machine learning


Physics and the machine-learning “black box”

January 12, 2022

In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.

Nonsense can make sense to machine-learning models

January 5, 2022

Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.