A conversation between LocaXion CEO Viren Mathuria and Redpoint CEO Chunjie Duan on safety-grade RTLS, what genuine precision demands, and the architecture built for what’s coming. RTLS (Real-Time Location System) refers to wireless technology used to automatically identify, track, and manage the precise location of assets, equipment, or people within a defined indoor or outdoor […]
As commercial environments grow increasingly reliant on autonomous technology in core operations, the ability for robots to intelligently adapt is critical to scaling automation. Brain Corp, the real-world AI company, has announced the release of BrainOS Clean 2.0, a major new software update designed to elevate how Tennant Company robotic floor cleaners operate, adapt, and […]
Positronic Robotics launches ‘PhAIL’ benchmark to test real-world performance of physical AI systems
Positronic Robotics has introduced a new benchmarking initiative aimed at evaluating how well AI-driven robots perform in real-world industrial tasks, as interest grows in so-called “physical AI” systems. The benchmark, called PhAIL (Physical AI Leaderboard), measures robotic performance using operational metrics such as units per hour and mean time between failures, rather than traditional academic […]
Unitree Robotics, which is believed to be the world’s largest humanoid robot maker, has taken a significant step toward going public, filing for an initial public offering on Shanghai’s STAR Market that could raise up to 4.2 billion yuan ($610 million). The Hangzhou-based company’s IPO application was formally accepted by the Shanghai Stock Exchange on […]
Agibot, a leading robotics company specializing in embodied intelligence, said it has rolled out its 10,000th humanoid robot, becoming one of the first companies in the industry to reach this milestone at scale. More than a production figure, the achievement marks a significant step forward for the robotics industry, signaling a transition from early-stage validation […]
Autonomous systems are designed for repetition. They are good in the situations where patterns can be memorized, charted, and anticipated with a high level of certainty. However, real-world driving is filled with edge cases, which do not scale well to datasets. Even a sophisticated system can be thrown off by a plastic bag floating along […]
Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining which cases need urgent care. Trained on hundreds of thousands of real-world scans along with patient histories, the model achieved accuracy as high as 97.5% and outperformed other advanced AI tools.
Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ so dramatically around the world. By analyzing cancer data and health system information from 185 countries, the AI model highlights which factors, such as access to radiotherapy, universal health coverage, and economic strength, are most closely linked to better survival in each nation.
Researchers have created a prediction method that comes startlingly close to real-world results. It works by aiming for strong alignment with actual values rather than simply reducing mistakes. Tests on medical and health data showed it often outperforms classic approaches. The discovery could reshape how scientists make reliable forecasts.
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated diffraction and data preparation modules enable unprecedented speed and efficiency for AI tasks. Demonstrations in imaging and trading showed improved accuracy, lower latency, and reduced power demand. This innovation pushes optical computing toward real-world, high-performance AI.
A team at the University at Buffalo has made it possible to simulate complex quantum systems without needing a supercomputer. By expanding the truncated Wigner approximation, they’ve created an accessible, efficient way to model real-world quantum behavior. Their method translates dense equations into a ready-to-use format that runs on ordinary computers. It could transform how physicists explore quantum phenomena.
AI-powered analysis of routine blood tests can reveal hidden patterns that predict recovery and survival after spinal cord injuries. This breakthrough could make life-saving predictions affordable and accessible in hospitals worldwide.
Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions of electronic health records and routine lab tests like cholesterol or kidney function, the system produces "ML penetrance" scores that place genetic risk on a spectrum rather than a simple yes/no. Some variants once thought dangerous showed little real-world impact, while others previously labeled uncertain revealed strong disease links.