Researchers have unveiled Torque Clustering, a groundbreaking AI algorithm that identifies patterns in data without human intervention. Unlike traditional AI, which relies on labeled datasets, this method mimics natural learning by autonomously uncovering hidden structures.
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Developed by a team led by Professor CT Lin at the University of Technology Sydney, the algorithm is inspired by physics and has outperformed existing unsupervised learning techniques. With its open-source release, experts believe it could revolutionize robotics and AI research.
