A fully automated warehouse system is changing the way we shop for groceries. GROCERIES IN 5 MIN: Imagine a grocery store where your entire order is picked, packed and ready for delivery in just five minutes without a single human hand touching your food. BRAVE NEW WORLD: Anthropic – the company behind the artificial intelligence platform Claude – anticipates that digital AI employees will appear on corporate networks in the next year, the organization's top security leader informed Axios. THESE FUELS ARE OUT: Imagine powering your boat not with gasoline but with clean hydrogen fuel. That's exactly what Yamaha, together with Roush Industries and Regulator Marine, is working on right now.

The U.S. still has its sights on winning the global AI race. First stop: Commandeering AI manufacturing. Announced just last week, a 500 billion infrastructure investment from artificial intelligence giant Nvidia will bring domestic AI manufacturing to the U.S. -- that's half a trillion dollars going toward mass production of the the country's own AI supercomputers as well as NVIDIA's Blackwell chips. The AI supercomputers will take over a million square feet of manufacturing space in Texas, while factories and manufacturing partners across Arizona -- operated by the Taiwan Semiconductor Manufacturing Co., which landed a similar deal in March -- will be tasked with building and testing chips. Proponents say it's a welcome investment in the country's growing AI economy, potentially boosting jobs and aiding in the development of an AI workforce.

Drones could be used for NHS-related missions in remote areas, inspecting offshore wind turbines and supplying oil rigs by 2026 as part of a new regulatory regime in the UK. David Willetts, the head of a new government unit helping to deploy new technologies in Britain, said there were obvious situations where drones could be used if the changes go ahead next year. Ministers announced plans this month to allow drones to fly long distances without their operators seeing them. Drones cannot be flown "beyond visual line of sight" under current regulations, making their use for lengthy journeys impossible. In an interview with the Guardian, Lord Willetts, chair of the Regulatory Innovation Office (RIO), said the changes could come as soon as 2026, but that they would apply in "atypical" aviation environments at first, which would mean remote areas and over open water. Referring to the NHS, Willetts said there was potentially a huge market for drone operators.

We propose a scalable, approximate inference hypernetwork framework for a general model of history-dependent processes. The flexible data model is based on a neural ordinary differential equation (NODE) representing the evolution of internal states together with a trainable observation model subcomponent. The posterior distribution corresponding to the data model parameters (weights and biases) follows a stochastic differential equation with a drift term related to the score of the posterior that is learned jointly with the data model parameters. This Langevin sampling approach offers flexibility in balancing the computational budget between the evaluation cost of the data model and the approximation of the posterior density of its parameters. We demonstrate performance of the hypernetwork on chemical reaction and material physics data and compare it to mean-field variational inference.

Reachy 2 is touted as a "lab partner for the AI era." Director James Cameron attends the "Avatar: The Way Of Water" World Premiere at Odeon Luxe Leicester Square in 2022 in London, England. 'I'LL BE BACK': James Cameron's stance on artificial intelligence has evolved over the past few years, and he feels Hollywood needs to embrace it in a few different ways. MADE IN AMERICA: Nvidia on Monday announced plans to manufacture its artificial intelligence supercomputers entirely in the U.S. for the first time. RIDEABLE 4-LEGGED ROOT: Kawasaki Heavy Industries has introduced something that feels straight out of a video game: CORLEO, a hydrogen-powered, four-legged robot prototype designed to be ridden by humans.

In order to reduce the cost of experimental evaluation for models, we introduce a computational theory of evaluation for prediction and decision models: build evaluation model to accelerate the evaluation procedures. We prove upper bounds of generalized error and generalized causal effect error of given evaluation models. We also prove efficiency, and consistency to estimated causal effect from deployed subject to evaluation metric by prediction. To learn evaluation models, we propose a meta-learner to handle heterogeneous evaluation subjects space problem. Comparing with existed evaluation approaches, our (conditional) evaluation model reduced 24.1\%-99.0\% evaluation errors across 12 scenes, including individual medicine, scientific simulation, social experiment, business activity, and quantum trade. The evaluation time is reduced 3-7 order of magnitude comparing with experiments or simulations.

It's one of the most profound questions in science – did life ever exist on Mars? Now, experts have unearthed evidence that the Red Planet was once habitable. Scientists have found carbon residue in Martian rocks, indicating that an ancient carbon cycle existed. And it means the Red Planet was likely once warm enough to sustain life. Researchers have long believed that, billions of years ago, Mars had a thick, carbon dioxide-rich atmosphere with liquid water on its surface.

Microbes living beneath Antarctica's ice sheet may survive on methane generated by geothermal heat rising from deep below Earth's surface. The discovery could have implications for assessing the potential for life to survive on icy worlds beyond Earth. "These could be hotspots for microbes that are adapted to live in these areas," says Gavin Piccione at Brown University in Rhode Island. We already know that there is methane beneath Antarctica's ice sheet.

A new report from the International Energy Agency digs into the details of energy and AI, and I think it's worth looking at some of the data to help clear things up. Here are four charts from the report that sum up the crucial points about AI and energy demand. This point is the most obvious, but it bears repeating: AI is exploding, and it's going to lead to higher energy demand from data centers. "AI has gone from an academic pursuit to an industry with trillions of dollars at stake," as the IEA report's executive summary puts it. Data centers used less than 300 terawatt-hours of electricity in 2020.

U.K. government officials have raised private concerns that Chinese-manufactured drones are being used to take high resolution images of critical national infrastructure sites in the U.K., going against guidance from the country's security services. National Grid PLC, which operates the nation's electricity and gas networks, uses drones made by Shenzhen-based SZ DJI Technology to take videos, photographs and thermal images of its electricity substations, according to information posted on its website as recently as September. DJI drones have also been used to survey the construction of Electricite de France SA's Hinkley Point C nuclear power plant, to inspect solar farms, and by Thames Water to monitor reservoirs and the water supply. Deployment of the drones comes despite a warning in 2023 by the U.K.'s National Protective Security Authority (NPSA), part of the domestic security service MI5, that British organizations managing sensitive sites should be wary of using drones "manufactured in countries with coercive data sharing practices," a reference to China. Moreover, in 2022, the U.S. Department of Defense included DJI on a blacklist of Chinese firms with military ties.