In an article published in Frontiers in Robotics and AI, Dr. Zhao Zhao and her colleagues have investigated the long-term lifespan of a social robot given to 20 families in 2021 to see whether it could help their children learn to read. Four years after their previous study, the robot was no longer needed for its primary purpose, but that didn’t mean it was no longer wanted.In an article published in Frontiers in Robotics and AI, Dr. Zhao Zhao and her colleagues have investigated the long-term lifespan of a social robot given to 20 families in 2021 to see whether it could help their children learn to read. Four years after their previous study, the robot was no longer needed for its primary purpose, but that didn’t mean it was no longer wanted.Machine learning & AI[#item_full_content]

OpenAI on Thursday released a keenly awaited new generation of its hallmark ChatGPT, touting “significant” advancements in artificial intelligence capabilities, as a global race over the technology accelerates.OpenAI on Thursday released a keenly awaited new generation of its hallmark ChatGPT, touting “significant” advancements in artificial intelligence capabilities, as a global race over the technology accelerates.Internet[#item_full_content]

Generative artificial intelligence (AI) is getting better at imitating human beings. It can create things that previously only humans could produce, like music, texts and images. AI is now also being used to imitate God, through chatbots that simulate conversation with human users and can be accessed on websites and apps.Generative artificial intelligence (AI) is getting better at imitating human beings. It can create things that previously only humans could produce, like music, texts and images. AI is now also being used to imitate God, through chatbots that simulate conversation with human users and can be accessed on websites and apps.Machine learning & AI[#item_full_content]

High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in real-world scenarios, such as chatbots interacting with customers, or the AI code assistants used by millions of users daily.High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in real-world scenarios, such as chatbots interacting with customers, or the AI code assistants used by millions of users daily.Machine learning & AI[#item_full_content]

AI seems to be well on its way to becoming pervasive. You hear rumbles of AI being used, somewhere behind the scenes, at your doctor’s office. You suspect it may have played a role in hiring decisions during your last job search. Sometimes—maybe even often—you use it yourself.AI seems to be well on its way to becoming pervasive. You hear rumbles of AI being used, somewhere behind the scenes, at your doctor’s office. You suspect it may have played a role in hiring decisions during your last job search. Sometimes—maybe even often—you use it yourself.Machine learning & AI[#item_full_content]

Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience—unproductive vehicle idling could contribute as much as 15% of the carbon dioxide emissions from U.S. land transportation.Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn’t just a drag on drivers’ patience—unproductive vehicle idling could contribute as much as 15% of the carbon dioxide emissions from U.S. land transportation.Automotive[#item_full_content]

When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.When we look at the world, our brain doesn’t just recognize objects such as “a dog” or “a car,” it also understands the broader meaning, like what’s happening, where it’s happening, and how everything fits together. But for years, scientists didn’t have a good way to measure that rich, complex understanding.Computer Sciences[#item_full_content]

Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are direct methanol fuel cells (DMFCs), devices specifically designed to convert the energy in methyl alcohol (i.e., methanol) into electrical energy.Fuel cells are energy solutions that can convert the chemical energy in fuels into electricity via specific chemical reactions, instead of relying on combustion. Promising types of fuel cells are direct methanol fuel cells (DMFCs), devices specifically designed to convert the energy in methyl alcohol (i.e., methanol) into electrical energy.Energy & Green Tech[#item_full_content]

A new approach called open ad-hoc categorization (OAK) helps AI systems dynamically reinterpret the same image differently depending on the categorization context, rather than using fixed visual interpretation. A University of Michigan-led study on this topic was presented in June 2025 at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, Tennessee.A new approach called open ad-hoc categorization (OAK) helps AI systems dynamically reinterpret the same image differently depending on the categorization context, rather than using fixed visual interpretation. A University of Michigan-led study on this topic was presented in June 2025 at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, Tennessee.Machine learning & AI[#item_full_content]

Imagine trying to make an accurate three-dimensional model of a building using only pictures taken from different angles—but you’re not sure where or how far away all the cameras were. Our big human brains can fill in a lot of those details, but computers have a much harder time doing so.Imagine trying to make an accurate three-dimensional model of a building using only pictures taken from different angles—but you’re not sure where or how far away all the cameras were. Our big human brains can fill in a lot of those details, but computers have a much harder time doing so.Engineering[#item_full_content]