The foundation of today’s AI-enabled design workflows is data. Keysight highlighted how its Design Data Management (SOS) data ...

“Geometric deep learning is likely going to be part of the standard AI-powered engineering process in five years for most companies,” says Altair’s VP of engineering data science Earlier this year we ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Learn how AI-powered tools are changing engineering, boosting innovation, and transforming workflows for modern professionals.

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

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...