Below please find an index of news and awards that recognize Microsoft researchers’ contribution to scientific research and commitment to advancing computer science.
There are hundreds of new cancer drugs in development and new research published minute to minute, helping doctors treat patients with personalized combinations that target the specific building blocks of their disease. The problem is…
Simon Peyton Jones and Dimitrios Vytiniotis have won the 2016 ACM SIGPLAN Most Influential ICFP Paper Award, which recognizes the impact of a paper presented at the International Conference on Functional Programming (ICFP) 10 years earlier. The paper,…
A new project aims to use sensors and clever algorithms to deliver water, fertilisers and pesticides only to crops that actually need them.
Sebastian Nowozin received the 2016 German Pattern Recognition Award on September 13 at the 38th German Conference on Pattern Recognition for his development of machine learning models and algorithms suitable for solving structured computer vision problems.
Nature has many languages. Project Florence takes advantage of the sensibility of plants to different light frequencies and uses it to trigger electrical responses by a plant and compares the similarities between plant signals and…
Steve Hodges, Gavin Smyth, and Ken Woodberry of Microsoft’s research lab in Cambridge, UK, received the UbiComp 2016 10-year Impact Award for the paper “SenseCam: A Retrospective Memory Aid.” The paper presents a wearable camera, SenseCam,…
Modern archiving technology cannot keep up with the growing tsunami of bits. But nature may hold an answer to that problem already.
The Council of State and Territorial Epidemiologists (CSTE) recently awarded the Castleton University Polling Institute a $400,000 contract to develop and pilot test an interactive health-related survey and journal system. Director of the Polling Institute…
Smart tattoos made out of super-thin electronics have been a thing for years, but now the technology is getting closer to fashionable prime time.
Computer programs often reflect the biases of their very human creators, but Microsoft researcher Adam Kalai’s latest project â a joint effort with Boston University â has focused on a solution called word embedding.
