Korean researchers have developed a hierarchical AI technology that autonomously plans even complex, long-horizon tasks. The development of this hierarchical task-planning AI technology, which reduces hallucinations and doubles the success rate, is expected to help robots and agents carry out long-term missions.Korean researchers have developed a hierarchical AI technology that autonomously plans even complex, long-horizon tasks. The development of this hierarchical task-planning AI technology, which reduces hallucinations and doubles the success rate, is expected to help robots and agents carry out long-term missions.Computer Sciences[#item_full_content]

People are increasingly choosing to limit or reject the use of AI tools, according to a new report published by the Digital Futures Institute at King’s College London and Responsible AI UK.People are increasingly choosing to limit or reject the use of AI tools, according to a new report published by the Digital Futures Institute at King’s College London and Responsible AI UK.Consumer & Gadgets[#item_full_content]

When Ying Zhang was a doctoral student at Virginia Tech, she spent years learning to think like an attacker—probing software for the hidden weaknesses that developers miss and malicious actors exploit.When Ying Zhang was a doctoral student at Virginia Tech, she spent years learning to think like an attacker—probing software for the hidden weaknesses that developers miss and malicious actors exploit.Machine learning & AI[#item_full_content]

Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralized finance (DeFi) smart contracts that are efficient and cost-effective, lowering computational costs, known jargonistically as “gas.” The work might address a key problem seen in blockchain-based financial systems.Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralized finance (DeFi) smart contracts that are efficient and cost-effective, lowering computational costs, known jargonistically as “gas.” The work might address a key problem seen in blockchain-based financial systems.Business[#item_full_content]

Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site. Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart and reassemble into something new, all with minimal human direction.Most people think of the waterfront as the edge of the city. A team of MIT researchers sees it as a dynamic, Lego-like construction site. Their new system, called “FloatForm,” is a swarm of small square robotic boats that assemble themselves into larger structures on the water, break apart and reassemble into something new, all with minimal human direction.[#item_full_content]

Launching an artificial intelligence tool to take notes and summarize important information from a virtual meeting can be alluring. Seconds after one of the agents attends an hour-long video conference, it can deliver a recap of key points and outline a to-do list for all the participants.Launching an artificial intelligence tool to take notes and summarize important information from a virtual meeting can be alluring. Seconds after one of the agents attends an hour-long video conference, it can deliver a recap of key points and outline a to-do list for all the participants.Machine learning & AI[#item_full_content]

Loons, gulls, puffins and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge into water to swim after prey, and leap back into the air to fly away.Loons, gulls, puffins and petrels are some of the 100 species of birds that can both fly and swim. These diving birds can plunge into water to swim after prey, and leap back into the air to fly away.[#item_full_content]

In creating a comprehensive, AI-enabled research agent for the biomedical sciences, Stanford University researchers hope to speed innovation by eliminating the tedium of scientific legwork. Biomni, an AI-powered, multiskilled biomedical research agent, is no mere chatbot. It is a full-fledged “co-scientist” capable of designing and developing complex research workflows, said Jure Leskovec, the Alfred and Rebecca Lin Professor and professor of computer science in the School of Engineering and senior author of the paper introducing Biomni in the journal Science.In creating a comprehensive, AI-enabled research agent for the biomedical sciences, Stanford University researchers hope to speed innovation by eliminating the tedium of scientific legwork. Biomni, an AI-powered, multiskilled biomedical research agent, is no mere chatbot. It is a full-fledged “co-scientist” capable of designing and developing complex research workflows, said Jure Leskovec, the Alfred and Rebecca Lin Professor and professor of computer science in the School of Engineering and senior author of the paper introducing Biomni in the journal Science.Hi Tech & Innovation[#item_full_content]

The New York Times, the Daily News and other media outlets are asking a federal judge to impose sanctions on OpenAI, escalating a fight over artificial intelligence and copyright that could shape the future of a struggling news industry.The New York Times, the Daily News and other media outlets are asking a federal judge to impose sanctions on OpenAI, escalating a fight over artificial intelligence and copyright that could shape the future of a struggling news industry.Internet[#item_full_content]

The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about their dangers. Most recently, its executives wrote about the threat posed by “recursive self-improvement.” This is the point at which AI systems can improve themselves, potentially leading to “superintelligence” far beyond human control.The US AI research company Anthropic has become known for building powerful AI models while simultaneously warning about their dangers. Most recently, its executives wrote about the threat posed by “recursive self-improvement.” This is the point at which AI systems can improve themselves, potentially leading to “superintelligence” far beyond human control.Machine learning & AI[#item_full_content]

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