Recent Advances in Deep Learning at Microsoft: A Selected Overview

  • Li Deng | IEEE Computer Society & Signal Processing Society

Since 2009, Microsoft has engaged with academic pioneers of deep learning and has created industry-scale successes in speech recognition as well as in speech translation, object recognition, automatic image captioning, natural language, multimodal processing, semantic modeling, web search, contextual entity search, ad selection, and big data analytics. Much of these successes are attributed to the availability of big datasets for training deep models, the powerful general-purpose GPU computing, and the innovations in deep learning architectures and algorithms. In this talk, a selected overview will be given to highlight our center’s work in some of these exciting applications, as well as the lessons we have learned along the way as to what tasks are best solved by deep learning methods.

Speaker Details

Li Deng received the Ph.D. degree from the University of Wisconsin-Madison. He was an assistant professor, tenured associate and full professor at the University of Waterloo, Ontario, Canada during 1989-1999, and then joined Microsoft Research, Redmond, USA, where he currently leads R&D of application-focused deep learning and machine intelligence as Research Manager of its Deep Learning Technology Center. He is Fellow of the IEEE, and Editor-in-Chief of IEEE Signal Processing Magazine and of IEEE/ACM Transactions on Audio, Speech, and Language Processing.

    • Portrait of Li Deng

      Li Deng

      Partner Research Manager

    • Portrait of Jeff Running

      Jeff Running

Series: Microsoft Research Talks