Nature

Active learning applied to automated physical systems increases the rate of discovery

Active machine learning is widely used in computational studies where repeated numerical simulations can be conducted on high performance computers without human intervention. But translation of these ...
Nature

Bridging the complexity gap in computational heterogeneous catalysis with machine learning

Heterogeneous catalysis underpins a wide variety of industrial processes including energy conversion, chemical manufacturing and environmental remediation. Significant advances in computational ...
TechCrunch

Active learning is the future of generative AI: Here’s how to leverage it

During the past six months, we have witnessed some incredible developments in AI. The release of Stable Diffusion forever changed the artworld, and ChatGPT-3 shook up the internet with its ability to ...
mccormick.northwestern.edu

MECH_ENG 455: Active Learning in Robotics

Active learning takes advantage of control authority to improve data as it is being acquired. Robotics applications are particularly sensitive to how data is taken. For instance, machine vision is ...
Quanta Magazine

What Is Machine Learning?

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 ...