The model performed best in the detection of severe glaucoma, with 88% accuracy, 100% sensitivity and 83% specificity, with an area under the curve of 0.92.

Poggio says that the CRH and PAH offer a potential unifying theory for key deep learning phenomena such as neural collapse and the neural feature ansatz (NFA).

Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a ...