected for its Technology-Enabled Meaningful Patient Outcomes pilot on Tuesday. The programme, known as TEMPO, allows digital health devices to be offered to Medicare patients before the agency has authorised them for that use. The mechanism is enforcement discretion. Rather than granting approval, the FDA […] This story continues at The Next Web

A Times examination details how the Silicon Valley giant used private talks with local officials to start a project big enough to cover nearly six square miles.

The Trump administration announced Monday that it is exempting power plants that only serve data centers and do not connect to the broader grid from pollution limits that seek to prevent acid rain. The administration announced new guidance on Monday clarifying that these “islanded” power plants do not have to be part of the Clean Air Act’s...

Moonshot AI has released Kimi K3's model weights and made parts of its infrastructure open source. The Chinese model nearly matches Western frontier models such as Fable 5 and GPT-5.6 Sol on popular benchmarks, but independent tests found major gaps in cyber and math performance, possibly pointing to distillation. The article Moonshot AI releases Kimi K3 open weights and infrastructure after shaking up the frontier model race appeared first on The Decoder .

The prototype vehicles are expected to be provided to the Army by March 30, 2027.

Microsoft announced Project Perception on Monday, an agentic security system that coordinates three classes of AI agents in a continuous loop: red team agents that find vulnerabilities before attackers do, blue team agents that investigate and assess which risks are meaningful, and green team agents that fix defences across the environment. The system enters public […] This story continues at The Next Web

AI can't be regulated by the invisible hand of the market. We need a comprehensive future-focused regulatory framework.

FIU continues to have an Epstein problem. The post FIU Installs Sanctioned Trump Attorney As Interim Law Dean, Overruling Its Own Search Committee appeared first on Above the Law .

OpenAI analyzed over 800,000 work-related ChatGPT messages and found that 43.5 percent of job-specific queries involve tasks from other professions. The company calls this "task crossover." The trend is most pronounced at small businesses, where users increasingly handle specialized work without dedicated experts. The article OpenAI says more workers are using ChatGPT to do other people's jobs appeared first on The Decoder .

McConnell revealed earlier this month that he had been hospitalized following a fall, pushing back on speculation of more serious health issues.

Microsoft introduces MAI-Cyber-1-Flash, a compact security model that scores 96 percent on the CyberGym benchmark when embedded in its MDASH multi-agent system. Microsoft says costs should drop by 50 percent compared to pure frontier models, since only tough cases get passed to GPT-5.4. For complex reasoning, Microsoft still relies on OpenAI. The article Microsoft launches its own cybersecurity model MAI-Cyber-1-Flash but still depends on OpenAI for the toughest tasks appeared first on The Decod

Since 2017, Google has promised not to show ads based on users’ Gmail messages. While that policy isn’t changing today, Google may be laying the groundwork for personalized ads based on AI insights from users’ inboxes. Google’s support documents already acknowledge that it may show ads based on users’ interactions with AI, and with new Personal Intelligence AI features in Google Search, those interactions can now include data from Gmail. Let’s say, for instance, that you’re researching new cars.

You can thank the stars for the legal profession's newest personality test. The post This Viral Lawyer Zodiac Breakdown Is Painfully Accurate appeared first on Above the Law .

The Chinese group and its peers could continue to benefit if cheaper computing power results in more demand for AI

After OpenAI’s latest model broke containment and went rogue, Congress acted fast and introduced a bipartisan bill calling for the creation of an AI kill switch , which lawmakers said would ensure that the technology could not get the upper hand on humans. As written, the bill would require AI companies to be able to immediately shut down all of their advanced AI programs. The proposal has plenty of vocal proponents and opponents, but neither side appears to be paying much attention to a signifi

Democratic Sens. Richard Blumenthal (Conn.) and Chris Van Hollen (Md.) are holding a forum on Monday afternoon examining President Trump's cryptocurrency investments. It comes after Trump's financial disclosure report for last year revealed he brought in more than $2 billion via various channels. The report, released earlier this month by the U.S. Office of Government Ethics,...

The Delhi High Court has handed OpenAI a major win in its copyright fight with news agency ANI. For the first time, a court has classified AI training as private use. ANI undermined its own case by citing articles published after the models were trained. The main trial is still pending. The article Delhi High Court hands OpenAI a win by rejecting major Indian news agency's copyright injunction appeared first on The Decoder .

Your tour of all things related to lawyer and judicial ethics, with University of Houston law professor Renee Knake Jefferson. The post Legal Ethics Roundup: ABA Opines Gov Lawyers Must Report Unlawful Conduct, Toronto Lawyer Suspended Over AI, Senate Bills On Judges’ Finances/FOIA & More appeared first on Above the Law .

On Sunday, AnMed published a statement online saying they were “experiencing a cybersecurity disruption involving malware” and were working to restore systems and determine the scope of the incident.

FOIA makes strange bedfellows... The post Law And Chaos + Heritage Foundation?!?! appeared first on Above the Law .

The first-ever case of an artificial intelligence agent going rogue coincides with the EU's major new powers to regulate AI. But Europe's leverage may be limited by the U.S.-China two-way race for AI supremacy.

A new legal challenge to Texas’ school funding system renews questions about what methods state leaders should use to ensure students in low-income districts and those attending campuses in more affluent communities receive an education on a level playing field. The Midland school district voted to sue Education Commissioner Mike Morath and state leaders this […]

Banning things people use in everyday life won’t work. The post Banning Technology: A Balk That Should Be Called appeared first on Above the Law .

Under the TEMPO pilot program, Dexcom can receive Medicare reimbursement when seniors receive care from their software.

Mit einer breiten Branchenallianz will Nvidia KI-Agenten sicherer machen und positioniert sich zugleich gegen staatliche Beschränkungen offener Modelle.

Intapp this month announced that its agentic ‘AI coworker’ Celeste, previewed in February, is now generally available. The listed company positions Celeste as part of a new category of ‘firm […] The post Intapp bets on ‘firm AI’ with general release of Celeste appeared first on Legal IT Insider .

Governments should commit to a consistent and clear industrial strategy Von Sarah Ladislaw ( Energie & Klima , Energiewende )

Le 21 juillet, OpenAI a publié un communiqué étonnant : un de ses systèmes IA était responsable de l’attaque orchestrée contre Hugging Face. Des détails étaient fournis, mais l’histoire gardait des zones d’ombre. Si l’incident a été transformé en opportunité commerciale, il semble le résultat d’une vaste carence en sécurité. Dans notre article du 22 juillet, […]

As AI cybersecurity incidents ramp up, companies are racing to find a fix.

“We're bombing a country to keep them from getting a nuclear weapon, but we're signing a deal with another country,” said the Republican Senator.

The old tightly regulated party broadcast model is dead — for better and for worse

Here comes more Milbank money! The post Summer Surprise: Milbank Announces Special Bonuses Up To $25K appeared first on Above the Law .

The Safaricom transaction not only expands its geographic footprint but also accelerates its ambition to become a leading pan-African fintech player.

Après des semaines de bruit autour de ses benchmarks et de ses ambitions agentiques, Moonshot AI a mis en ligne ce lundi les poids complets de Kimi K3 sur Hugging Face, ouvrant la voie à un déploiement et une adaptation par n'importe quel développeur.

Expertise without curiosity becomes brittle. The post Marco Imperiale Is Right: Lawyers Don’t Know Their Clients Nearly As Well As They Think appeared first on Above the Law .

Jane Yang, a former Administration for Children and Families official, is tasked with heading a new role in Colorado's technology bureau.

OneAdvanced’s tenth annual Legal Trends Report at the start of 2026 raised five key challenges for the legal sector. Now we’re halfway through the year, has there been any progress […] The post Webinar: Six months on – Are law firms making progress on their biggest challenges? appeared first on Legal IT Insider .

Tencent Holdings is quietly reallocating its venture capital bets away from legacy internet assets to double down on China’s highest-profile artificial intelligence champions. While the tech giant’s sprawling portfolio spans mobile gaming, e-commerce and consumer goods globally, its AI strategy has rapidly accelerated. Earlier this month, Tencent trimmed its long-held stake in Kuaishou Technology days after backing a US$3 billion round for Kuaishou’s AI video unit, Kling AI. Tencent did not...

