Anthropic on Wednesday joined growing calls for the artificial intelligence industry to find ways to cushion people from the technology’s disruptions, announcing an initial $200 million investment to research AI’s impact on jobs and the economy.Anthropic on Wednesday joined growing calls for the artificial intelligence industry to find ways to cushion people from the technology’s disruptions, announcing an initial $200 million investment to research AI’s impact on jobs and the economy.Business[#item_full_content]
In her tiny apartment in South Korea, where she lives alone, 78-year-old Bang Chun-ja spends her days with a childlike AI-powered doll she says she prefers to people.In her tiny apartment in South Korea, where she lives alone, 78-year-old Bang Chun-ja spends her days with a childlike AI-powered doll she says she prefers to people.Robotics[#item_full_content]
Betting that people will soon grow more comfortable having artificial intelligence agents shop for groceries, plane tickets or diapers on their behalf, payments giant Visa said Wednesday that it has embedded its payment network inside of ChatGPT, empowering the chatbot to independently shop and complete transactions.Betting that people will soon grow more comfortable having artificial intelligence agents shop for groceries, plane tickets or diapers on their behalf, payments giant Visa said Wednesday that it has embedded its payment network inside of ChatGPT, empowering the chatbot to independently shop and complete transactions.Business[#item_full_content]
Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what learning is all about: thinking for themselves. Machine learning expert Jakub Mačina is therefore developing models that don’t provide pupils with finished solutions, but rather help them develop their understanding step by step.Many AI systems answer questions in a matter of seconds—and, in the process, often prevent people from doing exactly what learning is all about: thinking for themselves. Machine learning expert Jakub Mačina is therefore developing models that don’t provide pupils with finished solutions, but rather help them develop their understanding step by step.Consumer & Gadgets[#item_full_content]
A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence, along with Ph.D. candidates Taesung Lee and Jaehyun Ha, has developed TurboLynx, an engine capable of analyzing complex, highly interconnected data up to 184 times faster than existing systems.A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the Graduate School of Artificial Intelligence, along with Ph.D. candidates Taesung Lee and Jaehyun Ha, has developed TurboLynx, an engine capable of analyzing complex, highly interconnected data up to 184 times faster than existing systems.Machine learning & AI[#item_full_content]
KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.KAIST researchers solved a key challenge in the commercialization of physical AI by developing a new technology that enables AI to learn human judgment criteria on its own from just a few videos.Robotics[#item_full_content]
How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.[#item_full_content]
Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.[#item_full_content]
Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Research published in the International Journal of Information and Communication Technology has taken inspiration from the hunting behavior of the fish-eating bird of prey, the osprey, and combined this with inspiration from quantum computing to improve machine translation, particularly for long sentences and technical texts between Chinese and English.Computer Sciences[#item_full_content]
Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.[#item_full_content]
