PCWorld's battery testing reveals AMD's Ryzen AI 7 445 processor delivers disappointing battery life performance in laptops like the Acer Swift Go 14 AI. The chip ranked last in streaming tests and efficiency scores, falling behind Qualcomm's Snapdragon X Elite and Intel's Core Ultra processors. With Ryzen AI 400 processors appearing in about a third of productivity laptops, users may want to consider Intel or Qualcomm alternatives for better battery performance. AMD's Ryzen mobile processors appear in about a third of all productivity laptops sold today. So, how does the Ryzen AI 400, AMD's latest mobile processor, actually hold up in real-world battery tests?

Accurate energy demand forecasting is essential for the reliable operation and planning of modern sustainable energy systems. Spatial-temporal graph neural networks (STGNNs) have recently achieved strong performance in point forecasting by jointly modeling temporal dynamics and relational dependencies across interconnected energy nodes. However, in real-world energy systems, accurate point forecasts alone are insufficient, as operators also require reliable uncertainty estimates to support risk-aware decision-making, grid stability, and operational planning under uncertainty. Conformal prediction provides a principled and model-agnostic framework for uncertainty quantification with statistical coverage guarantees, making it particularly attractive for safety-critical energy applications. However, existing conformal prediction approaches often fail to fully capture the complex spatial-temporal structure of energy systems. To address these limitations, we propose STOIC (Spatial-Temporal Graph Conformal Prediction with In-Context Learning), a novel framework that integrates graph-based forecasting with the zero-shot calibration capabilities of tabular foundation models. STOIC first generates point forecasts using an STGNN and subsequently reformulates spatial-temporal residuals into a tabular representation suitable for in-context learning. Leveraging a tabular foundation model, STOIC calibrates prediction intervals without task-specific retraining, effectively capturing both sequential and relational dependencies. We evaluate STOIC on five diverse benchmarks, including synthetic simulations as well as real-world electricity and district heating networks. Across all datasets, STOIC consistently outperforms existing conformal prediction baselines, delivering more reliable and robust uncertainty estimates for complex graph-structured energy time series.

Power grid operators in the United States are warning that a dangerous heatwave could put more strain on an electric grid already under pressure from surging energy consumption. A stretch of extreme heat is expected to intensify across much of the central and eastern parts of the country this week, peaking from Tuesday through Thursday. Temperatures this week are forecasted to climb above 38 degrees Celsius (100 degrees Fahrenheit) from Boston to Washington, DC, pushing up demand for air conditioning. The heatwave coincides with two major events on the US calendar. Saturday's holiday marks the 250th anniversary of the US's independence, and millions are expected to gather for barbecues, parades and fireworks.

The pointy'trullo' is making a comeback thanks to its clever cooling attributes. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Tourists stand among the trulli of Alberobello, the whitewashed limestone houses with the typical conical roofs. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

When you purchase through links in our articles, we may earn a small commission. It's solar-powered, wire-free, and supports local storage so no subscription needed. The Tapo MagCam 2K+ (also known as the Tapo C425) is a standout security camera for three big reasons: it's wire-free with solar-powered battery, it has a magnetic mount for easy installation, and it supports local storage so you don't have to pay a subscription fee. Its solar-powered battery is the best thing about it. The panel is separate from the camera, so you can mount the camera wherever you need to capture exactly the right footage, and you can mount the solar panel up to 13 feet away so that it gets optimal sun exposure.

Plus: The US House has passed new youth online safety legislation. AI agents are not your "coworkers" Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool--one that your company nonetheless calls Alex, an "employee" with a title and defined responsibilities. How well do you think you would work with Alex? If you're anything like the managers studied by Boston University professor Emma Wiles, treating that AI as a coworker would lead you to do a worse job. They caught 18% fewer errors when the work was attributed to an agentic AI employee rather than a chatbot. This is an alarming glimpse of the future Silicon Valley is hurling us toward.

Predictive models are increasingly embedded in operational decision-making, yet standard explanation methods typically explain forecasts rather than the decisions those forecasts induce. This distinction is important in predict-then-optimize systems: large forecast changes may leave the optimizer's action unchanged, while small changes can alter the selected decision and its realized value. We propose Decision Value Attribution (DVA), a Shapley-based framework for attributing the value of a fixed prediction--optimization pipeline. The framework defines cooperative games whose payoff is the downstream decision value, allowing the players to be information sources, optimization or design parameters, or both. We present three variants: InfoDVA attributes value to features, DesignDVA attributes value to operational configurations, and Decision-Value Interactions (DVI) quantifies how information and design jointly create value. We further distinguish post-DVA, which evaluates decisions using realized outcomes, from pre-DVA, which evaluates decisions under the model's full prediction. This separation turns attribution into a decision-level diagnostic of whether the model's operational beliefs align with realized performance. The resulting attributions are expressed in the units of the operational objective and decompose the gain or loss relative to a baseline. Case studies in electricity storage arbitrage and emergency medical service coverage show that predictive explanations can be poor proxies for operational value, that DVA can guide targeted information-control interventions, and that optimization configurations determine when predictive information is decision-relevant.

This work presents a new bidirectional autoregressive latent diffusion approach for predicting the evolution of multiple fields (mass density, pressure, velocity, and magnetic field components) for magnetohydrodynamics. We show that this bidirectional flow can be used as a self-supervised consistency metric for uncertainty and error estimation, which enables the model to estimate test-time uncertainty and error without access to ground truth, by comparing how closely flowing forwards and backwards in time returns to the same predicted fields. We also demonstrate this methods's potential to serve as a non-invasive plasma diagnostic, and show how adaptive feedback can be used to make the model more robust based on sparse diagnostics or limited views/measurements.

'We're up against forces that have all the money in the world': Erin Brockovich on her battle against AI datacentres In 1993, she squeezed a $333m settlement from a Californian energy company in a scandal over contaminated water. Three decades later, she has a new target in her sights - and it's global When Erin Brockovich woke to find 30 emails from people from the same town, she realised something was going on. People email Brockovich all the time because of what happened in 1993, when she was instrumental in suing Pacific Gas and Electric Company (PG&E) on behalf of residents of the town of Hinkley, California, whose groundwater had been contaminated. The case resulted in a settlement of $333m - then the largest ever payout for a direct-action lawsuit. When she was immortalised by Julia Roberts in the 2000 film Erin Brockovich, she became the hero we didn't know we needed, a modern day Joan of Arc.

South Korean President Lee Jae Myung delivers a speech on June 25. SEOUL - South Korea is set to unveil three "mega-projects" to fuel its next growth phase, including a new semiconductor hub in the southwest that local media say could attract investments by Samsung and SK spanning hundreds of billions of dollars over several years. The announcement would mark President Lee Jae Myung's boldest push yet to align South Korea's AI and chip ambitions with his pledge to narrow regional disparities and revive economies beyond the Seoul metropolitan area. Lee will preside over the event, framed as a national "great leap" due to be unveiled around 2 p.m., his office said, with ministries covering industry, science, climate and transport set to outline policy support. Samsung Electronics and SK are expected to present investment plans, and their chairmen, Jay Y. Lee and Chey Tae-won, are among business leaders tipped to attend by local media. Representatives of other firms including LG Electronics, HD Hyundai Robotics, Korea Electric Power Corp. and Korea Water Resources Corp. are also attending, Lee's office said.