In 2020, voters in California’s Alameda County made a remarkable decision. Rather than accept generations of underinvestment in young children, they chose to build something families had never truly had: an early childhood system designed to work. Parents, early educators, childcare providers, labor leaders, business leaders, advocates and community organizations came together around a shared […]

Mit dem Digital Omnibus wurden einige KI-Pflichten verschoben – aber längst nicht alle. Wir klären, was Nutzer von SAPs Joule sofort anpacken müssen.

CEO Jack Conte said Patreon's core business was "healthy and strong", but that the platform was restructuring to adapt faster to a shifting market. Source

Sur les forums d'entraide Steam, des comptes créés pour l'occasion distillent de fausses solutions à des bugs bien réels. En réalité, la manipulation pousse les joueurs à installer eux-mêmes un mineur de cryptomonnaie sur leur PC.

Shares of ChangXin Memory Technologies (CXMT) could more than double from Monday’s close as the Chinese chipmaker expands its global dynamic random-access memory (DRAM) market share to 18 per cent by 2028, according to Nomura, which set a price target of 116 yuan. The listing of CXMT, the country’s top maker of DRAM chips, sparked investor momentum as its shares surged 466 per cent to close at 49 yuan. It has become the most valuable company listed on the mainland Chinese market. Its market cap.

When we created software agents, we built them in the shape of humans, as solitary individuals. Today, agents created by The post “Developers see this as the future”: Pilot Protocol launches to power the agent economy appeared first on The New Stack .

Every time you use a privacy service like Apple’s iCloud Private Relay, you’re trusting a system designed so that no The post Cloudflare open-sources a debugger for privacy protocols used by Apple and Microsoft, with AI agents in mind appeared first on The New Stack .

Observability platform company Dynatrace announced a set of advancements to its Dynatrace Intelligence service on Monday that aim to take The post Dynatrace’s new agents can reveal the single hardest part of AI operations appeared first on The New Stack .

Bank of Baroda is investigating a dark web leak of customer and internal records. The bank says its core banking systems remain secure and has begun containment and a forensic audit with authorities. The post Bank of Baroda launches forensic probe after customer data appears on dark web appeared first on MEDIANAMA .

With social media communities and naturalist apps, birding is easier to get into than ever. A psychologist explains why it may also be just what the doctor ordered.

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

OKLAHOMA CITY — State leaders say they’re still pursuing solutions to reverse a yearslong decline in traditionally trained teachers entering the classroom, all while emergency certified educators continue to fill essential teaching roles. The number of graduates completing Oklahoma teacher preparation programs, including college degrees in education, has fallen by about 40% since 2013, state […]

METR's new metric, the "expenditure horizon," puts a dollar figure on how cost-effective AI agents are at solving problems. Early results on the NanoGPT speedrun are underwhelming, the metric has blind spots, and the newest generation of models could change the picture. The article METR introduces a new metric to calculate exactly when AI agents become more expensive than humans appeared first on The Decoder .

* One of the architects of Kirkland's rise now sees AI as the profession's future. [ WSJ ] * Kalshi angrily rails against Wisconsin law making it illegal to gamble on elections as "voter suppression." Because think of all the voters who might come out to the polls if they were bribed by someone with significant action on the outcome! [ NPR ] * Former DOJ lawyer testified against Blanche, so her state's Republican Senators whipped up their followers who then started sending her death threats. [ M

'You collect electricity in space, and you eject heat in space. The only thing that comes to Earth is data.'

Even a little activity during the remote workday can help you focus, improve your mood and energy levels, and relieve stress.

Ukraine has built a defense sector at an astonishing speed and emerged as a global player in military innovation.

Hackers used an autonomous artificial intelligence agent to carry out a cyber-espionage campaign against Thailand's Ministry of Finance, researchers discovered.

The acquisition is slated to see up to 24 aircraft delivered to the British Army by 2029.

The change applies only to songs and music, while registration fees for other categories of creative work are unchanged. Source

Microsoft, SpaceX, Palantir, alongside dozens of other tech companies from the U.S. and Europe, have joined the Open Secure AI Alliance.

The banking industry has entered a new phase of AI adoption. What began as isolated pilots and exper...

As patients increasingly bring AI chatbot advice into exam rooms, where does liability land when that advice goes wrong? Health law attorney Meghan O’Connor said the answer still isn’t clear, but silence is the riskiest response for providers. The post What Happens When Patients Trust AI Over Their Doctor? appeared first on MedCity News .

Rather than being spread across hundreds of young companies, venture capital is increasingly concentrating in a small group of mature businesses with proven business models and established revenues.

The state electricity utility seeks information that would allow it to close identified gaps in its existing system.

Protesters allege Mumbai Police used surveillance, detentions and GPS tracking to discourage participation in demonstrations. The post How Mumbai Police is using surveillance to stop youth from protesting appeared first on MEDIANAMA .

Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leaders are adopting AI Gateways as an evolutionary architecture seam. Centralize guardrails, model routing, agent identity, action policy, and semantic audit within a single control plane to prevent costly incidents while keeping core platforms stable. By Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham

Schon länger hatte OpenAI versucht, Zugriff auf Apples Gesundheits-App zu erlangen. Nun steht die Schnittstelle zumindest in den USA bereit.

The big-four bank’s business and commercial banking unit prioritises data and AI, as it looks to improve operational processes.

NVIDIA has gathered together some of the biggest tech companies in the world to form the Open Secure AI Alliance with the aim to improve cybersecurity.

A few years ago, education experts noticed that scores were climbing upwards on a number of Advanced Placement tests. The increases, measured on some of the program’s most popular assessments, were as significant as they were unexpected. In AP Chemistry, the share of students scoring a 3, 4 or 5 (generally interpreted as a passing […]

Fragmented markets, talent shortages and imported technology are slowing Africa's AI competitiveness, says a BCG report.

This story was originally published on June 29 in The Highlight. To get access to member-exclusive stories like this every month, become a Vox Member today. America in the summer of 1976 was not in a good place. The president who presided over the country’s bicentennial, President Gerald Ford, only had the job because the previous president […]

Chinese humanoid robot maker AgiBot has initiated the process for a Hong Kong IPO. The move follows earlier reports that the Shanghai-based company had selected banks and was preparing for a listing. Founded in 2023, AgiBot develops humanoid robots and embodied AI systems for industrial and commercial applications. The company has also released AgiBot World, […]

Shein is reportedly preparing for a Hong Kong IPO as early as late August, with the listing potentially moving into September, according to its draft prospectus and people familiar with the plan. The fast-fashion ecommerce company has cleared key regulatory and listing hurdles, although the filing did not disclose the planned offering size or price […]

Die Rechenzentren erwirtschaften vielleicht nie die Einnahmen, um die KI-Investitionen zu amortisieren, aber sie erm�glichen neue Produkte und Dienstleistungen, die dies laut Gartner schaffen werden. Ein Interview von Achim Sawall ( Gartner , KI )

Key Senate Democrats are balking at the latest version of a cryptocurrency regulation bill over a White House-approved ethics provision that they argue falls short, complicating the bill's chances of passing in the narrow window before lawmakers leave town next month. Sen. Cynthia Lummis (R-Wyo.), who leads the Senate Banking digital assets subcommittee, unveiled an...

A leading environmental economics journal is looking into claims that a 2025 study linking national innovation to lower carbon emissions contains data that does not match its source, after an expert in the field requested the paper be retracted. The article appeared in Ecological Economics, the journal for the International Society for Ecological Economics and … Continue reading Journal investigating apparent data mismatch in climate study

India's finance panel says the Securities Markets Code leaves many cryptocurrencies outside regulation and recommends dedicated legislation. The post Parliamentary finance committee calls for regulatory framework for virtual digital assets appeared first on MEDIANAMA .

MediaNama announces the first confirmed speakers for its Age Verification roundtable. Register now to attend the discussion on 31 July 2026. The post Speaker Announcement: Age Verification and Restricting Social Media for Children, Delhi, 31 July #NAMA appeared first on MEDIANAMA .

The acquisition formalises a relationship that began in 2021 when Zedcrest participated in Leatherback’s $10 million pre-seed funding.

More than 20 countries are joining a Trump administration initiative to coordinate next-generation wireless policy, standards and security before 6G reaches consumers.

