Active learning encompasses a suite of iterative sampling methodologies that seek to maximise predictive performance while minimising the burden of manual annotation. By identifying and labelling only ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...