Hepatic, or liver, disease affects more than 100 million people in the U.S. About 4.5 million adults (1.8%) have been ...

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction ...

Diagrams of the physics-based traditional method, physics-informed deep learning approach, and data-driven deep learning approach for fringe pattern analysis. Credit: Opto-Electronic Advances (2023).

Perhaps deep learning's greatest utility in the short run can come from exploring the gap between the way software has been coded and a company's existing business model, Lowe said. He said he ...

Over at the IBM Blog, Rahil Garnavi writes that IBM researchers have developed new techniques in deep learning that could help unlock earlier glaucoma detection. "Earlier detection of glaucoma is ...