From One to Many
By Jaime Teevan, Chief Scientist & Technical Fellow In recent years we’ve all lived through the transition to cloud computing, a sudden shift to remote work, and now the rapid rise of AI. Each individually has felt like a seismic…
In the news | New benchmarks and models for low-resource languages, medical and brain foundation models, AI in space, and innovation kits
“Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs” paper featured in MSR Research Focus Channel
The paper "Cognitive Load Estimation Using Brain Foundation Models and Interpretability for BCIs", accepted for publication during ICASSP 2026, with authors Deeksha M Shama, Dimitra Emmanouilidou, Ivan Tashev, is featured in the MSR Research Focus Channel.
Rethinking imitation learning with Predictive Inverse Dynamics Models
| Pallavi Choudhury, Lukas Schäfer, Chris Lovett, Katja Hofmann, and Sergio Valcarcel Macua
This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations.
Paza: Introducing automatic speech recognition benchmarks and models for low resource languages
| Mercy Muchai, Kevin Chege, Nick Mumero, and Stephanie Nyairo
Microsoft Research unveils Paza, a human-centered speech pipeline, and PazaBench, the first leaderboard for low-resource languages. It covers 39 African languages and 52 models and is tested with communities in real settings.
UniRG: Scaling medical imaging report generation with multimodal reinforcement learning
| Sheng Zhang, Flora Liu, Guanghui Qin, Mu Wei, and Hoifung Poon
AI can help generate medical image reports, but today’s models struggle with varying reporting schemes. Learn how UniRG uses reinforcement learning to boost performance of medical vision-language models.
从“实心泥塑”到“高精度资产”，TRELLIS.2重构3D生成规则
在 AI 时代，当文生图早已是秒出“大片”，文生视频也能复刻好莱坞级特效时，3D 生成却仍停留在难以令人满意的阶段——细节模糊、结构失真，缺乏立体感。 当你满怀期待地输入“一个透明的玻璃瓶”，AI 却只给出了一个实心的“泥疙瘩”。当你想要一座椰林摇曳、白沙碧海的海滨小镇，得到的却是橡皮泥捏成的模糊雕塑。你希望生成一棵枝叶轻盈飘逸的枫树，AI 却无法完整还原枝叶的自然形态与立体结构。 以上种种都是当...
Rho-alpha, which translates natural language commands into control signals for robotic systems doing bimanual manipulation tasks, aims to make physical systems more adaptable by using physical sensing modalities like touch and continuous learning from human feedback.
In the news | Microsoft Signal
Exploring what AI means for education and the next generation
As AI transforms how we work, live and learn, higher education is more than another player — it needs to lead the way. Higher education must strike a balance as it prepares the next generation for a world being reshaped…
In the news | Association for Computing Machinery
Madanlal Musuvathi named ACM Fellow
Madanlal was selected by his peers for the development of methods in concurrency verification and testing, and machine learning systems design.