Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

The Center for Deep Learning’s (CDL) mission is to act as a resource for companies seeking to establish or improve access to artificial intelligence (AI) by providing technical capacity and expertise, ...

By teaching models to reason during foundational training, the verifier-free method aims to reduce logical errors and boost ...

Deep learning modeling that incorporates physical knowledge is currently a hot topic, and a number of excellent techniques have emerged. The most well-known one is the physics-informed neural networks ...

Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Researchers evaluated whether a deep learning model could distinguish between autoimmune neuroinflammatory disorders based on ...