Scientists build physics-inspired AI that learns without human labels
Researchers at the University of Technology Sydney just developed Torque Clustering, an unsupervised learning algorithm that organizes raw data without human supervision. Inspired by galactic gravitational torque, the parameter-free approach scored a massive 97.7% across 1,000 datasets—far outpacing traditional methods in the 80% range.