There’s a lot of excitement around self-driving cars, delivery drones, and other intelligent, autonomous systems, but before they can be deployed at scale, they need to be both reliable and safe. That’s why Gurdeep Pall, CVP of Business AI at Microsoft, and Dr. Ashish Kapoor,…
Episode 64, February 20, 2019 - Dr. Layla El Asri talks about the particular challenges she and other scientists face in building sophisticated dialogue systems that lay the foundation for talking machines. She also explains how reinforcement learning, in the form of a text game…
Episode 11, February 7, 2018 - Big data is a big deal, and if you follow the popular technical press, you’ll have heard all the metaphors: data is the new oil, the new bacon, the new currency, the new electricity. It’s even been called the…
If you’ve ever watched King of Kong: Fistful of Quarters, you know what a big deal it is to beat a video arcade game that was designed not to lose. Most humans can’t even come close. Enter Harm van Seijen, and a team of machine…
Games are popular as a test-bed for new machine learning techniques because they can be very challenging and allow for easy analysis of new learning techniques in a controlled environment. For reinforcement learning, where the goal is to learn good behavior in a data-driven way,…
By Jim Pinkelman, Senior Director, Microsoft Research Since 2004, the Microsoft Research PhD Scholarship Programme in Europe, the Middle East, and Africa (EMEA) has supported groundbreaking PhD projects. This year we have 17 projects that span six countries, and include research areas such as computational biology,…
By Christopher Bishop, Distinguished Scientist and Director of Microsoft Research Cambridge Lab This month, I will attend the Conference and Workshop on Neural Information Processing Systems (NIPS), the premier gathering in the machine learning field. I’ve participated in this conference most years since it began…
By Jennifer Wortman Vaughan, Senior Researcher, Microsoft Research Over the last decade, computer scientists have harnessed crowds of Internet users to solve tasks that are notoriously difficult to crack with computers alone, such as determining whether an image contains a tree, rating the relevance of…
By John Roach, Writer, Microsoft Research In the future, machine learning algorithms may examine our genomes to determine our susceptibility to maladies such as heart disease and cancer. Between now and then, computer scientists need to train the algorithms on genetic data, bundles of which…
By Andrew Fitzgibbon, Principal Researcher, Microsoft Research Cambridge This year, the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place at Caesar's Palace from June 26–July 1 in Las Vegas, Nevada. CVPR is the premier annual computer vision event that includes the…
By Athima Chansanchai, Microsoft News Center Staff Machine learning covers a lot of ground. At Microsoft, it’s being incorporated to detect lies, recognize human responses and forecast finances; as well as improve search, natural language processing, advertising, security and gaming. It’s a broad discipline that…
By George Thomas, Jr., Writer, Microsoft Advances in machine learning and artificial intelligence aren’t just improving the quality of information available to us -- they’re also making it easier to interact with the devices we use to retrieve and manipulate the information. At ACM CHI…
