Environment

Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause autonomous agents to drift from user intent. Recent vision-based multimodal agents improve flexibility by operating directly over screenshots and natural language instructions, but planning and adaptation often remain internal, limiting users' ability to inspect, supervise, or correct system behavior. We present Plover, a pla

Artificial intelligence is transforming scientific research -- not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself. This transition constitutes, in the most precise sense of the term, the industrialization of research: a shift from a craft model, in which knowledge, method, and judgment are embedded in the researcher, to a pipeline model, in which these steps are decomposed, automated, and supervised. The US Department of Energy's Genesis Missi

From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer environments. These campaigns are successfully using ClickFix lures to steal ...

Humanoid control requires natural whole-body coordination, precise real-time responses to control signals, and robust generalization across diverse environmental contexts, making it a cornerstone for generalist embodied agents. Behavior Foundation Models (BFMs) have recently emerged as a promising solution to address these challenges by leveraging large-scale behavioral data to achieve superior expressiveness, versatility and generalization. However, despite growing interest in scaling BFMs to f

Companies coming to market are raising money at fastest pace this century.

Recent FPGAs have improved deep learning (DL) inference efficiency through dedicated tensor blocks and in-BRAM computation. ReRAM-based analog in-memory computing (IMC) pushes efficiency further, offering an order-of-magnitude improvement in compute density and energy efficiency over conventional digital logic by performing vector-matrix multiplication (VMM) directly within the ReRAM crossbar; prior work has integrated such IMC blocks into FPGAs for DL inference. However, conventional IMC design

Relocation of Education Department to Facilitate Redevelopment Katherine Knott Thu, 07/16/2026 - 11:30 AM ED will be leaving its headquarters regardless of where Energy is housed. We supported this resolution to pave the way for Washington to convert unused federal real estate into housing and greater tax revenue. Byline(s) Letters to the Editor

The double threat of air pollution and extreme heat is only going to get worse with climate change.

America’s power grid has plenty of new customers and no shortage of new ideas. What it lacks is a regulatory system capable of connecting the two. Artificial intelligence data centers, advanced manufacturing, and cryptocurrency operations are driving electricity demand sharply higher. Yet the rules for connecting new power sources and major users remain slow, fragmented, ... Lightning in a Bottleneck: How Regulatory Gridlock Is Choking America’s Energy Boom The post Lightning in a Bottleneck: Ho

[Sponsored] As operating environments grow more complex, Link 16 provides instantaneous, mission-wide connectivity to ensure no aircraft flies alone.

The deployment of autonomous cyber-physical systems in safety-critical environments requires closed-loop control strategies (i.e., policies) that are not only performant but also provably safe and robust. While learning-based methodologies such as Reinforcement Learning offer flexible and scalable approaches to automatically synthesize such controllers, they typically lack the formal guarantees necessary for safe deployment. To bridge this gap, we propose a novel simulation-based methodology to

Commenters discuss the environmental impact of AI data centres and the need for greater transparency — join the debate

Businessman Kevin O'Leary and Fox News are being sued by a group opposed to data center construction in Utah, alleging it aired false statements about their funding. The suit, brought against the network and television pundit by Alliance for a Better Utah, Elevate Strategies, Gabrielle Finlayson, Taylor Knuth and Josh Kanter, alleges that O'Leary used the...

Lila is betting that science, not the internet, is the last untapped source of training data. We went to find out what that actually looks like in a room full of robots.

The U.S. previously tried to incorporate permanent daylight saving time for a trial period from between 1974 and 1975. The experiment occurred under former President Nixon, who signed the Emergency Daylight Saving Time Energy Conservation Act into law in an effort to conserve fuel following the Arab oil embargo in 1973. However, the measure was...

Schneider Electric, an energy management and industrial automation company, believes Africa is preparing for it with the wrong question.

Courts have long let utilities seize private property to build transmission lines. Does that hold if the power flows to a single data center?

In the eastern Indian Ocean, south of Java in the vast sea stretching toward Australia, a fishing vessel slightly alters its course while operating near the boundary of its authorized fishing ground. Nothing appears unusual on deck. Nets remain in the water. Engines maintain a steady speed. To the crew, it is an ordinary day at sea. Yet hundreds of kilometers above, satellites continuously record the vessel’s position. At Indonesia’s Marine and Fisheries Resources Surveillance Station in Cilacap

What GAO Found A Secretary of Energy memorandum directed revisions to the Department of Energy’s (DOE) construction order (known as 413.3B) to (1) allow increased delegation of approval authority for projects estimated to cost up to $300 million; and (2) limit independent reviews for projects estimated to cost between $300 million and $1 billion. As of January 2026, DOE and the National Nuclear Security Administration (NNSA) were managing 80 capital asset projects at laboratories and sites where

Following the excitement generated by its "Be Seen. Be Hot."...

Circus SE (WKN: A2YN35 / ISIN: DE000A2YN355 / XETRA: CA1), today announces the commencement of live operations of its robotic-based troop supply technology with the 3rd Army Corps of the Ukrainian Ground Forces in the Kyiv area – marking the first ever use of autonomous meal supply systems within an active conflict environment.

Australia is a country highly vulnerable to the impacts of climate change, with the weathered, arid continent frequently buffeted by fires, floods, heatwaves and storms. It is also one of the largest exporters globally of fossil fuels, coal and gas. Situated close to Pacific Islands existentially threatened by climate-fuelled rising seas, Australia is a constitutional democracy with an active civil society, an abiding commitment to the rule of international law and this year holds the role of “P

With India lagging in the technology, officials are embracing giant data centers. But critics say the megaprojects will use up energy and water, without providing long-term jobs.

Companies coming to market raise money at fastest pace this century, although many stocks perform poorly later

arXiv:2607.13443v1 Announce Type: new Abstract: Sovereign AI has become a strategic priority across the Global South, with over \$200 billion in state-led commitments announced between 2024 and 2026. Yet the physical infrastructure that compute sovereignty demands, above all data centers, imposes water, energy, and carbon costs that fall hardest on countries least equipped to absorb them. This paper presents a comparative environmental stress analysis across four cases: the United Arab Emirates,

arXiv:2607.13230v1 Announce Type: cross Abstract: Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and interact with third-party services. This paper develops an AI-native mathematical framework for underwriting, pricing, and contract design for agentic AI deployments. A deployment is represented by a risk state that captures autonomy level, operational authority, permission exposure, governance maturity,

Xiaomi on Wednesday unveiled Xiaomi-Robotics-U0, a 38-billion-parameter multimodal autoregressive foundation model for embodied AI. The company said the model unifies four core capabilities within a single framework: embodied scene generation, embodied transfer, robot interaction video generation, and general-purpose image generation and editing. According to Xiaomi, the model can generate robot-ready environments from text prompts, adapt […]

Mastercard is opening an agentic AI sandbox in the UK, to help banks and retaillers explore, test and validate use cases before introducing them into production

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

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

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

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

Reflections on a warming planet

Reflections on a warming planet

Confidence score determines how to utilise outputs.

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

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

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

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