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 […]
Nature Robots, a technology company founded in Osnabrück in 2022 and a spin-off of the German Research Center for Artificial Intelligence (DFKI), has closed a seed financing round totaling €4 million. Participants in the round include Climentum Capital, Bayern Kapital, and Planetary Impact Ventures. With the fresh capital, the company is scaling its modular autonomy […]
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with peer counselors and licensed psychologists, researchers uncovered 15 distinct ethical risks — from mishandling crisis situations and reinforcing harmful beliefs to showing biased responses and offering “deceptive empathy” that mimics care without real understanding.
Dinosaur footprints have always been mysterious, but a new AI app is cracking their secrets. DinoTracker analyzes photos of fossil tracks and predicts which dinosaur made them, with accuracy rivaling human experts. Along the way, it uncovered footprints that look strikingly bird-like—dating back more than 200 million years. That discovery could push the origin of birds much deeper into prehistory.
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.