Microsoft Research Blog

deep neural networks (DNNs)

  1. An overview of PipeDream's workflow

    PipeDream: A more effective way to train deep neural networks using pipeline parallelism 

    October 28, 2019 | Amar Phanishayee

    Deep Neural Networks (DNNs) have facilitated tremendous progress across a range of applications, including image classification, translation, language modeling, and video captioning. DNN training is extremely time-consuming, needing efficient multi-accelerator parallelization. In “PipeDream: Generalized Pipeline Parallelism for DNN Training,” published at the 27th ACM Symposium…

  2. How technology can bridge language gaps 

    May 14, 2013

    Speech-to-speech translation promises to help connect our world Among the futuristic gadgets in the classic TV show Star Trek, none seemed more useful than the universal translator, a handheld gizmo that helped foster understanding among intergalactic civilizations. Well, we needn’t travel beyond the solar system to…

  3. Speech Recognition Leaps Forward 

    August 29, 2011

    By Janie Chang, Writer, Microsoft Research During Interspeech 2011, the 12th annual Conference of the International Speech Communication Association being held in Florence, Italy, from Aug. 28 to 31, researchers from Microsoft Research will present work that dramatically improves the potential of real-time, speaker-independent, automatic speech…