Artificial Intelligence
Pursuing computing advances to create intelligent machines that complement human reasoning to augment and enrich our experience and competencies.
Project
WHAM
Unlocking new forms of creative expression and ushering in the future of interactive media World and Human Action Models, or WHAM for short, are a family of generative AI models that capture both the environment…
Microsoft Research Blog
MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models
MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and orchestration to support efficient agentic performance on everyday tasks.
Microsoft Research Blog
Vega: Zero-knowledge proofs for digital identity in the age of AI
Vega turns a full credential into a single proof, sharing only what is needed and nothing more, with performance that works in real apps.
Career Opportunity
Principal Data Scientist
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We are hiring a Principal Data Scientist to…
Video
Introducing Muse: Our first generative AI model designed for gameplay ideation
Today, the journal Nature is publishing our latest research, which introduces the first World and Human Action Model (WHAM). The WHAM, which we’ve named “Muse,” is a generative AI model of a video game that…
Career Opportunity
Research Science PhD Internship Opportunities – Coding Agents
In M365 Research, we are dedicated to pioneering advancements in Artificial Intelligence (AI) and Systems, driving the transfer of innovative technologies into our products, establishing Microsoft’s leadership in technical domains and enhancing community engagement. For…
Career Opportunity
Data Scientist 2 – ISD Engineering & Architecture Group
Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focused on solving complex, real-world business problems? The Industry Solutions…
Video
Designing Dynamic Measure Transport for Sampling
Sampling from a target probability distribution is fundamental to modern computational science and machine learning. Sampling is the essence of Monte Carlo integration, enables uncertainty quantification in Bayesian inference, and underlies generative models that have…