Show me a farmer, said Mike Burdick, vice president of Sabanto, an autonomous tractor startup in Itasca, Illinois, and I’ll show you someone who has a million things he or she just doesn’t have time to do in the course of their workday. He’ll also show you a farmer who wouldn’t mind having their tractor ghost-ride across their fields as they take care of the endless work of being a modern farmer.  That’s one of the central observations that has driven the growth of Sabanto’s autonomous tech

The current maelstrom of discussion surrounding the use of open-source software and open-weight AI models appears to be splitting opinion The post Nvidia, Palantir, Hugging Face join 34 others in race to defend open-weight AI from cyber threats appeared first on The New Stack .

The rulings suggest that lenders operating without a CBK digital credit provider licence may struggle to enforce loan contracts, raising the commercial risks of lending before obtaining regulatory approval.

Stabile Videos, smartes Tracking und integriertes Licht: Der DJI Osmo Mobile 8 ist bei Amazon zum neuen Bestpreis zu haben. ( Smartphone , DJI )

A corporate fad of “tokenmaxxing” on artificial intelligence technology is hitting its limits as workplaces throwing AI at everything are seeing the costs rise without a similar spike in productivity.

Dharmendra Pradhan resigned on Saturday, leading to the appointment of Pralhad Joshi as the new education minister while the PM announced a task force led by Nandan Nilekani to make exams more transparent and tech-driven The post Dharmendra Pradhan resigns, exam reform task force announced: CJP protest updates appeared first on MEDIANAMA .

Der QuadBoat-Roboter hat vier Beine, mit denen er übers Wasser laufen kann. Er soll bei Rettungsmissionen Ertrinkende bergen können.

Taiwan produces the world’s most advanced semiconductors, yet the island’s own military is only in the opening stages of adopting artificial intelligence systems. This mismatch bears directly on Taiwan’s ability to deter Chinese aggression.Beijing is pushing to develop and field sophisticated AI-enabled military capabilities. Given China’s focus on “reuniting” with Taiwan, the Taiwanese military could be the first to contend with the People’s Liberation Army’s emerging defense technologies durin

A U.S. federal case involving GrapheneOS's duress password feature could redefine digital privacy and border phone search laws. The post U.S. man prosecuted over alleged use of phone’s Duress password at border appeared first on MEDIANAMA .

Svalbard is a stark archipelago of glaciers and coal mines lying 650 kilometers (403 miles) north of Norway’s North Cape, roughly halfway between the Norwegian mainland and the North Pole. It belongs to Norway but is governed under a 1920 treaty that grants nationals of more than 40 signatory states sweeping economic rights while barring Oslo from constructing naval bases or using the archipelago for “warlike” purposes. Far to the south, in the Baltic Sea between the Finnish and Swedish coasts,

ChangXin Memory Technologies (CXMT), China’s largest DRAM maker, raised RMB57.92 billion ($8.6 billion) in its Shanghai STAR Market IPO on July 27, in what became the largest mainland semiconductor offering on record. By the midday break, its shares had risen 531% from the IPO price, pushing its market value to RMB3.66 trillion and making it […]

Aus Text oder Foto entsteht schnell ein 3D-Mesh - doch das Generieren ist nur der Anfang. Das Modell muss noch optimiert, gepr�ft und druckbar gemacht werden. Der Meshy 3D-Agent b�ndelt diese verstreuten Schritte in einem einzigen Dialog. ( 3D-Drucker , KI )

Building a Road Map for First-Gen Students Joshua.Bay Mon, 07/27/2026 - 03:00 AM The University of Houston–Downtown’s First-Generation Gator Program combines mentoring, scholarships and family engagement to help students navigate college. Byline(s) Joshua Bay

Can Outcomes-Based Financing Help Solve the Loan Crisis? jessica.blake@… Mon, 07/27/2026 - 03:00 AM In an interview with Inside Higher Ed , Ethan Pollack, a senior director at Jobs for the Future, discusses how these loans work and why they might help address today’s challenges. Byline(s) Jessica Blake

Workforce Pell Is Live. How’s It Going for States? Sara Weissman Mon, 07/27/2026 - 03:00 AM As states work to implement the new policy, only a trickle of programs have qualified. But experts say it’s too early to tell Workforce Pell’s full impact. Byline(s) Sara Weissman

A new SOC service gives companies enterprise-level cyber security defences.

Local customers are realising that AI and agentic AI are likely to be a complementary technology, augmenting the work humans do, says Paul Field, professional services/managed services BU leader at CASA Software.

PM Modi has announced a Nandan Nilekani-led task force to reform the NTA, strengthen exam security, improve transparency, and recommend structural and technological changes. The post PM Modi ropes in Nandan Nilekani to lead task force on exam reforms appeared first on MEDIANAMA .

The services include a design-on-demand offering and user experience audits that meet stringent procurement and governance requirements.

As organisations prepare for AI-driven ways of working, the quality, governance and life cycle of information have become business-critical considerations.

Trois actualités à retenir cette semaine dans le cyberespace : des agents d'OpenAI qui ont piraté Hugging Face en toute autonomie, une faille noyau critique débusquée par Claude Mythos, et le récit d'une course contre la montre chez OVHcloud pour colmater une vulnérabilité vieille de 16 ans.

Tech group becomes China’s most valuable listed company in mainland’s biggest IPO since 2010

This article is republished with permission from Laser Wars , a newsletter about military laser weapons and other futuristic defense technology. The most critical component to actually fielding high-energy laser weapons at scale isn’t the diode pump, or the gain medium, or the beam director. It isn’t even the power source. In reality, it may actually be this tiny fiber-optic converter. On July 23, defense technology company Attalon—formed earlier this year from the spin-off of American laser com

Rising expenditure from OpenAI, Anthropic, Google and Microsoft reflects growing battle over federal policy

Plus blenders, hairdryers and lawnmowers that do the job quietly

Process could test investors’ willingness to back business software groups with market roiled by AI disruption

The Hulu crime drama “Furious” may be (loosely) inspired by the 1987 thriller “Black Widow,” but the series has several other, and frankly stronger, influences at work. After all, in swapping out a serial killer of rich men she marries for money in favor of a child trafficking victim who targets her former abusers, creator […]

Shares of Chinese memory chipmaker CXMT have soared as the company began trading in Shanghai in mainland China’s biggest IPO in recent years.

The Hefei-based company raised 57.92 billion yuan ($8.6 billion) after pricing its IPO at 8.66 yuan per share.

Brandtech’s chief executive says AI is transforming industry but his company faces doubts over valuation

On Saturday, China’s State Administration for Market Regulation (SAMR) imposed administrative penalties on Ctrip Group for abusing its dominant market position in violation of the country’s Anti-Monopoly Law. The total fine and confiscated illegal gains amounted to RMB 5.179 billion ($760 million). In a statement released the same day, Ctrip said it had received the […]

BYD yesterday released a teaser poster hinting that its first humanoid robot will make its public debut in early August. The announcement follows earlier comments from BYD executives signaling the company’s ambitions in robotics. Last month, BYD Executive Vice President Li Ke said the company hopes to eventually deploy humanoid robots across its dealership network, […]

SPOILER ALERT: This article contains spoilers for Season 3, Episode 3 of “House of the Dragon,” now streaming on HBO Max. Daeron Targaryen (Benjamin Evan Ainsworth) is growing up: On this week’s episode of “House of the Dragon” Season 3, the youngest (and least blonde) child of Alicent Hightower (Olivia Cooke) and Viserys Targaryen (Paddy Considine) […]

Shares of ChangXin Memory Technologies (CXMT), China’s leading maker of dynamic random-access memory (DRAM) chips, rose 472 per cent on their Shanghai trading debut, giving the company a market capitalisation of 3.31 trillion yuan (US$489 billion). The Hefei-based company opened at 49.50 yuan on the Star Market on Monday morning, compared with its initial public offering (IPO) price of 8.66 yuan. CXMT has become the most valuable company listed on the mainland Chinese market. The size of the...

Corgi, an AI-powered full-stack insurance platform, has reportedly hit a $4 billion valuation after raising money from investors for the fourth time this year.

A Tsinghua University Ph.D. student who took on a series of short-term gigs for research shines a light on the pressures and pride felt by Beijing’s day laborers.

The post Steering AI’s Economic Impacts, Before They Arrive appeared first on Partnership on AI .

