Human–AI collaboration is widely seen as the work model of the future: The expectation is that together, humans and AI will be more productive than either working alone. Yet the research to date seemed to tell a different story: On average, human–AI teams did less well than the better of the two alone. A reanalysis led by researchers at the Max Planck Institute for Human Development now suggests this verdict was overly pessimistic.Human–AI collaboration is widely seen as the work model of the future: The expectation is that together, humans and AI will be more productive than either working alone. Yet the research to date seemed to tell a different story: On average, human–AI teams did less well than the better of the two alone. A reanalysis led by researchers at the Max Planck Institute for Human Development now suggests this verdict was overly pessimistic.Business[#item_full_content]

Reading a scientific article is one thing. Exploring the data behind it is another. Even when a research article provides access to its supporting data sets, answering a follow-up question often requires downloading files, understanding their structure and writing code.Reading a scientific article is one thing. Exploring the data behind it is another. Even when a research article provides access to its supporting data sets, answering a follow-up question often requires downloading files, understanding their structure and writing code.Machine learning & AI[#item_full_content]

Imagine an artificial intelligence system that has performed reliably for months. Its recommendations are almost always right, and the employee reviewing them has learned that close scrutiny rarely changes the outcome. Then something unusual happens. The AI makes an error or can’t proceed and needs human intervention. The employee is expected to step in and remains responsible for the outcome.Imagine an artificial intelligence system that has performed reliably for months. Its recommendations are almost always right, and the employee reviewing them has learned that close scrutiny rarely changes the outcome. Then something unusual happens. The AI makes an error or can’t proceed and needs human intervention. The employee is expected to step in and remains responsible for the outcome.Machine learning & AI[#item_full_content]

Large language models (LLMs), the artificial intelligence (AI) systems underpinning the functioning of ChatGPT and other conversational agents, are now widely used to source information, summarize texts and generate content for specific purposes. These models essentially generate their responses by predicting sequences of words based on the patterns they learned during previous training.Large language models (LLMs), the artificial intelligence (AI) systems underpinning the functioning of ChatGPT and other conversational agents, are now widely used to source information, summarize texts and generate content for specific purposes. These models essentially generate their responses by predicting sequences of words based on the patterns they learned during previous training.Computer Sciences[#item_full_content]

Researchers from the VUB’s Artificial Intelligence Lab and the University of Namur (UNamur) demonstrate in a new large-scale study how autonomous AI systems can spontaneously develop a functional, shared language without human intervention.Researchers from the VUB’s Artificial Intelligence Lab and the University of Namur (UNamur) demonstrate in a new large-scale study how autonomous AI systems can spontaneously develop a functional, shared language without human intervention.Computer Sciences[#item_full_content]

Clues to stress can be hidden in everyday habits such as chatting, searching and making payments on a smartphone. KAIST researchers have developed a technology that analyzes several routine behaviors repeatedly performed within apps to identify a person’s daily stress state.Clues to stress can be hidden in everyday habits such as chatting, searching and making payments on a smartphone. KAIST researchers have developed a technology that analyzes several routine behaviors repeatedly performed within apps to identify a person’s daily stress state.Machine learning & AI[#item_full_content]

Structure dictates function. Scientists are increasingly using artificial intelligence (AI) to design the arrangement of atoms in new materials with desired properties. Now, researchers at the Institute of Industrial Science, The University of Tokyo, have extended a leading generative AI model so that it designs the electronic structure of a material together with its crystal structure. The new model, named MatterGen-e⁻, is reported in npj Computational Materials.Structure dictates function. Scientists are increasingly using artificial intelligence (AI) to design the arrangement of atoms in new materials with desired properties. Now, researchers at the Institute of Industrial Science, The University of Tokyo, have extended a leading generative AI model so that it designs the electronic structure of a material together with its crystal structure. The new model, named MatterGen-e⁻, is reported in npj Computational Materials.Engineering[#item_full_content]

From the specter of refrigerator-infecting AI worms to warnings of “major” security incidents on the horizon, calls to prioritize safety in the development of artificial intelligence dominated an industry summit Wednesday.From the specter of refrigerator-infecting AI worms to warnings of “major” security incidents on the horizon, calls to prioritize safety in the development of artificial intelligence dominated an industry summit Wednesday.Security[#item_full_content]

Artificial intelligence can do remarkable things, but how much does it actually understand about the world? Researchers have found that surprisingly specific information can be extracted from the inner workings of large language models (LLMs) like ChatGPT. Using mathematical tools to probe a model’s internal activity, they can identify where a city is located on a map, when a historical figure lived or what emotion a character feels, even detecting descriptions of pain.Artificial intelligence can do remarkable things, but how much does it actually understand about the world? Researchers have found that surprisingly specific information can be extracted from the inner workings of large language models (LLMs) like ChatGPT. Using mathematical tools to probe a model’s internal activity, they can identify where a city is located on a map, when a historical figure lived or what emotion a character feels, even detecting descriptions of pain.Computer Sciences[#item_full_content]

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