A new machine-learning weather prediction model called GenCast can outperform the best traditional forecasting systems in at least some situations, according to a paper by Google DeepMind researchers published today in Nature.A new machine-learning weather prediction model called GenCast can outperform the best traditional forecasting systems in at least some situations, according to a paper by Google DeepMind researchers published today in Nature.Computer Sciences[#item_full_content]

The Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the discovery of materials for film capacitors—crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking performance.The Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the discovery of materials for film capacitors—crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking performance.Energy & Green Tech[#item_full_content]

In the age of AI, how we form relationships and communicate is changing. Dating apps, chatbots and digital avatars are increasingly common, offering us new ways to connect, communicate and even find love.In the age of AI, how we form relationships and communicate is changing. Dating apps, chatbots and digital avatars are increasingly common, offering us new ways to connect, communicate and even find love.Business[#item_full_content]

Car design is an iterative and proprietary process. Carmakers can spend several years on the design phase for a car, tweaking 3D forms in simulations before building out the most promising designs for physical testing. The details and specs of these tests, including the aerodynamics of a given car design, are typically not made public. Significant advances in performance, such as in fuel efficiency or electric vehicle range, can therefore be slow and siloed from company to company.Car design is an iterative and proprietary process. Carmakers can spend several years on the design phase for a car, tweaking 3D forms in simulations before building out the most promising designs for physical testing. The details and specs of these tests, including the aerodynamics of a given car design, are typically not made public. Significant advances in performance, such as in fuel efficiency or electric vehicle range, can therefore be slow and siloed from company to company.Automotive[#item_full_content]

OpenAI and military defense technology company Anduril Industries said Wednesday that they would work together to use artificial intelligence for “national security missions.”OpenAI and military defense technology company Anduril Industries said Wednesday that they would work together to use artificial intelligence for “national security missions.”Business[#item_full_content]

The largest artificial intelligence data center ever built by Facebook’s parent company Meta is coming to northeast Louisiana, the company said Wednesday, bringing hopes that the $10 billion facility will transform an economically neglected corner of the state.The largest artificial intelligence data center ever built by Facebook’s parent company Meta is coming to northeast Louisiana, the company said Wednesday, bringing hopes that the $10 billion facility will transform an economically neglected corner of the state.Business[#item_full_content]

In 2018, Google DeepMind’s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.In 2018, Google DeepMind’s AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid. Now, a team of Caltech researchers has developed an analogous algorithm for autonomous robots—a planning and decision-making control system that helps freely moving robots determine the best movements to make as they navigate the real world.Robotics[#item_full_content]

Researchers at CAMERA, the University of Bath’s Centre for Analysis of Motion, Entertainment and Research Applications, have developed open access software that analyzes motion capture data, without using markers. They have shown the markerless system to offer clinicians, sports coaches and physiotherapists an unobtrusive way of analyzing body movements from video footage that is comparable to using markers.Researchers at CAMERA, the University of Bath’s Centre for Analysis of Motion, Entertainment and Research Applications, have developed open access software that analyzes motion capture data, without using markers. They have shown the markerless system to offer clinicians, sports coaches and physiotherapists an unobtrusive way of analyzing body movements from video footage that is comparable to using markers.Software[#item_full_content]

Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error.Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual trial and error.Computer Sciences[#item_full_content]

Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is essential for the safety and efficiency of autonomous driving.Three-dimensional object detection is crucial for autonomous vehicles. It utilizes point cloud data generated by LiDAR to help autonomous vehicles identify surrounding objects. This technology is essential for the safety and efficiency of autonomous driving.Automotive[#item_full_content]