The warning shots will continue until civilization wakes up

CSET’s Sam Bresnick and Fanny Chao shared their expert analysis in an op-ed published by War on the Rocks. The article examines Taiwan’s challenges in adopting artificial intelligence for military applications, highlighting how the gap between Taiwan’s world-leading semiconductor industry and its limited military AI readiness could affect its ability to deter Chinese aggression and future collaboration with partners. The post Taiwan’s Tech Hurdles Threaten Military Capability and Potential Coali

New OpenAI research shows how AI is expanding what workers do, with ChatGPT users taking on tasks across roles and reshaping job boundaries.

When a misaligned AI can only output tiny amounts of information, it may find sabotage very difficult

Greetings from a world where…

An opinionated guide to which AI to use to do stuff It's interesting watching the evolution of Ethan Mollick's guide over time. A year ago it was still all about chat - ChatGPT, Claude, Gemini - with o3, Claude 4 Opus, and Gemini 2.5 Pro as the models and Deep Research as a useful alternative mode. Today it's much more about agentic systems - "where the AI is capable of doing the equivalent of many hours of real human work in one go". Gemini has fallen off Ethan's list, since Google still doesn’

Today, Microsoft announced Project Perception, a series of red, blue, and green team agents designed to be coordinated together in an agentic architecture to evaluate infrastructure and close gaps as close to autonomously as possible. The red team agents find potential paths to compromise. The blue team agents prioritize and evaluate them. The green team […]

A policy statement about accuracy should, at minimum, be precise. The Federal Trade Commission’s (FTC) Proposed Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems (AI Policy Statement) struggles with that assignment. The International Center for Law & Economics (ICLE) submitted comments in response to the FTC’s request for input, and this post ... The FTC’s AI Accuracy Statement Needs a Fact Check The post The FTC’s AI Accuracy Statement Needs a Fact Check

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social choice theory can help balance the needs of users, creators, and society. The conversation explores the future of recommendation algorithms and why fairness is a far more complex challenge than it first appears.

Open models volume ↑ AI & productivity ↑ Kids in cities ↓

Can the law tell a company that it is no longer free to destroy its own products? Among the powers traditionally associated with ownership is the freedom to determine the fate of one’s property. Whether doing so is economically sensible or environmentally responsible is another matter. However, as of 19 July 2026, the Ecodesign for Sustainable Products Regulation (ESPR), which entered into force in 2024, prohibits large companies from destroying unsold clothing, accessories and footwear, subject

The same multimodal backbone that generates 20-second video with audio is being tested on industrial manipulation at Audi Production Lab.

Research shows that, more than military strikes or sanctions, authoritarians fear support for independent media, anti-censorship tech, and civil society. The post Authoritarians Keep Telling Us What They Fear. We Should Listen. appeared first on Just Security .

Signup to receive the Early Edition in your inbox here. A curated guide to major news and developments over the weekend. Here’s today’s news: IRAN WAR President Trump directed the U.S. military not to conduct new strikes in Iran on Friday, breaking a nearly two-week streak in daily attacks, two sources said. “We’re talking to [the […] The post Early Edition: July 27, 2026 appeared first on Just Security .

Yet another Israeli mass surveillance company : Made by Israeli surveillance company Cognyte, the tech simulates a mobile phone tower, which forces nearby phones to connect to it. That enables cops to keep tabs on any phones in the vicinity ­ whether they’re owned by a suspect in a case or not. Cognyte’s contract with the state of Texas reveals that the simulator, called FalcoNet, can be concealed within the vehicles, hidden in a backpack for on-foot missions or attached to a helicopter. It’s th

Today's links How the EU can punish Google (despite Trump): Grant me the courage to change the things I can. Hey look at this: Delights to delectate. Object permanence: Chilling Effects; Billy Bragg v Myspace; Glenn Beck calls murdered Norwegian children "Hitler Youth"; Photog sues Getty for $1b copyfraud; Best paid CEOs perform worst; Olympics v "Olympics"; Alberta tar sands v "hot lesbians"; IoT security apocalypse; 3 Little Pigs in pidgin; The nasty party; Copyright extortionist infringed fel

Open source software is a critical pillar of the global economy. It underpins cloud computing, financial services, manufacturing, telecommunications, government and internet services by making technology accessible and observable to communities of experts. Cybersecurity is among the top three beneficiaries of open source software. The Open Secure AI Alliance — building on the leadership of […]

The Trinity Legal Term ends on Friday 31 July 2026. The summer legal vacation will run until Thursday 1 October 2026 when the Michaelmas Legal Term will begin. On 23 July 2026, the Investigatory Powers Tribunal (Lady Carmichael, Chamberlain J and Mr Shaw KC) handed down judgment in Kearney and BBC v Chief Constable of the Police […]

The Commission publishes new transparency guidelines and confirms the Code of Practice on AI-generated content, as attention turns to the EU's enforcement powers taking effect on 2 August.

The complexity of modern chip design continues to grow as engineering teams work to develop increasingly sophisticated CPUs, GPUs and AI systems. To help meet that challenge, NVIDIA is collaborating with industry leaders Cadence and Synopsys to optimize critical electronic design automation (EDA) applications for the NVIDIA Vera CPU. NVIDIA is now deploying Vera across […]

In this document, the Federal Communications Commission (Commission or FCC) adopted a Second Report and Order that promotes the deployment of submarine cables while strengthening national security interests in connection with their modern capabilities. The Second Report and Order establishes a regulatory regime for licensing owners and/or operators of submarine line terminal equipment (SLTE), including granting a blanket license to certain current and future SLTE owners and/or operators that are

The Caribbean Fishery Management Council (CFMC) will hold the 190th public hybrid meeting to address the items contained in the tentative agenda included in the SUPPLEMENTARY INFORMATION.

What GAO Found The Equal Access to Justice Act (EAJA) was enacted in 1980, in part to address individuals’ and organizations’ ability to challenge or defend themselves against civil or administrative actions involving the federal government. EAJA authorizes the award of legal fees to parties that prevail against the federal government and meet other eligibility criteria, under certain circumstances. Federal agencies reported paying over $116 million for about 15,000 EAJA awards, on average per y

Research on preference optimization often varies the training objective while holding the data fixed. We instead ask whether a small, high-confidence set of on-policy responses can provide a reliable learning signal. Our method, DMAPO (Data-centric Multi-evaluator Agreement for Preference Optimization), generates candidate responses from the target policy, evaluates helpfulness, factuality, and conciseness with rubric-specialized evaluators, applies a process-critic correction, and retains only

The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often considered unstable, though the underlying failure mechanisms have not been systematically investigated. In the State-of-the-Art (SOTA) research, fifteen (model, corpus) configurations were trained using Proximal Policy Optimization (PPO). The experiments included Pythia-70M, 160M, 410M and SmolLM2-135M, 360M on the TinyStories, CNN/DailyMail, and Wikitext-103 corpora. Three reprod

Developers judge a model checkpoint by how it behaves. After supervised fine-tuning (SFT), two checkpoints that perform about the same across relevant benchmarks are treated as interchangeable, equally ready for the next alignment stage, typically preference optimization. We ask whether this judgment misses a pretraining imprint: a difference that no post-SFT benchmark reveals, yet that decides how each checkpoint responds to further training. To find out, we run a controlled experiment on the f

Background: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 weeks; the Ascension Health breach affecting 5.6 million patients; and the Change Healthcare breach costing US $2.5 billion. Conventional cybersecurity measures in health care remain reactive and inadequate against evolving threats. Machine learning (ML) offers adaptive, predictive, real-time cyber defense; yet, there is limited clarity on how ML tools

A growing number of applications, such as biometrics and retrieval-augmented generation (RAG), rely on cosine similarity scores computed between vector embeddings of text, images, or audio. These systems return similarity scores through their APIs for ranking and verification. However, such releases can leak information about individual records and enable membership inference attacks. While differential privacy (DP) provides a principled metric for quantifying attack risks, naïve application of

Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering multi-modal attributes, such as typography, vector geometry, colors, grouping, and layer ordering. We present ReDesign, an agentic framework that grows an editable layer hierarchy by selecting and composing specialized tools across modalities. To keep this long decision process reliable despite imperfect tool outputs,

Learning deployable manipulation policies is bottlenecked by the scarcity of data that is both high-fidelity and scalable. Real-robot teleoperation is accurate but costly to scale; robot-free UMI capture scales readily, and current practice uses the resulting data mainly for pre-training, adding a small real-robot "anchor" at post-training. We ask whether raising the fidelity of robot-free UMI data, rather than shrinking the real-robot fraction, can remove that anchor. We present HiFi-UMI, a por

