Torque Clustering: A New Way for AI to Learn on Its Own

In this episode of AI News, our hosts introduce Torque Clustering—an unsupervised AI algorithm that learns patterns in raw data without human-labeled examples. Inspired by the physics of colliding galaxies, this approach is already attracting attention for its potential to reshape AI, from detecting fraud to advancing medical research. Tune in to learn how Torque Clustering works, why experts are calling it a “paradigm shift,” and where it might appear next.