Code Hunt - Microsoft Research

At a glance
Imitation learning becomes easier when an AI agent understands why an action is taken.
Predictive Inverse Dynamics Models (PIDMs) predict plausible future states, clarifying the direction of behavior during imitation learning.

At a glance
Microsoft Research releases PazaBench and Paza automatic speech recognition models, advancing speech technology for low resource languages.
Human-centered pipeline for low-resource languages: Built for and tested by communities, Paza is an end-to-end, continuous pipeline that elevates historically under-represented languages and makes speech models usable in real-world, low-resource contexts...

At a glance
AI-driven medical image report generation can help medical providers become more efficient and productive.
Current models are difficult to train because reporting practices vary widely among providers.

At a glance
Today’s multimodal AI systems can give answers that sound right but may not be grounded in what they actually observe over time, leading to unpredictable errors and safety risks in real-world settings.
Argos is a verification framework for multimodal reinforcement learning that trains models by rewarding not just correct answers, but correct answers grounded in visual and temporal evidence, using automated verification rather than human labeling. It...