Dion: the distributed orthonormal update revolution is here
Dion is a new AI model optimization method that boosts scalability and performance over existing leading methods by orthonormalizing only a top rank subset of singular vectors, enabling more efficient training of large models such…
Medical Bayesian Kiosk (2010)
The Medical Bayesian Kiosk was an exploratory demonstration developed by Dan Bohus and Eric Horvitz that merged advances from Microsoft Research’s Situated Interaction effort with AI-powered medical diagnosis. The system integrated multiparty conversational capabilities with…
Project Roma
Deterministic security for AI agents AI agents perform consequential actions while processing data from various sources, including trusted collaborators and the public Web. It is crucial that AI agents handle this data with care: confidential…
Reimagining healthcare delivery and public health with AI
Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and…