Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle

Multimodal open d1 decision models for the edge

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

EmbeddingGemma 2: an open, lightweight multimodal embedding model

Chris Bourg named vice provost and Barbara K. Ostrom (1978) Director of the MIT Libraries

As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.