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Reducing Privacy leaks in AI: Two approaches to contextual integrity 
Reducing Privacy leaks in AI: Two approaches to contextual integrity 

New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time ch...

November 25, 2025 Read More
Agent Lightning: Adding reinforcement learning to AI agents without code rewrites
Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

By decoupling how agents work from how they’re trained, Agent Lightning turns each step an agent takes into data for reinforcement learning. This ma...

December 11, 2025 Read More
UniRG: Scaling medical imaging report generation with multimodal reinforcement learning
UniRG: Scaling medical imaging report generation with multimodal reinforcement learning

AI can help generate medical image reports, but today’s models struggle with varying reporting schemes. Learn how UniRG uses reinforcement learning ...

January 27, 2026 Read More
Promptions helps make AI prompting more precise with dynamic UI controls
Promptions helps make AI prompting more precise with dynamic UI controls

Promptions helps developers add dynamic, context-aware controls to chat interfaces so users can guide generative AI responses. It lets users shape out...

December 10, 2025 Read More
MMCTAgent: Enabling multimodal reasoning over large video and image collections
MMCTAgent: Enabling multimodal reasoning over large video and image collections

MMCTAgent enables dynamic multimodal reasoning with iterative planning and reflection. Built on Microsoft’s AutoGen framework, it integrates languag...

November 12, 2025 Read More
Multimodal reinforcement learning with agentic verifier for AI agents
Multimodal reinforcement learning with agentic verifier for AI agents

Argos improves multimodal RL by evaluating whether an agent’s reasoning aligns with what it observes over time. The approach reduces visual hallucin...

January 20, 2026 Read More
Fara-7B: An Efficient Agentic Model for Computer Use
Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deploym...

November 24, 2025 Read More
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI

Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer...

December 9, 2025 Read More
Ideas: Community building, machine learning, and the future of AI
Ideas: Community building, machine learning, and the future of AI

As the Women in Machine Learning Workshop (WiML) marks its 20th annual gathering, cofounders, friends, and collaborators Jenn Wortman Vaughan and Hann...

December 1, 2025 Read More
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Why don’t scientists trust atoms? Because they make up everything.