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…
Understanding our relationships with AI
The goal of this project is to understand the broad phenomenon of how people relate to AI, how they make sense of what it is, what it can do, what it might be; what kinds…
Computational models for brain science
In this talk, Dr. Laschowski will present his research on the development of new mathematical, computational, and machine learning models to reverse-engineer and/or interface with the brain. Some examples include 1) deep learning models to…
Technical approach for classifying human-AI interactions at scale
Semantic Telemetry helps LLMs run efficiently, reliably, and in near real-time. Learn about the engineering behind that system, including the trade-offs and lessons learned along the way—from batching strategies to token optimization and orchestration.