In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.[#item_full_content]
In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve. They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.Robotics[#item_full_content]
An octopus can bend one part of an arm around an obstacle while another reaches into a small crevice to grab an object. Reproducing that local control in a soft robot requires multiple actuators—components that turn energy into movement—together with their mounting hardware and connections.An octopus can bend one part of an arm around an obstacle while another reaches into a small crevice to grab an object. Reproducing that local control in a soft robot requires multiple actuators—components that turn energy into movement—together with their mounting hardware and connections.[#item_full_content]
For a service robot moving through an office, recognizing “furniture” is useful. When the robot has to plan a route or interact with objects, it also needs finer detail, such as whether that furniture is a chair, table or bookcase, and whether an opening is a door or a window. These distinctions can affect how a machine moves, avoids obstacles and decides what it can safely interact with.For a service robot moving through an office, recognizing “furniture” is useful. When the robot has to plan a route or interact with objects, it also needs finer detail, such as whether that furniture is a chair, table or bookcase, and whether an opening is a door or a window. These distinctions can affect how a machine moves, avoids obstacles and decides what it can safely interact with.Robotics[#item_full_content]
A new AI system that excels at challenging games with hidden information could someday help human decision-makers select strategies to outfox opponents in complicated situations like military maneuvers.A new AI system that excels at challenging games with hidden information could someday help human decision-makers select strategies to outfox opponents in complicated situations like military maneuvers.Computer Sciences[#item_full_content]
A new AI system that excels at challenging games with hidden information could someday help human decision-makers select strategies to outfox opponents in complicated situations like military maneuvers.A new AI system that excels at challenging games with hidden information could someday help human decision-makers select strategies to outfox opponents in complicated situations like military maneuvers.[#item_full_content]
Anyone who has used ChatGPT or another artificial intelligence chatbot has likely seen a disclaimer that its answers may be incorrect. Large language models are built to generate the most probable response to a prompt. Even when they lack reliable information, they may produce an answer that sounds convincing rather than acknowledge uncertainty.Anyone who has used ChatGPT or another artificial intelligence chatbot has likely seen a disclaimer that its answers may be incorrect. Large language models are built to generate the most probable response to a prompt. Even when they lack reliable information, they may produce an answer that sounds convincing rather than acknowledge uncertainty.Consumer & Gadgets[#item_full_content]
We are used to seeing images of humanoid robots clumsily walking, stumbling over objects and awkwardly freezing in place. Struggling with real-world movement is one of the biggest drawbacks of current robotics. But now a team of researchers has come up with a new system to make them move and react far more reliably, and they worked everything out on a bunch of soccer-playing robots.We are used to seeing images of humanoid robots clumsily walking, stumbling over objects and awkwardly freezing in place. Struggling with real-world movement is one of the biggest drawbacks of current robotics. But now a team of researchers has come up with a new system to make them move and react far more reliably, and they worked everything out on a bunch of soccer-playing robots.[#item_full_content]
We are used to seeing images of humanoid robots clumsily walking, stumbling over objects and awkwardly freezing in place. Struggling with real-world movement is one of the biggest drawbacks of current robotics. But now a team of researchers has come up with a new system to make them move and react far more reliably, and they worked everything out on a bunch of soccer-playing robots.We are used to seeing images of humanoid robots clumsily walking, stumbling over objects and awkwardly freezing in place. Struggling with real-world movement is one of the biggest drawbacks of current robotics. But now a team of researchers has come up with a new system to make them move and react far more reliably, and they worked everything out on a bunch of soccer-playing robots.Robotics[#item_full_content]
Before a new AI model reaches the public, its developers run it through a battery of tests known as “benchmarks,” which score it on everything from reasoning ability to how safe it is for people to use. Billions of investment dollars ride on these benchmark scores, and policymakers increasingly cite them to shape regulations and government procurement decisions that will guide the development of AI.Before a new AI model reaches the public, its developers run it through a battery of tests known as “benchmarks,” which score it on everything from reasoning ability to how safe it is for people to use. Billions of investment dollars ride on these benchmark scores, and policymakers increasingly cite them to shape regulations and government procurement decisions that will guide the development of AI.Computer Sciences[#item_full_content]
