Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Project
Project Volano
‘No AI about us, without us’ – enabling communities to define their own preferred representation in AI generated media Project Volano is carrying out cross-disciplinary research to understand how we can value and utilize community…
Career Opportunity
Cambridge Internship: Novel Light Source Design
The Future AI Infrastructure team at Microsoft Research Cambridge (UK) is pioneering scalable, energy-efficient optical technologies to redefine the future of data centre infrastructure. We’re looking for a talented, curious and motivated PhD student to…
Microsoft Research Blog
GridSFM: A new, small foundation model for the electric grid
Introducing GridSFM, a small foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings. Learn how GridSFM gives grid operators direct visibility into congestion, stability, and system health.
Tool
GridSFM | Small Foundation Models for the Power Grid
GridSFM is an open-source framework for neural surrogate modeling of AC Optimal Power Flow (AC-OPF) on realistic approximations of the US power grids, derived exclusively from open data.
Microsoft Research Blog
Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models
MatterSim is expanding what AI can do for materials science—from faster large-scale simulations to MatterSim-MT, a new multi-task model for simulating properties beyond potential energy surfaces alone.
Career Opportunity
Manager – Applied Sciences / Machine Learning
The Microsoft Content Product team is seeking a Manager – Applied Sciences/Machine Learning (ML) to lead our Core Recommendation and Content Generation team. We are looking for a leader who can combine deep expertise in…
Microsoft Research Blog
SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests
Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest.
Microsoft Research Blog
Building realistic electric transmission grid dataset at scale: a pipeline from open dataset
Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from publicly available data. The ability to study transmission-level power grid behavior is essential for modern…
Career Opportunity
Principal Applied Scientist
As a Principal Applied Scientist, you’ll lead the science behind Discover’s ranking, user understanding, and content understanding stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust.…