• Popular Microsoft Selfie app updated with social sharing

    Posted by George Thomas Jr.

    The science behind the selfie

    Released less than a month ago and among the best new apps for iOS, the popular Microsoft Selfie app is adding new features.

    Microsoft’s Beijing based team behind the app has been paying close attention to user feedback, and the latest update adds two new features: easier social sharing and an updated user interface.

    And while the app and the updates might seem rather mundane, rest assured: there is serious science behind the selfie.

    The science behind the selfie

  • Microsoft-led research team wins Marr prize for outstanding computer vision research

    Posted by Allison Linn

    Antonio Criminisi

    A team led by a Microsoft researcher has won the prestigious Marr prize in computer vision research for a paper that presents an alternative to what is currently the most popular method of teaching computers to recognize images.

    The Marr prize winner was announced Monday at the International Conference on Computing Vision in Santiago, Chile. The prize is awarded every two years and is considered a top honor for computer vision researchers.

    The award-winning paper, Deep Neural Decision Forests, showed that by using a technique called random forests researchers could create a system that was just as good, if not better, at teaching computers to recognize images than the system many leading computer vision researchers are using today.

  • IEEE Fellow Sengupta transformed cloud computing, data storage, network routing

    Posted by George Thomas Jr.

    Sudipta Sengupta

    For Sudipta Sengupta, Microsoft Research is a magical place.

    "At Microsoft and the places I was at previously, my work has often been in collaboration with researchers and engineers, so I have benefitted a lot from interacting with and learning from my colleagues," he says.

    A principal researcher in Microsoft's research lab in Redmond, Washington, Sengupta's collaborations have resulted in such groundbreaking work in networking and data storage and management that he recently was named an IEEE Fellow. That's a prestigious honor bestowed only to less than 0.1 percent of the organization's membership. He also has been named a Distinguished Scientist by the Association for Computing Machinery.

  • ACM names five Microsoft researchers as Fellows, Distinguished Scientists

    Posted by George Thomas Jr.

    ACM Fellows

    Three Microsoft researchers have been honored as Fellows of the Association for Computing Machinery. Mary Czerwinski, Cynthia Dwork and Sriram Rajamani were cited for their significant contributions to the development and application of computing across multiple disciplines.

    The ACM also named two Microsoft researchers to their Distinguished Scientists list: Ratul Mahajan and Nachiappan Nagappan for their significant accomplishments or impact within the computing field.

  • Microsoft Computational Network Toolkit offers most efficient distributed deep learning computational performance

    Posted by Xuedong Huang, Chief Speech Scientist

    Xuedong Huang

    For more than 20 years, Microsoft has invested in advanced speech recognition research and development. It's great to see the return on that investment in products and services such as Windows Cortana, Skype Translator, and Project Oxford Speech APIs. Microsoft researchers pioneered using deep neural networks for speech recognition, and earlier this year, our speech researchers shared our deep learning tools with the speech research community when we introduced the Computational Network Toolkit (CNTK ) under an open source license at the ICASSP Conference in April 2015.

    Since the debut of CNTK in April, we've significantly improved machine learning efficiency with Azure GPU Lab.