Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Researchers have developed technologies that reduce communication overhead by transmitting only the data needed for artificial intelligence (AI) analysis and shorten the time users must wait for a response when returning to an AI application after using other apps on a smartphone.Computer Sciences[#item_full_content]

Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Almost every artificial intelligence system we know begins in the same way: it is exposed to vast amounts of information from the real world—books, websites, images and recordings—and trained to identify patterns within it. A new study involving researchers from Tel Aviv University and Stanford University raises another possibility: Can a system develop general learning capabilities even when all the data it trains on is generated entirely from scratch within the system itself?Computer Sciences[#item_full_content]

When processing and producing non-English text, generative AI burns more energy and sometimes provides less accurate answers, potentially reinforcing existing global inequalities, according to University of Michigan Engineering researchers.When processing and producing non-English text, generative AI burns more energy and sometimes provides less accurate answers, potentially reinforcing existing global inequalities, according to University of Michigan Engineering researchers.Machine learning & AI[#item_full_content]

Increasingly, people are asking personal artificial intelligence (AI) agents powered by models from companies like OpenAI, Anthropic and Google to recommend goods and services to purchase, such as flights and health insurance. A new study found that some of these AI agents use personal information to recommend higher-priced items to wealthier individuals, even when the user requests lower-priced options.Increasingly, people are asking personal artificial intelligence (AI) agents powered by models from companies like OpenAI, Anthropic and Google to recommend goods and services to purchase, such as flights and health insurance. A new study found that some of these AI agents use personal information to recommend higher-priced items to wealthier individuals, even when the user requests lower-priced options.Business[#item_full_content]

A world-first 3D modeling tool developed at the University of Sydney has demonstrated how users can develop a deeper understanding and learn when engaging with AI.A world-first 3D modeling tool developed at the University of Sydney has demonstrated how users can develop a deeper understanding and learn when engaging with AI.Machine learning & AI[#item_full_content]

In an emergency, a human might someday ask a robotic assistant to fetch a wall-mounted defibrillator located down the hall. But if the robot has incorrectly labeled the defibrillator as a fire extinguisher in its stored memory, it may not know where to find the lifesaving device.In an emergency, a human might someday ask a robotic assistant to fetch a wall-mounted defibrillator located down the hall. But if the robot has incorrectly labeled the defibrillator as a fire extinguisher in its stored memory, it may not know where to find the lifesaving device.Robotics[#item_full_content]

Artificial intelligence is increasingly pervasive and capable but is also very hungry for power. Researchers, including those at the University of Tokyo, have developed a new approach to building physics-based AI—systems that use the natural behavior of physical systems to process information—that dramatically reduces the amount of computation required for them to run. The approach simplifies both how these systems learn and how they are structured. It was demonstrated using an optical computing system that processes information with light and could help pave the way toward faster and more energy-efficient AI hardware.Artificial intelligence is increasingly pervasive and capable but is also very hungry for power. Researchers, including those at the University of Tokyo, have developed a new approach to building physics-based AI—systems that use the natural behavior of physical systems to process information—that dramatically reduces the amount of computation required for them to run. The approach simplifies both how these systems learn and how they are structured. It was demonstrated using an optical computing system that processes information with light and could help pave the way toward faster and more energy-efficient AI hardware.Hardware[#item_full_content]

Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Large language models (LLMs), the technology that powers tools like Gemini and ChatGPT, are more nuanced than ever. But that doesn’t mean they aren’t biased. Some models are more prejudiced than others, a Rutgers University researcher has found.Computer Sciences[#item_full_content]

Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Texts generated by large language models, or AI-powered chatbots, exhibit characteristic “personality” traits. Such chatbots can also identify individual personality traits in texts. However, humans are more reliable at distinguishing between human-written and AI-generated texts, according to researchers at the Institute of Psychology at Johannes Gutenberg University Mainz (JGU).Computer Sciences[#item_full_content]

Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows—using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.Advances in machine learning and computational imaging are transforming not only how scientists analyze data but how they conduct entire experiments. At U.S. Department of Energy (DOE) user facilities, researchers are integrating machine learning directly into experimental workflows—using it to identify what to measure, reconstruct images as data are collected and rapidly extract scientific information.Electronics & Semiconductors[#item_full_content]