Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Career Opportunity
Research Sciences INTERN
Microsoft Research Asia – Tokyo is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. We are seeking a highly motivated and…
Microsoft Research Blog
Broadening access to Skala creates a faster path to predictive DFT
Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance.
Career Opportunity
UK Residency Programme – Optoelectronics Device Engineer
Join Microsoft Research Cambridge to invent optical interconnects that deliver power efficient and reliable with optical IO links. Current mainstream interconnect technologies face a fundamental trade-off: copper links are power-efficient and reliable but limited in…
Career Opportunity
AI for Science Residency – Machine Learning Resident
Microsoft Research AI for Science is seeking a talented machine learning researcher to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to…
Career Opportunity
Senior Data & Applied Scientist – AI for CELA
Microsoft’s AI for CELA team is part of Corporate, External, and Legal Affairs (CELA), the organization that brings together legal, regulatory, public policy, compliance, and corporate affairs professionals to help Microsoft navigate complex issues and…
Career Opportunity
Senior Applied Scientist – Ads Ranking & Retrieval
Microsoft Ads powers one of the world’s largest digital advertising ecosystems, delivering billions of recommendations every day. We are seeking a Senior Applied Scientist who is passionate about advancing both frontier research and real-world product…
Video
Binomial Flows: Denoising and flow matching for discrete ordinal data
Flow-based generative modeling in continuous spaces exploit Tweedie’s formula to express the denoiser (learned in training) as a score function (used in sampling). In contrast, this relation has been largely missing in the discrete setting…