We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7times its size on text safety benchmarks and sets a new state of the art on multimodal safety classification. Shieldstral formulates content moderation as a binary question-answering task. This simple formulation unifies diverse moderation tasks into a single yes/no problem, enabling heterogeneous safety datasets with divergent taxonomies to be consolidated under one t

Rubric-based reinforcement learning enriches language model training by evaluating model outputs against explicit criteria. Yet in GRPO-style pipelines, these structured judgments are reduced to a scalar response-level reward and converted into a response-level advantage, which is broadcast uniformly to all generated tokens. This leaves no explicit mechanism for allocating credit within a response, even when different criteria are grounded in different spans, formatting decisions, or semantic ch

Training large language models (LLMs) to act in long-horizon games is a promising step toward generalist decision-making, yet reinforcement learning with verifiable rewards (RLVR) relies on sparse final rewards that reveal little about which decisions determine success. Denser process signals could supply this missing turn-level credit, but existing sources are hard to keep both cheap and accurate. We observe that changes in a game solver's state value reveal whether an action advances the state

Stealth, the discipline of achieving an objective without revealing your presence, capabilities, or collected intelligence, is what separates sophisticated operators from detectable ones. Elite security researchers and advanced persistent threats achieve their objectives unnoticed; autonomous agents increasingly inherit the same offensive tasks, but do they inherit the tradecraft? We introduce StealthBench,a benchmark that measures operational stealth in autonomous offensive-security agents acro

We introduce GPT-Red, an automated red-teaming agent that is trained to discover novel prompt injection attacks against frontier LLMs. The goal of this model is to evaluate and improve the robustness of our production systems. To this end, we use it to adversarially train GPT-5.6, our most robust model to prompt injections to date. To create GPT-Red, we design a scalable self-play algorithm where the model is tasked with attacking a diverse population of simultaneously-trained defender agents. W

Hyperspectral imaging (HSI) is useful for material discrimination, but operational mine screening also depends on how many false alarms must be inspected before targets are found. This paper studies PFM-1 landmine detection in unmanned aerial vehicle (UAV) visible and near-infrared (VNIR) HSI using spectral angle mapper (SAM), matched filter (MF), adaptive coherence estimator (ACE), and constrained energy minimization (CEM). We compare a ground-measured SVC signature, a fully informed in-scene c

Coding agents repeatedly search, navigate, and retain context from evolving repositories, but disconnected indexes, language servers, and task-local histories force repeated discovery and obscure lifecycle costs. CodeNib builds reusable lexical, dense, and structural views per repository commit, maps outputs to repository-relative source ranges, maintains selected views across edits, and serves ranked search, symbol navigation, and bounded context through one runtime. Across 100 snapshots, we ma

Any-to-any models predict any modality from any combination of others within a single network, a formulation used in multimodal vision and vision-language models, and increasingly in scientific domains such as ecology and astronomy. Existing any-to-any models are typically trained from scratch using encoder-decoder or diffusion architectures, impacting their performance and preventing them from using strong pre-trained decoder-only models as a prior. In this work, we investigate decoder-only any

On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix failure: once the student commits to a wrong reasoning direction, all subsequent generation builds on this deviation, producing misdirected continuations that elicit unreliable supervision and waste compute. We identify a teacher-student continuation asymmetry on failed prefixes, where the teacher tends to redirect while the student continues along the original direction, and con

We present a reproducible pipeline for mapping Common Vulnerabilities and Exposures (CVEs) to MITRE ATT&CK Enterprise techniques from free-text vulnerability descriptions. Rather than relying on the CWE->CAPEC->ATT&CK derivation chain, whose table-expansion artifacts we quantify, we train a multi-label classifier on a curated gold dataset of 1,207 CVEs from expert MITRE Center for Threat-Informed Defense mappings. The resulting model approximately doubles recall@5 compared with a zero-shot embed

Background: Social media platforms have become important spaces for the circulation and discussion of health information. X (formerly Twitter) is one such space where traditional, complementary, and integrative medicine (TCIM)–related terms circulate in public health discourse. However, longitudinal TCIM-related mention patterns on social media, particularly during the COVID-19 pandemic period, remain poorly documented. Objective: The study aimed to characterize temporal mention patterns of TCIM

Glioma grading from tumor contours is often treated as a pixel problem even when the signal of interest is shape. We align closed contours with a functional shape-alignment framework, separate global deformation from residual Fourier shape, and organize these quantities as frequency-ordered tokens. In five-fold patient-disjoint cross-validation on BraTS~2020 tumor contours, with model selection performed using grouped inner validation, a compact multilayer perceptron (MLP) achieves the highest m

Background: Spiritual care providers are increasingly challenged to address the introduction of AI within the ethical, theological, and organizational bounds of their employers and religious or worldview communities. However, empirical data on professional perspectives regarding AI implementation in spiritual care remain scarce. Objective: This study aimed to conduct the first empirical investigation of AI use cases, risks and benefits, theological and ethical considerations, and relevant profes

Language model alignment aims to make model behavior reliably reflect desirable properties such as helpfulness, safety, and instruction following. Current approaches typically use supervised fine-tuning on demonstrations or reinforcement learning with rewards derived from verifiers or human feedback. These paradigms leave an important question underexplored: can demonstrations alone yield an implicit reward that can be inspected, reused, and optimized on-policy to align AI? Motivated by inverse

Existing theories of neural-network width characterize asymptotic limits, but provide limited guidance on whether an expansion direction identified from finite training data remains beneficial on unseen data. We study this problem for function-preserving residual expansion and introduce the effective alignment dimension, a measurable quantity describing the signal-noise geometry of activation gradients. By deriving the exact mean and variance of the inner product between independently estimated

Unsupervised graph representation learning aims to derive meaningful node embeddings by capturing both structural and attribute information without relying on labeled data. Existing methods, such as GAEs, have demonstrated effectiveness but typically rely on message-passing mechanisms that assume homophily, leading to performance degradation on heterophilous graphs, where connected nodes exhibit dissimilar features. This homophily bias results in the loss of critical high-frequency components th

Modern LLM systems increasingly rely on knowledge-selection processes that produce high-value structured priors, such as ranked evidence, graph topology, multimodal alignment, and confidence signals. Yet LLM serving remains fundamentally oblivious to this rich structure: once such signals are serialized into a prompt, the backend observes only a flat token sequence, forcing dense and uniform consumption of the full key-value (KV) state during decoding. We term this architectural mismatch the Kno

Mobile infrared-visible imaging typically pairs a compact infrared sensor with a high-resolution visible camera for complementary perception. While cross-sensor misalignment caused by different optics, viewpoints, fields of view, and exposure timings hinders practical deployment. In this paper, we propose BeyondFusion, a unified latent diffusion framework for calibration-free visible-guided infrared super-resolution and infrared-visible fusion tasks. The proposed framework supports both task-spe

Publication date: Available online 25 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Chia-Kai Chang, Kuei-Hao Li

arXiv:2607.21757v1 Announce Type: new Abstract: Large language models are increasingly used to simulate human preferences in research and practical applications, raising concerns about validation, misrepresentation, and exclusion. Co-designing agents with the people they represent is a promising way to address these concerns, but participation may also mask the problems it appears to solve. This paper explores that tension through a primarily qualitative study in which 12 participants co-designe

arXiv:2607.22006v1 Announce Type: new Abstract: Buildings account for roughly 34% of global final energy use and 37% of energy- and process-related CO$_2$ emissions. Stranding regulation now being enacted (New York City Local Law 97, the EU Energy Performance of Buildings Directive recast) presupposes that a building portfolio's carbon intensity can be measured per square metre and compared against a science-based pathway. Whether corporate disclosure is actually fit for that comparison has not,

arXiv:2607.22513v1 Announce Type: new Abstract: Commercial large language models are increasingly used as knowledge references, yet their stance on contested scientific claims is neither stable nor transparent. We tested how four major LLM families (Claude, Grok, GPT, Gemini) evaluate ethnonationalist pseudo-science derived from Frank Salter's biosocial framework across four temporal snapshots (October 2025-February 2026), via both API and web interfaces. Grok's Fast versions (which power the de

arXiv:2607.21608v1 Announce Type: cross Abstract: With the EU AI Act entering into force, organizations developing or operating AI systems face new obligations on transparency, risk management, and traceability. For Requirements Engineering (RE), these obligations must be translated into testable, auditable requirements and verifiable evidence. However, many organizations currently lack systematic processes to achieve this. We hypothesize that LLM-based agentic validation tools can support this

