Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Artificial intelligence (AI) and machine learning (ML) come in many shapes, but whatever the intelligence looks like, it is all results-focused. If there is a clear “right way” and “wrong way” to do ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More It was only a matter of time before machine learning transformed the ...

Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Google is ...