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 ...

Researchers have long sought to model how carbon atoms interact with metal surfaces to form graphene and other carbon materials. Developing this capability would elucidate the growth mechanisms of ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.

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 ...