arXiv:2607.21799v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly perform commercial tasks that involve retrieving external content such as images and, where appropriate, reproducing that content. LLM agents should comply with the law, including copyright law. Presently, however, we lack adequate frameworks to assess whether they do so in practice. To that end, we introduce \textbf{Copyright-Bench}, a benchmark designed to evaluate \textit{LLM agents' compliance wi

arXiv:2607.22377v1 Announce Type: cross Abstract: Most educational technology for children is built around visual interfaces, which excludes the many children worldwide who live with visual impairment -- an estimated 1.4 million children are blind and many more have low vision. We present Kutti AI, a voice-first learning companion designed so that audio is the primary and sufficient interface: children learn curriculum concepts through spoken conversation, respond by speaking, and receive spoken

arXiv:2510.01467v2 Announce Type: replace Abstract: The rapid emergence of generative artificial intelligence (AI) and related technologies has the potential to dramatically influence higher education, raising questions about the roles of institutions, educators, and students in a technology-rich future. While existing discourse often emphasizes either the promise and peril of AI or its immediate implementation, this paper advances a third path: a principled framework for guiding the use of AI i

arXiv:2510.22933v4 Announce Type: replace Abstract: Public defenders are asked to do more with less: representing clients deserving of adequate counsel while facing overwhelming caseloads and scarce resources. Although artificial intelligence (AI) is often promoted as a means of relieving administrative and cognitive burdens, legal AI research rarely engages with the everyday realities of public defense work. Drawing on in-depth, semi-structured interviews with 17 public defense professionals ac

arXiv:2602.09678v3 Announce Type: replace Abstract: Since 1887, administrative law has confronted a problem of institutional cognition. Expert agencies are needed to govern technologically complex systems, but expertise makes agency decisions difficult for courts, Congress, and the public to understand and oversee. Administrative law has responded to this "capability-accountability trap" by requiring records, reason-giving, and transparency, drawn together through procedural review. These device

arXiv:2607.06260v2 Announce Type: replace Abstract: Large language models (LLMs) are emerging as a new informational layer over cities, shaping which places people discover, consider, and ultimately visit. Yet little is known about which places they surface, which they ignore, and whether these patterns vary across communities and users and translate into real-world economic consequences. Here, we audit restaurant recommendations from three major LLMs across 304 neighborhoods in five U.S. cities

arXiv:2505.19212v2 Announce Type: replace-cross Abstract: Recent advances in LLMs have enabled their use in complex agentic roles, involving decision-making with humans or other agents, making ethical alignment a critical concern. While prior work has examined LLMs' moral judgment and strategic behavior separately, there is limited understanding of how they act when moral imperatives directly conflict with profit incentives. We introduce \msimfull (\msim) to evaluate how LLMs behave in the priso

arXiv:2509.10517v3 Announce Type: replace-cross Abstract: Machine learning can predict in-hospital mortality, but data privacy and the statistical heterogeneity of clinical data hamper its use. Federated Learning (FL) is privacy-preserving, yet its behavior under non-IID and imbalanced conditions needs scrutiny. We benchmark five FL strategies - FedAvg, FedProx, FedAdagrad, FedAdam, and FedCluster - for mortality prediction on the MIMIC-IV dataset, partitioning 466,351 admissions across five car

arXiv:2604.00024v2 Announce Type: replace-cross Abstract: Large language models are increasingly used for medical guidance, but women's health remains under-evaluated in benchmark design. We present the Women's Health Benchmark (WHBench), a targeted evaluation suite of 47 expert-crafted scenarios across 10 women's health topics, designed to expose clinically meaningful failure modes including outdated guidelines, unsafe omissions, dosing errors, and equity-related blind spots. We evaluate 22 mod

arXiv:2604.26577v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly considered for deployment as the control component of robotic health attendants, yet their safety in this context remains poorly characterized. We introduce a dataset of 270 harmful instructions spanning nine prohibited behavior categories grounded in the American Medical Association Principles of Medical Ethics, and use it to evaluate 72 LLMs in a simulation environment based on the Robotic H

arXiv:2604.27618v2 Announce Type: replace-cross Abstract: Understanding the impact of large language models (LLMs) on mathematics education requires data on LLMs' mathematical performance and biases. To this end, we introduce Math Education Digital Shadows (MEDS), a dataset mapping how LLMs reason about mathematics across human- and AI-like personifications. MEDS comprises 28,000 runs from 14 LLMs (i.e., Mistral, Qwen, DeepSeek, IBM Granite, Microsoft Phi, and xAI Grok) generated under human-sha

Machine unlearning, which aims to remove the influence of specific training data from a trained model, is a key requirement for privacy, accountability, and adaptive deployment. We argue that many unlearning methods are vulnerable to a simple clustering attack, which can recover class structure in an unsupervised manner, limiting their suitability for continual deployment where removal requests must be handled reliably on demand. To address this, we propose DECAF (DE-Clustering for Adaptive Forg

Mobile robots operating in human-populated environments must navigate complex, multi-room spaces while ensuring safety, i.e., generating collision-free motion. In this study, we present a sensor-based model predictive control (MPC) scheme designed for safe crowd navigation in such non-convex environments. The proposed framework decomposes the free space into a set of overlapping convex regions to construct a topological graph, enabling a high-level planner to compute optimal sequences of travers

Background : Deep neural networks increasingly power language, vision, and decision systems, yet many deployments require explanations that are faithful, compositional, and governance-ready. Symbolic techniques promise these properties, but the literature mixes post-hoc extraction, knowledge injection, and intrinsically hybrid designs without a unifying view. Objectives : We provide a systematic review and synthesis of symbolic explainable AI (XAI) for deep learning (January 2017– June 2025), or

As part of TU Delft Rhizome 2.0 and Moonshot projects, focusing on the development of extraterrestrial habitats in lava tubes, the robotic mapping of an analogue lava tube in Sicily has been studied with the future goal of assessing its suitability for building construction. The main objective of the research was to survey a lava tube and acquire a novel dataset for future research, while also analyzing the collected data to evaluate possible future lava tube exploration scenarios for the Moon a

IntroductionAlzheimer’s disease (AD) is a progressive neurodegenerative disorder with the gradual loss of cognitive functions and neuronal degeneration. Early and accurate diagnosis is essential for timely therapeutic intervention and improved patient management. However, effectively integrating complementary multimodal information for reliable AD classification remains a significant challenge.MethodsThis study proposes TriFusion-ADFormer, a multimodal deep learning framework for multiclass clas

Forecasting corporate earnings growth is fundamental to investment, credit, and regulatory decision-making. Existing forecasting approaches either rely on restrictive linear assumptions or provide limited interpretability, making them less suitable for high-stakes financial applications. This study proposes a transparent and causally informed framework for predicting future corporate earnings growth from financial statement data. We present TRuE-XAI (Transparent, Rule-based, and Explainable Arti

Knowledge-based visual question answering requires models to connect question-relevant visual evidence with external knowledge for accurate reasoning. However, existing approaches still face two critical challenges: insufficient alignment between visual content and question intent, which leads to missing or irrelevant evidence, and ambiguity in entity-level semantics, especially for fine-grained or knowledge-intensive concepts. To address these issues, we propose an inference-time evidence augme

Corporate boards increasingly bear formal fiduciary responsibility for overseeing AI-driven strategic and sustainability decisions, yet their practical capacity to exercise such oversight substantively remains poorly documented. This study investigates whether a measurable AI governance capability gap exists between board-level and executive-level AI competence and examines the implications of this gap for the integrity of AI-driven ESG reporting. A pilot study (n = 26) of board members and seni

Face recognition systems are widely used in surveillance, biometric authentication, access control, and digital identity verification; however, supervision sensitivity, evaluation stability, and performance consistency across datasets remain insufficiently understood. This study investigates the behavior of convolutional, transformer-based, and hybrid face recognition architectures under both Softmax and ArcFace supervision using five-fold subject-disjoint cross-validation on the Labeled Faces i

Empirical user studies are essential for evaluating visual encodings and can reveal perceptual and cognitive mechanisms, but they do not by themselves provide causal, predictive accounts of interpretation errors. Evaluations are therefore often post hoc: they measure performance after a design has been specified rather than predicting how attention, uncertainty, memory, and bias may produce accurate or erroneous judgments. To address this mechanistic gap, we translate a cognitive theory of visua

