Microsoft Research (MSR) is the research subsidiary of Microsoft. It was created in 1991 by Richard Rashid with the intent to advance state-of-the-art computing and solve difficult world problems through technological innovation in collaboration with academic, government, and industry researchers. The Microsoft Research team employs more than 1,000 computer scientists, physicists, engineers, and mathematicians, including Turing Award winners, Fields Medal winners, MacArthur Fellows, and Dijkstra Prize winners.
Between 2010 and 2018, 154,000 AI patents were filed worldwide, with Microsoft having by far the largest percentage of those patents, at 20%. According to estimates in trade publications, Microsoft spent about $6 billion annually in research initiatives from 2002-2010 and has spent from $10-14 billion annually since 2010.
Expand the state of the art in each of the areas in which we do research
Rapidly transfer innovative technologies into Microsoft products
Ensure that Microsoft products have a future
Microsoft Research includes the core Microsoft Research labs and Microsoft Research AI, Microsoft Research NeXT (for New Experiences and Technologies), and other incubation efforts all directed by corporate vice president Peter Lee.
Microsoft research is categorized into the following broad areas:
Microsoft Research Redmond was founded on the Microsoft Redmond campus in 1991. It has about 350 researchers and is headed by Donald Kossmann. The bulk of research on the Redmond, Washington campus focuses on research areas such as theory, artificial intelligence, machine learning, systems and networking, security, privacy, HCI, and wearable technologies.
Microsoft Research Cambridge was founded in the United Kingdom in 1997 by Roger Needham and is headed by Christopher Bishop. Antony Rowstron and Abigail Sellen are Deputy Directors. The Cambridge lab conducts research on a wide variety of topics, including machine learning, security and information retrieval, and maintains close ties to the University of Cambridge and the University of Cambridge Computer Laboratory.
Microsoft Research Asia was founded in Beijing in November 1998. Microsoft Research Asia has expanded rapidly and grown into a world-class research laboratory with more than 230 researchers and developers and more than 300 visiting scientists and students, whose focus includes natural user interfaces, next-generation multimedia, data-intensive computing, search and online advertising, and computer science fundamentals.
Microsoft Research India is sited in Bengaluru (Bangalore) and is headed by Sriram Rajamani.
Microsoft Research Station Q, located on the campus of the University of California, Santa Barbara, was founded in 2005. Station Q's collaborators explore theoretical and experimental approaches to creating the quantum analog of the traditional bit—the qubit. The group is led by Michael Freedman.
Microsoft Research New England was established in 2008 in Cambridge, Massachusetts by Jennifer Chayes adjacent to the MIT campus. The New England lab builds on Microsoft's commitment to collaborate with the broader research community and pursues new, interdisciplinary areas of research that bring together core computer scientists and social scientists to understand, model, and enable the computing and online experiences of the future.
Microsoft Research New York City was established on May 3, 2012. Jennifer Chayes serves as Managing Director of this location as well as the New England lab, with researchers from both labs working in concert. The New York City lab collaborates with academia and other Microsoft Research labs to advance the state of the art in computational and behavioral social sciences, computational economics and prediction markets, machine learning, and information retrieval.
Microsoft Research Montreal was established after the acquisition of Maluuba by Microsoft in 2017. Jennifer Chayes serves as Managing Director of this location as well as the New England and New York City labs. The Montreal lab collaborates with academia and other Microsoft Research labs to advance the state of the art in natural language processing (specifically machine reading comprehension), deep learning and reinforcement learning.