Microsoft Research News and Highlights

A grad student who hadn’t worked on a quantum simulator before found the tool he needed to solve a real problem and win the Quantum Challenge. Learn more about his work and how the finalists seized the opportunity to do hands-on quantum computing.

Learn how Microsoft Research and the National Center for Women & Information Technology are working with U.S. academic institutions to develop and implement initiatives that recruit and retain women in the computing and technology fields of study.

Artificial intelligence bots that read, classify, and tag every document published to the web in real time are growing the massive collection of academic knowledge, called Microsoft Academic Graph, by one million articles per week.

Citing 25 years of significant impact on software engineering research, the IEEE Computer Society Technical Council on Software Engineering has awarded Microsoft Research the 2016 TCSE Distinguished Synergy Award.

Microsoft researchers are looking at ways to better secure both the latest, cutting-edge consumer technologies and the more traditional tools that we rely on for everyday activities like accessing bank records and identifying ourselves at work.

Some 200 scholars, scientists, and researchers attended this year's Latin American Faculty Summit, which showcased advancements in AI technology while highlighting the specific quality-of-life applications of that work.

Microsoft's Jeannette M. Wing will serve as an evaluating judge for a new competition to award a $100 million grant to a single proposal designed to help solve a critical problem affecting people, places or the planet.

The potential of using engagement with search engines to predict an eventual pancreatic cancer diagnosis –- and possibly buy critical time for a medical response -- is demonstrated in a new study by Microsoft researchers.

The global Data Science Student Challenge gives students -- undergrads and graduate, computer science majors and students from other disciplines -- access to large datasets and Microsoft Azure Machine Learning, and are let loose to tackle real problems.