With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning.

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

Label-free multiphoton microscopy and deep learning can be used in combination to classify pancreatic neuroendocrine neoplasms with high accuracy—a significant step toward automated digital pathology ...