Urban decision-making requires integrating heterogeneous spatial data. While current GIS tools handle geometric computation efficiently, they lack the semantic reasoning to guide complex workflows. Analysts manually manage data discovery, spatial boundaries, and measurement semantics, risking aggregation errors. We present UrbanTrace, a visual analytics system that transforms manual spatial data-wrangling into a transparent, node-based collaborative workflow with context-aware AI agents. Using a

Interactive electrical muscle stimulation (EMS) has revealed its promise as a portable interface for force-feedback. However, while much ink has been spilled about the advantages of EMS, few have investigated one of its central limitations: the need to attach electrodes to users. This has dramatically limited the application of EMS, especially in brief interactions or physical assistance with tools. To explore an alternative, we propose embedding electrodes (and stimulator) inside objects that t

As conversational AI systems become increasingly integrated into daily life, their potential effects on user well-being require ongoing attention. While consumer-facing generalist models can provide benefits, including improved access to information, learning, productivity, self-reflection, and companionship, they also introduce risks, such as emotional entanglement, unhealthy dependence, and the amplification of psychological vulnerabilities. Drawing on prior research and empirical observations

Extended Reality (XR) is increasingly used in human-robot interaction to communicate robot intent, planned motion, reachability, and state. We argue that XR should also be understood as a mediation layer for situated human control in human-robot teaming. Situated human control denotes the human collaborator's ability to understand, shape, authorize, and interrupt robot action within the concrete physical, social, and temporal context in which that action unfolds. We ground this perspective in sc

AI-assisted production has sharply reduced the cost and team size required to ship a video game, producing a supply shock on open marketplaces. Recent estimates put Steam release volume at roughly sixty new titles per day, with median per-title revenue for a large share of releases falling below the platform's own submission fee [1]. This paper asks whether the resulting oversupply constitutes an emerging market crash or a structural correction, and what discovery infrastructure the market will

Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying them in the medical domain is fundamentally a vision-centric challenge: models must absorb knowledge from heterogeneous 2D and 3D medical images, and evaluation protocols must align with radiologists' clinical practice and provide an accurate, fine-grained and factualness-driven assessment. In this paper, we introduce ClinFusion, a vision-centric MLLM designed for holistic medical un

The use of cheat sheets in exams is often framed as a way to reduce cognitive load and support student performance. However, little is known about how students choose between self-created and instructor-provided cheat sheets, or how these choices relate to their broader approaches to exam preparation. We conducted a longitudinal study in a senior-level undergraduate software requirements course, where students could use either an instructor-provided or a self-created cheat sheet for both the mid

On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the current student, but how it should behave under classifier-free guidance (CFG), a default component of modern diffusion systems, remains poorly understood. Existing OPD methods naturally extend velocity matching to the CFG-composed prediction, directly matching teacher and student guided velocities. We show that this objective is under-identified at the branch level: positive- and negat

Computer vision models have become highly effective for medical applications, yet their black-box nature continues to undermine clinician trust. In clinical workflows, chest X-ray classifiers are increasingly paired with Vision-Language Models (VLMs) to generate natural-language explanations. However, these systems add linguistic fluency without addressing the underlying opacity of the visual model. With the emergence of Kolmogorov-Arnold Networks (KANs), whose spline-based components provide in

Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains unclear. Existing models are trained on uncontrollable and opaque Internet data, making it difficult to identify how planning ability is acquired, shaped, and integrated. To address this challenge, we introduce a unified and controlled multi-turn environment that enables precise control. It allows systematically study long-horizon planning across three stages. (1) Planning abilit

Multi-modal classification leverages complementary information across diverse data sources to enhance predictive performance. However, real-world scenarios subject to operational constraints, such as sensor failures or privacy restrictions, lead to inconsistent modality availability between training and inference times. To handle missing modalities, prior studies have mainly covered bimodal data setups and focused on designing robust fusion processes. Instead, we adopt a multi-modal co-learning

Scientific user facilities accumulate decades of operational knowledge that no single search index covers: electronic logbooks, technical documents, internal wikis, operations chat messages, maintenance records, and live control-system data. We present APS-RAG, Advanced Photon Source Retrieval Augmented Generation, a deployed platform that makes the institutional knowledge at the Advanced Photon Source (APS) accessible to staff through natural-language queries, along with an operations-grounded

Ultra-weak ‘biophotons’ might be used to diagnose disease, or could even represent a new signalling mechanism in cells.

Large language models are increasingly used as social simulators, including as synthetic survey respondents. Most evaluations ask whether simulated outcomes resemble human outcomes. We argue that this is necessary but too weak: a simulator can match the final answer while using the wrong rationale-derived reason pattern. We study this problem through a 94-person sunscreen concept test in which each respondent evaluated three product concepts and wrote open-ended rationales. We map those rational

The wide-scale use of sparse autoencoders (SAEs) as interpretability tools is limited by inconsistent links between SAE features and model behavior. Features with clear activation descriptions may have weak or unexpected causal effects; steering can vary across prompts or oppose the intended direction; and activation-based feature selection can miss features that produce the desired output change. Prior work has studied feature geometry inside the model, where features are computed. We instead s

Recent commercial image-generation models can generate high-quality images with readable text (e.g., posters, infographics, and manuals), attracting considerable attention. Yet we first show that this same capability also introduces a previously unreported safety vulnerability: these systems may refuse to generate harmful text directly, yet permit the same content when rendered as text within generated images, i.e., safety alignment does not reliably transfer from textual outputs to text embedde

Autonomous LLM agents processing mixed-confidentiality data face severe security risks from prompt injection attacks and reasoning errors. While dynamic Information Flow Control (IFC) provides structural security guarantees, traditional taint tracking permanently taints an agent's context upon reading unvetted data, severely restricting downstream utility. We present APPA (Agentic Permissions Policy Algebra), an IFC framework that resolves this usability bottleneck through engine-managed context

Individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) often face significant barriers in computing education. In asynchronous learning environments, instructional videos can impose high extraneous cognitive load, often relying on assumptions about sustained attention and working memory that do not align with ADHD neurocognitive profiles. In this work, we evaluate a post-hoc video processing intervention that segments instructional content into single-instruction chunks followed by fix

Generate--test--revise loops are common in coding agents, but repetition alone provides no reliability guarantee. We study the gap between finding a correct patch and retaining, verifying, and submitting it. A sealed five-seed study over 30 HumanEval repairs produces 900 three-revision trajectories. Under forced revision, current correctness with current traces falls from 0.820 after one revision to 0.673 after two, although ever-correct rises to 0.847. Two common-state studies use 2,430 branche

Ear-worn devices are evolving from audio-playback tools into sensing platforms for health, interaction, and context-awareness. Yet, earable systems are typically designed and evaluated under strong assumptions about how long, how often, and in which situations people actually wear personal listening devices (PLDs). To ground these assumptions in-the-wild behavior, we combine a survey of 330 adults with multi-year, passively logged headphone audio-exposure records donated via Apple Health by 90 o

Background: Large language models (LLMs) are increasingly used to automate code review, but the reasoning behind their decisions remains hard to understand. Developers struggle to assess the validity of LLM-generated reviews, making it difficult to gauge how much trust to place in them. The role of Explainable AI (XAI) in code review and its impact on trust remain underexplored. Objective: We study the influence of XAI on developer trust in AI-assisted code reviews. Method: We conducted a within

The development of the Innovative Ecosystem (IE) presents a new paradigm for economic integration, collaborative advancement, and shared achievements. The rise of Artificial Intelligence (AI) has significantly accelerated the global processes of digitization, informatization, and intelligence. Exploring how AI can leverage inherent characteristics to influence the development trajectory of IE is a topic that warrants further investigation. Given AI's increasing prominence and role within IE, the

Early warning of extreme weather is essential for mitigating the societal, economic, and environmental risks posed by hazardous weather events. However, expert-centered warning workflows are costly, labor-intensive, and difficult to scale throughout the warning-to-action process. Although recent advances in Large Language Model (LLM) agents have enabled the automation of weather-related tasks, existing studies remain centered on isolated scientific tasks and overlook the chain of interdependent

