When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.Robotics[#item_full_content]
When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.When people work in pairs or teams, they can often solve a wider range of problems, completing some tasks faster and more efficiently than they would alone. To assist users similarly to how other humans would, robots should be able to rapidly interpret human behaviors and commands, using their predictions to plan and precisely execute helpful actions.[#item_full_content]
Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and effective as possible with the goal of improving personalized treatment recommendations in mental health and other fields.Scientific advancements—including understanding health conditions and developing new treatments—hinge on data and its implications. Statistician Alex Luedtke is developing new methods to make data analysis as efficient and effective as possible with the goal of improving personalized treatment recommendations in mental health and other fields.Machine learning & AI[#item_full_content]
People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that many people’s ability to spot AI-generated content is limited.People gave the highest ratings to AI-generated stories they were told had been written by humans and were unable to tell the difference between human- and AI-created stories, according to new research published in Judgement and Decision Making. The study, led by researchers at Villanova University, U.S., adds to the growing body of evidence that many people’s ability to spot AI-generated content is limited.Consumer & Gadgets[#item_full_content]
The World Bank on Tuesday called on developing countries to embrace artificial intelligence tools to deliver better governance outcomes, warning that they risk being left behind if they fail to do so.The World Bank on Tuesday called on developing countries to embrace artificial intelligence tools to deliver better governance outcomes, warning that they risk being left behind if they fail to do so.Machine learning & AI[#item_full_content]
Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.Robotics[#item_full_content]
Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.Robots are gradually making their way into a variety of settings, ranging from households to public spaces, offices, factories and health care facilities. Despite their potential, however, many existing robots do not perform as well in dynamic and unpredictable real-world environments as they do during controlled laboratory tests.[#item_full_content]
From parcel delivery routes and factory production schedules to hospital duty rosters, many real-world planning tasks require solutions that satisfy numerous operational constraints. KAIST researchers led by Professor Min-Soo Kim from the School of Computing have developed RL-SPH (Reinforcement Learning-based Start Primal Heuristic), a reinforcement learning technique that trains AI to independently produce feasible plans without relying on an external solver.From parcel delivery routes and factory production schedules to hospital duty rosters, many real-world planning tasks require solutions that satisfy numerous operational constraints. KAIST researchers led by Professor Min-Soo Kim from the School of Computing have developed RL-SPH (Reinforcement Learning-based Start Primal Heuristic), a reinforcement learning technique that trains AI to independently produce feasible plans without relying on an external solver.Hi Tech & Innovation[#item_full_content]
Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.Some physical injuries and neurological conditions can temporarily or permanently impair movement, leaving some people unable to speak, type on keyboards or use electronic devices. Brain-computer interfaces (BCIs), systems that can decode brain activity patterns and convert them into computer commands or written text, could be of great value for paralyzed patients.Hi Tech & Innovation[#item_full_content]
From doctors diagnosing symptoms to judges intervening in court cases, humans make complex decisions every day. Increasingly, artificial intelligence tools are being used to help with those decisions.From doctors diagnosing symptoms to judges intervening in court cases, humans make complex decisions every day. Increasingly, artificial intelligence tools are being used to help with those decisions.Consumer & Gadgets[#item_full_content]
