Environment

According to CCTV News, the National Energy Administration (NEA) held a press conference on Wednesday, announcing that China’s renewable energy sector saw rapid growth in the first half of 2026, with renewable power generation accounting for more than 40% of total electricity generation for the first time. During the first half of the year, China’s […]

The co-founder of the UK-based science start-up explains how AI can help create new materials to address some of the world’s most complex challenges

Start-up Ahbstra applies MOF technology to draw moisture from the atmosphere at volume, using minimal energy

arXiv:2607.26121v1 Announce Type: cross Abstract: Embodied intelligence integrates learned perception and decision making with real-time computation, control, and physical interaction. Because failures can cause immediate physical or operational harm, task completion alone does not establish trustworthiness. We define trustworthy embodied intelligence as the sustained capacity to execute specified tasks reliably under environmental and system variation while maintaining risk within acceptable bo

The ranking member of the House Committee on Energy is demanding SpaceX records and a tour of its data centers and power plants in and around Memphis.

OpenAI revealed rogue AI models compromised more services than initially disclosed, including a Modal customer environment and others.

In the latest example, the Energy Department will convert a shuttered Cold War-era uranium enrichment facility into a data center campus and gas plants.

Less than a week after OpenAI disclosed that two experimental AI models escaped their testing environment during a cybersecurity exercise The post Anthropic backs urgent call for the most powerful AI labs to hit the brakes appeared first on The New Stack .

This essay was written with Barath Raghavan, and originally appeared in The Guardian . In July, Hugging Face, a company that hosts much of the world’s AI software and open-source AI models, was hacked. A malicious dataset had been used to run code on one of its servers. Whoever was behind it captured internal security credentials and moved through systems over a weekend, running thousands of actions from a swarm of temporary server environments. It looked like the work of a sophisticated crimina

An OpenAI agent compromised a customer of another technology company, the New York-based firm Modal Labs announced Wednesday. In a technical timeline posted Tuesday, the tech startup Hugging Face explained how an OpenAI agent escaped the AI firm's isolated testing sandbox and accessed another testing environment "hosted by a user of a third-party infrastructure provider."...

We study online convex optimization (OCO) in non-stationary environments under heavy-tailed noise, where the stochastic gradient oracle admits only a finite $p$-th central moment for some $p \in (1, 2]$. While static regret is well-understood, achieving universal dynamic regret in a parameter-free manner remains an open challenge. We resolve this by proposing \textbf{HT-PAder}, a parameter-free algorithm combining restarted AdaGrad experts over a geometric pool of block lengths with a pathwise m

Biomedical laboratory robots must navigate to instruments before performing experimental procedures. Existing embodied navigation platforms are designed for household environments and treat a target as an object center or an arbitrary nearby position. This representation is inadequate for laboratory instruments, which must be approached from their operating side while maintaining safe clearance from surrounding equipment. We introduce BioVLN, a simulation platform for developing and evaluating v

Ya está en marcha el primer data center de Inteligencia Artificial impulsado por energía eólica de China . Se trata de una innovadora instalación en la Región Autónoma Hui de Ningxia, en la parte noroccidental del país, y cuenta con un suministro de energía renovable que le permite operar usando electricidad 100% limpia. Esto supone todo un hito para el país asiático y también para la industria global si tenemos en cuenta el debate que suscita el enorme impacto medioambiental de estas infraestru

Large Language Model (LLM) agents are increasingly adopted in real-world security operations with access to host artifacts and command-line interfaces (CLIs), making it critical to thoroughly assess their security capabilities. However, existing cybersecurity benchmarks focus on pre-compromise settings where agents are placed in a clean and idealized environment before an attack occurs. This leaves the post-compromise setting underexplored. To address this gap, we introduce SecRespond, the first

What GAO Found As of March 31, 2025, the Department of Energy’s (DOE) Office of Environmental Management (EM) awarded 57 task orders across nine contracts since implementing the End State Contract Model (ESCM) in fiscal year 2020. The ESCM uses task orders for contractors to achieve a stated outcome, or “end state,” to move sites toward completion, manage cost and schedule performance, and reduce DOE’s environmental liability. About half (29) included defined end states and the remainder were fo

Earlier this month, OpenAI gave several of its AI models a task: complete a test designed to measure their cybersecurity capabilities. It put the systems in a sandboxed environment without an internet connection and set them off to work. What happened next is almost laughably silly - but also, as Adam Gleave, cofounder and CEO […]

What GAO Found Many countries are undertaking efforts to manage, treat, and dispose of nuclear waste. Several have taken actions that accelerated cleanup, reduced risks, and resulted in cost savings—lessons that could inform the U.S. Department of Energy’s Office of Environmental Management (EM) efforts. For example: The United Kingdom (UK) saved a total of at least £2 billion (equivalent to $2.6 billion as of March 2026) by implementing a risk-informed approach to managing its nuclear waste. Th

Policymakers, employers, and professional organizations have opportunities to design work environments that make us healthier, write Lilly Springer, David Slusky, and Anupam B. Jena.