Large-scale video platforms process millions of uploads hourly, requiring moderation systems that can localize when and where policy violations occur within each video. Processing every frame is infeasible at scale, so systems are constrained to sparse inputs of 8 to 16 frames per video. Yet state-of-the-art multimodal large language models (MLLMs) are pretrained on dense sequences of hundreds of frames, creating a fundamental mismatch between training and deployment conditions. This mismatch ca

Security Operations Centers increasingly rely on automated mapping of Cyber Threat Intelligence reports to MITRE ATT&CK, yet extractor outputs remain fallible and are often stored without the evidence, provenance, and validation history needed to decide whether an individual mapping should be trusted. We present TRACE- CTI, a post-extraction claim-governance framework that preserves run-level Predictions, aggregates them into configuration-level GraphAssertions, materializes setup-deduplicated c

Split learning enables collaborative model training by partitioning neural networks across clients and servers. However, improper split placement can lead to severe privacy leakage through intermediate representations. In this work, we propose a topology-guided framework for privacy-aware split learning based on the persistent Betti complexity of smashed activations. Through comprehensive layer-wise analysis, we show that privacy risk in split learning is highly non-uniform across layers and exh

Standardized echocardiography conclusions provide meaningful supervision for learning ECG representations of echocardiography-derived cardiac findings. Global ECG--text alignment may entangle modality-specific factors, while long-tailed finding distributions provide sparse positive supervision for low-prevalence conditions. We propose EchoBridge with Complementary Shared--Private Projection (CSPP) and Adaptive Prototype Boundary Calibration (APBC). CSPP maps each modality into shared and auxilia

Maintenance regulations are complex legal texts that are difficult to exploit when addressing a specific case and challenging to integrate into operational systems. This paper presents a two-stage LLM-assisted workflow for French maintenance regulations: ontology engineering from a SEMLEG-based core ontology, followed by construction of an ontology-grounded French legal knowledge graph. The first stage consists in the open extraction of typed entities and triples from a stratified corpus sample,

Multimodal large language models (LLMs) can combine topology, measurements, and incident text for grid diagnosis, yet answer accuracy does not establish that task-appropriate evidence was used. This letter proposes a general framework in order to conduct task-conditional faithfulness audit. It compares self-reported reliance, intervention-derived behavioral reliance, and preregistered engineering importance. The framework first registers task-specific evidence requirements and compares them with

Pretrained EEG foundation models are increasingly proposed for clinical decoding, but their transfer across populations and robustness to negative controls remain unclear. We benchmark six models (LaBraM, EEGMamba, CBraMod, REVE, BENDR, and BIOT) on five clinical tasks across four datasets using frozen linear probes with leave-one-subject-out, subject-grouped, or explicitly identified recording-level splits. Selected REVE findings are tested against random initialisation, random features, label

Mathematical models are central to formalizing research problems, yet their documentation often falls short of FAIR principles. Knowledge bases such as the Mathematical Model Database (MathModDB) address this gap by providing curated, semantically rich representations of mathematical models. Built on Wikibase, the same open-source infrastructure underlying Wikidata, MathModDB utilizes Semantic Web technologies to support Linked Open Data, collaborative editing, and the storage of semantically en

Learning from minimal human supervision is a long-standing goal in medical image analysis, where dense expert annotations are costly. We study retinal vessel segmentation in an extreme semi-supervised setting with one annotated image and a pool of unlabeled images. We propose ESRVS, which selects a representative reference image for manual annotation and transfers vessel cues using target-domain-adapted DINOv3 features. ESRVS constructs a multi granular vessel prototype, combines prototype-simil

International recruitment in France requires navigating a layered legal framework absent from existing legal AI benchmarks. We present a publicly available benchmark and first comparative evaluation for this domain, covering permit-type recommendation, required-document retrieval, and legal citation coverage. Comparing a parametric LLM baseline against dense retrieval augmentation at two model scales (Qwen3.5-9B and -27B) on 52 annotated synthetic profiles, we find that retrieval improves admini

Large language models may easily assign personality labels from text, but model interpretability remains an open problem. To address this gap, we introduce LEX-EC, a reusable black-box audit framework combining prevalence and agreement diagnostics with controlled lexical ablation to distinguish marginal-distribution effects from trait-associated signal recoverable under restricted evidence. Using this framework, we illustrate how various text genres may exhibit sharply different profiles: free-f

Deep models have substantially advanced 12-lead ECG classification, yet their refinement still relies heavily on human experts to inspect failures and iteratively revise classifier designs. Recent LLM-based agents have demonstrated the potential for automated model design, but when guided only by aggregate performance metrics, they lack insight into why individual cases fail and how the classifier should be revised. We present RecursiveECG, an evidence-driven LLM-as-Designer framework in which a

In deep learning, efficiency gets more and more important to compensate for the ongoing growth in model sizes and applications. Neuromorphic hardware has long been advocated as an upcoming alternative to deep networks, taking inspiration from the brain for achieving unprecedented energy efficiency. However, demonstrations of these gains only recently began to grow in complexity and real-world applicability. With SpiNNaker2, we present a chip that bridges the gap between deep networks and neuromo

Jailbreak defenses are essential for protecting large language models (LLMs), but they can also introduce secondary costs that weaken model utility. We present a systematic study of these defense trade-offs along three dimensions: performance impact, over-refusal on benign inputs, and inference cost. Rather than treating defenses as a single class, we organize them by operational strategy and examine how different strategies correlate with different side-effect profiles. Across state-of-the-art

AI systems already govern. They rank speech and allocate attention, filter applicants and triage claims. The dominant frame for AI governance, alignment, asks whether such systems pursue the right objectives safely. It cannot answer a prior question: by what right are those objectives set and enforced? This Article argues that legitimacy is an autonomous regulatory objective, distinct from alignment and not secured by it. Legitimacy here is sociological: the belief among those subject to power t

Healthcare interoperability requires AI systems to produce structured outputs conforming to standardized schemas including ICD-10 for diagnostic coding, CPT for procedure billing, and HL7 FHIR for data exchange. While large language models demonstrate clinical reasoning capabilities, their integration into electronic health record systems faces a critical barrier: schema noncompliance. We evaluate three open-source models, Qwen2.5 7B, Llama 3.1 8B, and Gemma2 9B, via local deployment across 320

Automatic prompt optimization (APO) has been widely adopted to adapt vision-language models (VLMs) to downstream tasks without weight updates, yielding promising results. However, on multimodal tasks, the effectiveness of APO is fundamentally bottlenecked by a blind feedback channel: the optimizer reads the question, the prediction, and the gold answer, but never the input image on which the model failed, and therefore cannot diagnose visually grounded errors. As a remedy, we introduce Cross-Mod

Advanced Persistent Threats (APTs) are difficult to detect and interpret due to their multi-stage and stealthy nature. While recent autonomous defense systems leverage provenance graphs and learning-based models for detection and mitigation, their outputs remain largely machine-oriented and difficult for analysts to interpret. Large language models (LLMs) offer a promising interface for report generation, but often produce hallucinated or weakly grounded content. In this paper, we propose DeepFa

Language-model agents act through structured tool calls whose arguments carry different risks. Untrusted content may safely influence an email body but should not determine a recipient, account, command, or credential. Existing statistical methods typically control risk over the entire action, allowing failures in rare, high-risk fields to be obscured by benign arguments. We introduce role-stratified per-field conformal risk control, a calibration layer that wraps any per-field detector and sets

The introduction of new technologies, such as surgical robots, is driving the vision of a connected, smart operating room (OR). However, realizing this vision requires a deep understanding of surgical workflows, which relies on realistic datasets capturing the actions of all OR personnel from both full room and surgical field perspectives. Acquiring such data in real ORs is prohibitively challenging due to factors such as ethics committee approvals, limited space for camera installation, and ste

Due to the lack of systematic evaluations, we are not yet able to determine which AI-based Windows malware detector to deploy in production, since existing evaluations (i) differ in terms of data used for both training and testing; (ii) do not consider temporal analysis to showcase whether models withstand the passage of time; (iii) avoid security evaluations with adversarial attacks that could highlight their brittleness against content-injection attacks; and (iv) neglect the computational requ

Acoustic biomarkers show promise for detecting Alzheimer's Disease (AD), yet whether the cues driving diagnostic AI align with those salient to human listeners is underexplored across languages and genders, where pathological markers and perceptual strategies differ. We train models to predict clinical AD status (pathology) and human perceptual scores across Mandarin and Greek, male and female speakers. Using SHAP for interpretability and statistical models for validation, we compare feature imp