Microsoft Research Blog

Data science

  1. Wanted: the next generation of data scientists 

    April 1, 2016

    By Jake Hofman and Justin Rao, Senior Researchers, Microsoft Research New York City You never know when the smallest seed of an idea will lead to groundbreaking work, work with the potential to have a societal impact. If you’re an undergrad attending college in the…

  2. Wanted: the next generation of data scientists 

    April 1, 2016

    By Jake Hofman and Justin Rao, Senior Researchers, Microsoft Research New York City You never know when the smallest seed of an idea will lead to groundbreaking work, work with the potential to have a societal impact. If you're an undergrad attending college in the…

  3. Predicting ocean chemistry using Microsoft Azure 

    February 2, 2016

    By Daron Green, Deputy Director, Microsoft Research Shellfish farmer Bill Dewey remembers the first year he heard of ocean acidification, a phrase that means a change in chemistry for ocean water. It was around 2008, and Dewey worked for Taylor Shellfish, a company that farms oysters…

  4. Bringing together history and data science with Microsoft Azure 

    January 29, 2016

    By Winnie Cui, Senior Research Program Manager, Microsoft Research Asia Andrea Nanetti is a historian and associate professor at the School of Art, Design and Media at Nanyang Technological University (NTU), Singapore. Some might think that, as a historian, he’d be an unlikely attendee at…

  5. Swimming in a deluge of user generated content 

    October 26, 2015

    The Internet is awash in user generated content (UGC)—from blogs, reviews, and Q&As, to wikis, tweets, and Facebook posts. And let’s not forget photo- and video-sharing sites: every second, one hour of video is uploaded to YouTube, and an average of more than 80 million…

  6. Planning for SIGMOD/PODS 2016: Upcoming dates and a review of SIGMOD 2015 

    October 15, 2015

    Preparations for the 2016 ACM SIGMOD/PODS conference are already under way. SIGMOD is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. Upcoming SIGMOD dates Research paper second submission dates November…

  7. The summer of data science 

    October 8, 2015

    While we live and breathe data science year-round at Microsoft Research, this summer, we offered a broad range of data science education opportunities for young researchers. Participation in these events was extremely rewarding—for both the students and the organizers. Students and advisors at the National…

  8. Innovation from the ground up and into the cloud 

    June 25, 2015

    Standing atop the tallest educational edifice in the world—the 240-meter (787-foot) tower of Lomonosov Moscow State University (MSU)—really makes you think about the impact of education and research. This is home to some of the brightest minds in the world, including 11 Nobel Prize and…

  9. Smartphone app takes aim at noise pollution 

    June 23, 2015

    A special report in the April 19, 2014, issue of The Economist predicted that 70 percent of China’s population—some 1 billion people—will live in cities by 2030. While China’s urban growth offers a higher standard of living to many citizens, it also creates serious problems.…

  10. Equation of a Fuzzing Curve — Part 2/2 

    January 6, 2015 | Eugene Bobukh

    See Part 1> Can you predict how many bugs will be found at infinity? No. There seems to be a fundamental limit on fuzzing curve extrapolation. To see that, consider bug distribution function of the following form: where p0 >> p1 but a0 ≈ a1…

  11. Equation of a Fuzzing Curve — Part 1/2 

    December 18, 2014 | Eugene Bobukh

    Introduction While fuzzing, you may need to extrapolate or describe analytically a "fuzzing curve", which is the dependency between the number of bugs found and the count of fuzzing inputs. Here I will share my approach to deriving an analytical expression for that curve. The…