By Ben Finkelshtein (opens in new tab) (University of Oxford), Silviu Cucerzan, Sujay Kumar Jauhar, and Ryen W. White (Microsoft) Think about the last time you opened a shared document at work. Behind that simple action lies a complex network of relationships: the colleagues who edited the file…
| Doug Burger
Technical advances are moving at such a rapid pace that it can be challenging to define the tomorrow we’re working toward. In The Shape of Things to Come, Microsoft research leader Doug Burger and experts from across disciplines tease out…
| Doug Burger
Microsoft research lead Doug Burger introduces his new podcast series, "The Shape of Things to Come", an exploration into the fundamental truths about AI and how the technology will reshape the future.
| Abubakarr Jaye, Nigel Boachie Kumankumah, Chidera Biringa, Anjel Patel, Dayquan Julienne, Tianwei Chen, and Sulaiman Vesal
By mid-morning, a typical knowledge worker is already juggling a client report, a budget spreadsheet, a slide deck, and an email backlog, all interdependent and all demanding attention at once. For AI agents to be genuinely useful in that environment,…
Awards | ACM SIGCHI
Jacki O’Neill, founding Lab Director of Microsoft Research Africa, Nairobi, was given the 2026 Societal Impact Award by ACM SIGCHI for her research in computer science which has had extensive societal impact specifically in the areas of financial inclusion, future…
In the news | Microsoft on the Issues
Artificial intelligence is diffusing at an impressive speed, but its adoption around the world remains profoundly uneven. As Microsoft’s latest AI Diffusion Report shows, AI usage in the Global North is roughly twice that of the Global South. And this divide continues…
In the news | Microsoft on the Issues
Ahead of Mobile World Congress, where global leaders, governments, and industry convene at the world’s largest connectivity event, Microsoft is marking a major milestone in our efforts to expand digital access worldwide. In 2022, we made a bold commitment to expand internet…
By Taiwei Shi, Sihao Chen, Longqi Yang, Jaime Teevan Reinforcement Learning is at the core of building and improving frontier AI models and products. Yet most state-of-the-art RL methods learn primarily from outcomes: a scalar reward signal that says whether…
| Eric Horvitz, Andrew Jenks, and Jessica Young
As synthetic media grows, verifying what’s real, and the origin of content, matters more than ever. Our latest report explores media integrity and authentication methods, their limits, and practical paths toward trustworthy provenance across images, audio, and video.