Shuaifeng Li, a postdoctoral researcher, and Xiaoming Mao, a professor in the Department of Physics at the University of Michigan, developed an algorithm that allows mechanical systems to learn and adapt using a framework inspired by machine learning principles. This breakthrough could lead to future materials capable of solving complex problems autonomously without relying on traditional computers. The study explores the intersection of physical systems and AI, opening new avenues for research in both fields.
