Microsoft Research Lab – Redmond
新闻与深度文章
新闻报道 | Communications of the ACM
Seeing More Clearly (ACM .pdf)
Communications of the ACM interviewed Fei-Fei Li, Rob Fergus, Richard Zemel and Xiaodong He on recent progress in computer vision and language processing, interview highlighted in “Seeing More Clearly” in the January 2016 issue of CACM.
奖项 | IEEE
Sudipta Sengupta named an IEEE Fellow
Sudipta Sengupta named IEEE Fellow (opens in new tab) for contributions to network design, routing and applications to Internet backbone, data centers, and peer-to-peer systems.
Mary Czerwinski has been honored as a Fellow of the Association for Computing Machinery for significant contributions to human-computer interaction and leadership in the CHI community. Read more >
By George Thomas Jr., Writer, Microsoft Adding to an already lengthy list of accolades, Li Deng, partner research manager in Microsoft’s Redmond, Wash. lab, has received the 2015 IEEE Signal Processing Society Technical Achievement Award for outstanding contributions to deep…
新闻报道 | The New York Times
Data Storage on DNA Can Keep It Safe for Centuries
The raw storage capacity of DNA is staggering compared with even the most advanced electronic or magnetic storage systems.
奖项 | American Mathematical Society
Kristin Lauter elected to the 2015 Class of Fellows of the American Mathematical Society
Kristin Lauter was elected to the 2015 Class of Fellows of the American Mathematical Society “for contributions to arithmetic geometry and cryptography as well as service to the community.”
Li Deng received the prestigious IEEE Signal Processing Society Technical Achievement Award for outstanding contributions to deep learning and to automatic speech recognition. Read more >
Susan Dumais, Edward Cutrell, JJ Cadiz, Gavin Jancke, Raman Sarin, and Daniel C. Robbins received the 2015 ACM SIGIR Test of Time Paper Award (opens in new tab) for research that had long-lasting influence, including impact on a subarea of…
新闻报道 | The Guardian
Microsoft has made a computer that can recognise a dog in a bike basket
The system uses natural language processing, which breaks down a scene into simple language that a human would use (e.g. what is in the left side behind me?).