First machine learning method capable of accurate extrapolation

Understanding how a robot will react under different conditions is essential to guaranteeing its safe operation. But how do you know what will break a robot without actually damaging it? A new machine learning method can use observations made under safe conditions to make accurate predictions for all possible conditions governed by the same physical dynamics.

Source: sciencedaily.com

Related posts

Sister cities can help communities better navigate the climate crisis

Aligned peptide ‘noodles’ could enable lab-grown biological tissues

Quantifying U.S. health impacts from gas stoves