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]

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]

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]

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to achieve artificial general intelligence, engineers have centralized AI development and training to accelerate progress, even at the risk of single-point failures and data privacy violations. Alternatively, decentralized frameworks have struggled to match the robustness of centralized systems—what if one of the heads has bad intentions?Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to achieve artificial general intelligence, engineers have centralized AI development and training to accelerate progress, even at the risk of single-point failures and data privacy violations. Alternatively, decentralized frameworks have struggled to match the robustness of centralized systems—what if one of the heads has bad intentions?Machine learning & AI[#item_full_content]

Across aging societies, a gap is widening: People live longer, but families grow smaller. A rising number could reach the end of life, unable to make their own medical decisions and with no next of kin or trusted friend to speak for them. Life-or-death decisions then lie in the hands of a stranger.Across aging societies, a gap is widening: People live longer, but families grow smaller. A rising number could reach the end of life, unable to make their own medical decisions and with no next of kin or trusted friend to speak for them. Life-or-death decisions then lie in the hands of a stranger.Machine learning & AI[#item_full_content]

The era of researchers manually searching for two-dimensional semiconductors, which are drawing attention as next-generation AI semiconductors, is coming to an end. KAIST researchers have automated semiconductor screening and device fabrication, analyzed thousands of devices, and revealed the relationship between thickness and performance that had long been difficult to identify.The era of researchers manually searching for two-dimensional semiconductors, which are drawing attention as next-generation AI semiconductors, is coming to an end. KAIST researchers have automated semiconductor screening and device fabrication, analyzed thousands of devices, and revealed the relationship between thickness and performance that had long been difficult to identify.Electronics & Semiconductors[#item_full_content]

Almost half of Australian adults have used generative artificial intelligence (GAI), with most users reporting it improves how they do their jobs or study, according to new research by the Australian National University (ANU) in partnership with Google. The report, “AI Adoption in Australia,” finds that concerns about personal data and a lack of training and skills are barriers to some Australians using GAI systems.Almost half of Australian adults have used generative artificial intelligence (GAI), with most users reporting it improves how they do their jobs or study, according to new research by the Australian National University (ANU) in partnership with Google. The report, “AI Adoption in Australia,” finds that concerns about personal data and a lack of training and skills are barriers to some Australians using GAI systems.Consumer & Gadgets[#item_full_content]