Quadruped robots integrating manipulators could potentially tackle tasks that entail manipulating objects while swiftly moving around in their surrounding environment. These include tasks such as collecting the trash around the house, collecting specific objects and bringing them to humans or depositing target items at specific locations.Quadruped robots integrating manipulators could potentially tackle tasks that entail manipulating objects while swiftly moving around in their surrounding environment. These include tasks such as collecting the trash around the house, collecting specific objects and bringing them to humans or depositing target items at specific locations.Robotics[#item_full_content]

Technologies based on artificial intelligence (AI) are already affecting our everyday lives—from the systems that facilitate movie and music selections to language assistants that formulate emails. But what developments will come along in the coming years?Technologies based on artificial intelligence (AI) are already affecting our everyday lives—from the systems that facilitate movie and music selections to language assistants that formulate emails. But what developments will come along in the coming years?Machine learning & AI[#item_full_content]

If you use social media, you’ve likely come across deepfakes. These are video or audio clips of politicians, celebrities or others manipulated using artificial intelligence (AI) to make it appear like the person is saying or doing something they haven’t actually said or done.If you use social media, you’ve likely come across deepfakes. These are video or audio clips of politicians, celebrities or others manipulated using artificial intelligence (AI) to make it appear like the person is saying or doing something they haven’t actually said or done.Machine learning & AI[#item_full_content]

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]