Researchers at Trinity have developed a new light-based technology on a tiny chip that could help make the data centers behind cloud computing, artificial intelligence, and global internet services faster and more efficient. In the new research, recently published in Nature Communications, the Trinity team reported one such promising advance with collaborators at the University of Bath and the Swiss Federal Institute of Technology Lausanne (EPFL).Researchers at Trinity have developed a new light-based technology on a tiny chip that could help make the data centers behind cloud computing, artificial intelligence, and global internet services faster and more efficient. In the new research, recently published in Nature Communications, the Trinity team reported one such promising advance with collaborators at the University of Bath and the Swiss Federal Institute of Technology Lausanne (EPFL).Telecom[#item_full_content]
When working on projects, architects must quickly turn rough concepts into visual representations. Text-to-image models offer an opportunity in this field, where high-quality designs can be generated simply by typing a description. Some of these systems can also incorporate rough sketches or depth information, offering additional control over the results.When working on projects, architects must quickly turn rough concepts into visual representations. Text-to-image models offer an opportunity in this field, where high-quality designs can be generated simply by typing a description. Some of these systems can also incorporate rough sketches or depth information, offering additional control over the results.Engineering[#item_full_content]
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]
Q&A: Robots can’t feel, but novel sensors could change that
A research team, including Huanyu “Larry” Cheng, James L. Henderson Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, is using pressure sensors—tiny devices, roughly the size of a paperclip, that can measure the force applied over an area—to design a highly sensitive electronic “skin” to use alongside robots and prosthetic limbs.A research team, including Huanyu “Larry” Cheng, James L. Henderson Jr. Memorial Associate Professor of Engineering Science and Mechanics at Penn State, is using pressure sensors—tiny devices, roughly the size of a paperclip, that can measure the force applied over an area—to design a highly sensitive electronic “skin” to use alongside robots and prosthetic limbs.[#item_full_content]
Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.[#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]
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.[#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.[#item_full_content]
