James Zou is a computer scientist at Stanford University who has been exploring how large language models (LLMs) can assist scientific peer review—and more broadly, how AI agents might accelerate research. It is a provocative topic in the scientific community and an important one to wrestle with as AI’s capabilities grow.James Zou is a computer scientist at Stanford University who has been exploring how large language models (LLMs) can assist scientific peer review—and more broadly, how AI agents might accelerate research. It is a provocative topic in the scientific community and an important one to wrestle with as AI’s capabilities grow.Machine learning & AI[#item_full_content]
A new study on how runners may choose to interact with self-driving cars is challenging assumptions on how automated vehicles will navigate safely on the roads of the future. Researchers at the University of Glasgow and KAIST in South Korea led the study, which used augmented reality tech to explore for the first time how runners’ behavior differs from walkers when they are crossing roads and junctions.A new study on how runners may choose to interact with self-driving cars is challenging assumptions on how automated vehicles will navigate safely on the roads of the future. Researchers at the University of Glasgow and KAIST in South Korea led the study, which used augmented reality tech to explore for the first time how runners’ behavior differs from walkers when they are crossing roads and junctions.Automotive[#item_full_content]
OpenClaw’s creator says 2026 could be the year of general AI agents
Peter Steinberger’s artificial intelligence agent tool OpenClaw has taken the tech world by storm with its ability to execute real-life tasks such as checking him in for his flight to Tokyo.Peter Steinberger’s artificial intelligence agent tool OpenClaw has taken the tech world by storm with its ability to execute real-life tasks such as checking him in for his flight to Tokyo.Machine learning & AI[#item_full_content]
Robots with different bodies can now share skills: What intention-based learning changes
Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and engineering at WashU McKelvey Engineering, have developed a new method that enables robots to achieve intentions shown by their peers.Robotics[#item_full_content]
The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.The fields of manufacturing, logistics, and even restaurants are increasingly moving toward automation, with robots being employed for a wide range of tasks. One of the most critical applications of robots is material handling, where grippers are used to move objects, such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This reduces the burden on human workers while lowering the risk of accidents, thereby improving workplace safety.Robotics[#item_full_content]
Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Feed an Iranian news dispatch or a literary classic into some text detectors, and they return the same verdict: AI-generated. Then comes the pitch: pay to “humanize” the writing, a pattern experts say bears the hallmarks of a scam.Machine learning & AI[#item_full_content]
Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Heavy users of artificial intelligence report being overwhelmed by trying to keep up with and on top of the technology designed to make their lives easier.Machine learning & AI[#item_full_content]
For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.For decades, video games have served as a proving ground for artificial intelligence. From early checkers programs to systems that conquered chess and Go, each milestone has seemed to bring machines closer to human-like intelligence. But a new paper by Julian Togelius and colleagues argues that this narrative is misleading. Despite impressive victories, today’s AI still struggles with a deceptively simple challenge: playing a game it has never seen before.Machine learning & AI[#item_full_content]
No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.Robotics[#item_full_content]
Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Artificial intelligence chatbots are so prone to flattering and validating their human users that they are giving bad advice that can damage relationships and reinforce harmful behaviors, according to a new study that explores the dangers of AI telling people what they want to hear.Computer Sciences[#item_full_content]