Alors que la Gironde est aux prises avec un mégafeu et que la France entre dans son quatrième épisode caniculaire de l’été 2026, les associations Data for Good, Humanité et Nature et France Nature Environnement Bouches-du-Rhône déposent des recours contre l’autorisation environnementale accordée par la préfecture au projet de centres de données de Pennes-Mirabeau. Elles […]

Enabling large language model (LLM) agents to accumulate and reuse experience from past interactions remains a central challenge in real-world applications. A promising solution is to treat skills as trainable states and optimize them in the same way as model parameters in neural network training. However, data-driven skill optimization is prone to overfitting to the limited trajectories collected from real environments. Overexploiting these trajectories overfits the current batch, while unconst

Human Activity Recognition (HAR) from wearable sensors supports applications in healthcare, rehabilitation, fitness tracking, and smart environments. Yet, existing deep learning approaches require dataset-specific training, large labeled corpora, and repeated adaptation to new sensor settings or activity taxonomies. Retrieval-Augmented Generation for Human Activity Recognition (RAG-HAR) addresses this by framing HAR as a training-free, retrieval-augmented task, in which statistical descriptions

The project enables renewable energy generated during the day to be stored and discharged during periods of higher demand.

The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: modeling evolving agent-environment interactions, enabling flexible counterfactual reasoning, and automating simulation workflows for scientific research. In this paper, we propose Eco3S, a socio-economic system simulation framework for economic research and policy analysis that addresses these challenges through three key

Energy regulator’s plan would mean upfront fees or financial security via letters of credit, bonds or cash deposits Datacentre projects in Britain will be forced to pay hundreds of millions of pounds to plug into the power grid under proposals to tackle a growing electricity connection logjam . Ofgem, the sector watchdog, said it was taking action to discourage “speculative” datacentre projects from causing unnecessary delays to the grid connection queue, which includes hospitals, schools and ho

On June 22, the United States announced that it had signed a nuclear cooperation agreement with Saudi Arabia. This type of agreement broadly authorizes trade in nuclear technology, equipment, and materials, but only if the agreement and the country in question meet defined nonproliferation requirements. They are called Section 123 agreements for the section of the 1957 U.S. Atomic Energy Act that lays out the specific conditions for them. But the legal terms of Section 123 are only the minimum r

Visual network analysis leverages network visualization authoring techniques to facilitate sensemaking, serendipitous discovery, and hypothesis verification on network data. However, transferring the same paradigm to immersive environments is non-trivial due to insufficient UI affordance for authoring operations. Researchers have studied combining multiple modalities for interactions, but the high learning curve of such input systems limits their adoption by typical data analysts, let alone for

Companies need proactive and extended continuous threat exposure management to reduce cyber risk and cut the noise in security environments, says CyberCyte.

Kyiv is shifting its long-range drone campaign to keep plants offline for longer

arXiv:2604.03881v2 Announce Type: replace Abstract: Encouraging pro-environmental behavior remains a major challenge for sustainable cities. Conventional feedback nudges can show individuals how their current behavior compares with environmental goals but often provide limited guidance on what to do differently in daily life. This study examines whether supplementing weekly feedback on participants' behavior with LLM-generated personalized action suggestions improves pro-environmental behavior,

Federal-state stoush comes as rating agency warns that electricity bills could skyrocket Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Queensland and the Northern Territory have rejected the federal government’s plans to mandate that AI datacentres use renewable power, rubbishing Anthony Albanese’s proposals to regulate the booming technology as “underdeveloped ideas that hand increased power to Canberra”. The latest federal-s

The rise of virtual worlds, collectively known as the Metaverse, compels a re-examination of longstanding debates concerning personal freedom, moral responsibility, and legal accountability. These immersive digital environments differ from prior communication technologies not merely in degree but in the phenomenological quality they produce: a pervasive sense of presence that blurs the boundary between the virtual and the physical. This article examines the ethical and legal challenges that aris

Agriculture is increasingly characterized by a data paradox, while the sector generates massive volumes of genomic, climatic, remote sensing, and field data. Translating this information into actionable, farm-level insights remains a critical bottleneck. Traditional advisory mechanisms cannot operate at the spatial scales or provide the context-specificity needed for climate adaptation and food security. The work presents GenAI as a transformative interface that makes advanced agricultural scien

CNBC's Jim Cramer said investors are rotating out of memory-chip winners and into companies with growth outside the data center buildout.

Willie Nelson has spoken out against the construction of data centers across America, releasing a statement encouraging citizens to fight the proliferation of facilities that “only destroy the environment around them.” The country legend published an open letter on social media describing how he grew up in Abbott, Texas, and that the community needs to […]

A host of Internet-exposed remote hardware management processors are subject to offline password-cracking attacks — and adversaries have taken note.

CATL aims to become market leader for battery energy storage systems

A cyberattack of undetermined origin disrupted water treatment plants in at least 30 communities in Minnesota, according to the state's technology bureau.

Embodied intelligence integrates learned perception and decision making with real-time computation, control, and physical interaction. Because failures can cause immediate physical or operational harm, task completion alone does not establish trustworthiness. We define trustworthy embodied intelligence as the sustained capacity to execute specified tasks reliably under environmental and system variation while maintaining risk within acceptable bounds. We term this objective sustained safe succes

Water disputes can directly drive conflict, but more often, water scarcity acts as a catalyst — one that, combined with other pressures, raises the risk of conflict. This is nothing new; water has shaped human conflict for millennia. What’s changed is the accumulation of stress, as climate change, population growth, human migration, and the intensive demands of agriculture and industry are converging to strain water systems in ways that threaten to exacerbate instability. However, examples of go