Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.Computer Sciences[#item_full_content]

AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.Computer Sciences[#item_full_content]

In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.In the animal kingdom, energy conservation is essential for survival. That’s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.Computer Sciences[#item_full_content]

Computer programmer Fei Zhaojun’s boss asked him if artificial intelligence could soon replace humans in coding jobs. Two weeks later, he was laid off from his job in Beijing, together with about 160 of his colleagues.Computer programmer Fei Zhaojun’s boss asked him if artificial intelligence could soon replace humans in coding jobs. Two weeks later, he was laid off from his job in Beijing, together with about 160 of his colleagues.Business[#item_full_content]

Chinese humanoid robots broke records set by humans, including beating Usain Bolt’s 100-meter sprint world record, on the opening day of the Olympics-like World Humanoid Robot Games in Beijing on Saturday.Chinese humanoid robots broke records set by humans, including beating Usain Bolt’s 100-meter sprint world record, on the opening day of the Olympics-like World Humanoid Robot Games in Beijing on Saturday.Robotics[#item_full_content]

Everyone is familiar with the situation: A larger group of people plans to visit a restaurant together, but it can take time and sometimes a great deal of patience to agree on a time and place to meet. The better the participants know each other and their preferences, the faster they will reach an agreement. However, past social science experiments have demonstrated that people are only able to socialize effectively with 150–200 others without requiring rigid rules. Researchers call this Dunbar’s number.Everyone is familiar with the situation: A larger group of people plans to visit a restaurant together, but it can take time and sometimes a great deal of patience to agree on a time and place to meet. The better the participants know each other and their preferences, the faster they will reach an agreement. However, past social science experiments have demonstrated that people are only able to socialize effectively with 150–200 others without requiring rigid rules. Researchers call this Dunbar’s number.Machine learning & AI[#item_full_content]

AI is showing up in nearly every aspect of daily life—from internet searches to visits to the doctor’s office. It could one day even play a role in the street layout in front of your apartment building.AI is showing up in nearly every aspect of daily life—from internet searches to visits to the doctor’s office. It could one day even play a role in the street layout in front of your apartment building.Engineering[#item_full_content]

The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.The common belief throughout the marketing and advertising world is that generative AI can produce striking visuals, but it struggles to match the performance and brand discipline of skilled human designers. New research published in the journal Marketing Science challenges that assumption, finding that a carefully designed AI system can outperform visuals created by humans, and it can outperform designs created by another AI model that was optimized solely on the basis of aesthetics.Business[#item_full_content]

Cyborg insects combine the mobility of living organisms with miniature electronic devices, offering potential applications in search-and-rescue operations, infrastructure inspection and exploration of environments that are difficult for conventional robots.Cyborg insects combine the mobility of living organisms with miniature electronic devices, offering potential applications in search-and-rescue operations, infrastructure inspection and exploration of environments that are difficult for conventional robots.Robotics[#item_full_content]

What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld University and the Université Côte d’Azur have demonstrated in computer simulations that, where only a few firms compete with one another, such artificial intelligence (AI) systems can “learn” to set wages at a very low level without communicating with one another or having been programmed to collude.What happens when companies on digital labor platforms no longer decide for themselves how much to pay their workers, but leave this to learning algorithms? Researchers at TU Darmstadt, Bielefeld University and the Université Côte d’Azur have demonstrated in computer simulations that, where only a few firms compete with one another, such artificial intelligence (AI) systems can “learn” to set wages at a very low level without communicating with one another or having been programmed to collude.Business[#item_full_content]