Microsoft Research Blog

The Microsoft Research blog provides in-depth views and perspectives from our researchers, scientists and engineers, plus information about noteworthy events and conferences, scholarships, and fellowships designed for academic and scientific communities.

Most recent

  1. Using transfer learning to address label noise for large-scale image classification

    In this post, we introduce how to use transfer learning to address label noise for large-scale image classification tasks. We’ll avoid describing the approach using too much math. If you are interested in the deeper theory behind this approach, please refer to our paper, “CleanNet: Transfer learning for scalable image classifier training with label noise,” presented at CVPR 18 in Salt Lake City, Utah. One of the key factors driving recent advances in image classification…

    June 15th, 2018

  2. Believing is seeing: Insightful research illuminates the newly possible in the realm of natural and synthetic images

    A pair of groundbreaking papers in computer vision open new vistas on possibilities in the realms of creating very real-looking natural images and synthesizing realistic, identity-preserving facial images. In CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training, presented this past October at ICCV 2017 in Venice, the team of researchers from Microsoft and the University of Science and Technology of China came up with a model for image generation based on a variational autoencoder generative adversarial…

    June 14th, 2018

  3. Teaching computers to see with Dr. Gang Hua

    Episode 28, June 13, 2018 - Dr. Hua talks about how the latest advances in AI and machine learning are making big improvements on image recognition, video understanding and even the arts. He also explains the distributed ensemble approach to active learning, where humans and machines work together in the lab to get computer vision systems ready to see and interpret the open world.

    June 13th, 2018

  4. Microsoft Unveils FASTER – a key-value store for large state management

    At SIGMOD 2018, a team from Microsoft Research will be presenting a new embedded key-value store called FASTER, described in their paper “FASTER: A Concurrent Key-Value Store with In-Place Updates”. As its name suggests, FASTER makes a major leap forward in terms of supporting fast and frequent lookups and updates of large amounts of state information – a particularly challenging problem for applications in the cloud today. For example, in scenarios such as Internet-of-Things, billions…

    June 8th, 2018

  5. Going beyond the research experience – Exceptional mother in 1970s Romania inspired Stefan Saroiu to know his destiny at a very early age.

    “Growing up, my mom was a programmer with a computer science degree at a time when there was no computer science department in Romania,” remembers Microsoft senior researcher Stefan Saroiu with a smile that is palpable over the telephone. As a child in late 1970s – early 1980s Bucharest, accompanying his mother to her job gave him hands-on access to an assortment of what at the time were cutting-edge minicomputers. “She inspired me and I…

    June 6th, 2018

  6. The democratization of data science with Dr. Chris White

    Episode 27, June 6, 2018 - Dr. White talks about his “problem-first” approach to research, explains the vital importance of making data understandable for everyone, and shares the story of how a one-week detour from academia turned into an extended tour in Afghanistan, a stint at DARPA, and, eventually, a career at Microsoft Research.

    June 6th, 2018

  7. Optimizing Barnes-Hut t-SNE

    Ten years ago, while writing a physics engine, I learned about the Barnes-Hut algorithm for the gravitational n-body problem. Normally, computing the Newtonian gravitational forces between n bodies requires evaluations of Newton's law of universal gravitation, as every body exerts a force on every other body in the system. Barnes-Hut is an approximation that brings that complexity down to , by treating clusters of faraway objects as single particles. An octree is used to subdivide…

    May 30th, 2018

  8. Making intelligence intelligible with Dr. Rich Caruana

    Episode 26, May 30, 2018 - Dr. Rich Caruana talks about how the rise of deep neural networks has made understanding machine predictions more difficult for humans, and discusses an interesting class of smaller, more interpretable models that may help to make the black box nature of machine learning more transparent.

    May 30th, 2018

  9. Advancing accessibility with Dr. Meredith Ringel Morris

    Episode 25, May 23, 2018 - Dr. Morris gives us some fascinating insights into the world of “ability,” talks about how technology is augmenting not only sensory and motor abilities, but cognitive and social abilities as well, and shares how Microsoft, through its AI for Accessibility initiative, is committed to extending the capabilities and enhancing the quality of life for every person on the planet.

    May 23rd, 2018

  10. Bringing low-resource languages and spoken dialects into play with Semi-Supervised Universal Neural Machine Translation

    Machine translation has become a crucial component in the advancing of global communication. Millions of people are using online translation systems and mobile applications to communicate across language barriers. Machine translation has made rapid advances in recent years with the deep learning wave. Microsoft Research recently achieved a historic milestone in machine translation – human parity in translation of news articles from Chinese to English. Our state-of-the-art approach is a Neural Machine Translation system that…

    May 17th, 2018

  11. Insights on the future of video calling in emergency situations

    For most of us, a call to emergency services is a rare act, or one thankfully that we’ve never had to take. Anyone having had to make that call often will, in a calmer future moment, reflect on what transpired during it – the quality of the service, the professionalism and empathy of the call takers, and perhaps most importantly how information crucial to the outcome was conveyed. The communication aspect of emergency calls can…

    May 16th, 2018

  12. Not lost in translation with Arul Menezes

    Episode 24, May 16, 2018 - Menezes talks about how the advent of deep learning has enabled exciting advances in machine translation, including applications for people with disabilities, and gives us an inside look at the recent “human parity” milestone at Microsoft Research, where machines translated a news dataset from Chinese to English with the same accuracy and quality as a person.

    May 16th, 2018