Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
rStar-Math is a novel approach that significantly boosts the mathematical reasoning capabilities of small language models (SLMs). This innovative system enables SLMs to achieve performance levels comparable to, and even exceeding, OpenAI’s o1, despite a…
Microsoft’s generative artificial intelligence is making it possible to identify patterns in large populations, structure clinical information and simulate clinical trials, optimizing the development of new treatments.
Nontra Yantaprasert couldn’t wait to take her husband’s shorter and easier-to-pronounce last name. She didn’t know what kinds of problems it would cause. His last name is Null, the same word used by computer scientists…
AutoGen has undergone significant evolution since its inception, driven by the need for more efficient, flexible, and scalable agentic AI systems. The release of AutoGen v0.4 introduces a fundamental architectural shift, addressing prior inefficiencies and…
Nicole is one of the foremost experts in developer productivity, and author of the book Accelerate. She details how to think about, measure & improve developer productivity.
The library, robot, laser, microscope and platters of glass are all part of a research program named Project Silica. Richard Black directs this project at Microsoft Research in Cambridge, England. “Project Silica is a new…
Every year, 20% of all fishing gear in the world’s oceans is lost and an estimated 50,000 tons of lost fishing nets or ‘ghost nets’ end up in the oceans, posing a danger to a…
Microsoft and our partners are launching HeritageWatch.AI, a nonprofit that will use AI to protect cultural heritage sites across the globe and help us preserve humanity’s past for future generations.
With rural areas significantly lagging behind cities in computer use, research by Raffaella Sadun, Shane Greenstein, and colleagues finds that many Americans lack the digital literacy that’s increasingly needed in an AI world.
