Three white line icons on a blue-to-purple gradient background: the first icon shows a simple flowchart with connected squares and a diamond, the second icon depicts a network of interconnected circles, and the third icon represents a social connection diagram with three user profile symbols linked together.
Microsoft Research Blog

| Xufang Luo, Yuge Zhang, Zhiyuan He, Zilong Wang, Dongsheng Li, Luna K. Qiu, and Yuqing Yang

By decoupling how agents work from how they’re trained, Agent Lightning turns each step an agent takes into data for reinforcement learning. This makes it easy for developers to improve agent performance with almost zero code changes.

Three white line icons on a blue-to-green gradient background: a hub-and-spoke network symbol on the left, a laptop with a user icon in the center, and a connected group of three user icons on the right.
Microsoft Research Blog

| Sean Rintel, Advait Sarkar, Jack Williams, Nicholas Wilson, Richard Banks, Neeltje Berger, Philipp Steinacher, Payod Panda, and Ian Drosos

Promptions helps developers add dynamic, context-aware controls to chat interfaces so users can guide generative AI responses. It lets users shape outputs quickly without writing long instructions.

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Microsoft Research Blog

| Hoifung Poon, Jeya Maria Jose Valanarasu, Naoto Usuyama, and Sheng Wang

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

Four white line icons on a blue-to-orange gradient background: a network node icon, a security shield with padlock icon, an information icon, a checklist icon
Microsoft Research Blog

| Gbola Afonja, Huseyin Atahan Inan, Qingwei Lin 林庆维, Saravan Rajmohan, Robert Sim, Xiaoting Qin, Jue Zhang, and Lukas Wutschitz

New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds contextual awareness directly into models through reasoning and RL.

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Microsoft Research Blog

| Ahmed Awadallah, Akshay Nambi, Alexey Taymanov, Aravind Rajeswaran, Corby Rosset, Hussein Mozannar, Spencer Whitehead, Vibhav Vineet, Yash Lara, Yash Pandya, and Andrew Zhao

Fara-7B is our first agentic small language model for computer use. This experimental model includes robust safety measures to aid responsible deployment. Despite its size, Fara-7B holds its own against larger, more resource-intensive agentic systems.

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Microsoft Research Blog

| Akshay Nambi, Kavyansh Chourasia, and Tanuja Ganu

MMCTAgent enables dynamic multimodal reasoning with iterative planning and reflection. Built on Microsoft’s AutoGen framework, it integrates language, vision, and temporal understanding for complex tasks like long video and image analysis.

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Microsoft Research Blog

| Chengquan Guo , Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, and Bo Li

BlueCodeAgent is an end-to-end blue-teaming framework built to boost code security using automated red-teaming processes, data, and safety rules to guide LLMs’ defensive decisions. Dynamic testing reduces false positives in vulnerability detection.

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Microsoft Research Blog

| Industry Innovation Center

A collaboration between Signify and Microsoft Research shows how PIKE-RAG improves enterprise knowledge systems, delivering a 12% increase in accuracy and faster, more reliable answers.

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Microsoft Research Blog

| Gagan Bansal, Wenyue Hua, Zachary Huang, Adam Fourney, Amanda Swearngin, Chinmay Singh, Brendan Lucier, Jake Hofman, Markus Mobius, Will Epperson, Tyler Payne, Akshay Nambi, Archana Yadav, Maya Murad, Matthew Vogel, Alex Slivkins, Dan Goldstein, David Rothschild, Hussein Mozannar, Nicole Immorlica, Subbarao Kambhampati, Eric Horvitz, and Saleema Amershi

AI agents are poised to transform digital marketplaces. To explore what can happen when AI agents interact and transact at scale, we built Magentic Marketplace, an open-source simulation environment for studying agentic market designs.