Microsoft Research Blog

  1. diagram

    Factorized layers revisited: Compressing deep networks without playing the lottery

    From BiT (928 million parameters) to GPT-3 (175 billion parameters), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even climate impact. As a result, we’re witnessing exciting…

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    The science behind semantic search: How AI from Bing is powering Azure Cognitive Search

    Azure Cognitive Search is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive Services, and persistent storage of user-owned indexed content. At…
    March 2, 2021
  2. hexagonal AI icons on a blue background

    AAAI 2021: Accelerating the impact of artificial intelligence

    The purpose of the Association for the Advancement of Artificial Intelligence, according to its bylaws, is twofold. The first is to promote research in the area of AI, and the second is to promote the responsible use of these types of technology. The result was a 35th AAAI Conference on Artificial Intelligence (AAAI-21) schedule that broadens the possibilities of AI and is heavily reflective of a…
    February 24, 2021
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    Research Collection – Shall we play a game?

    From a research point of view, games offer an amazing environment in which to develop new machine learning algorithms and techniques. And we hope, in due course, that those new algorithms will feed back not just into gaming, but into many other domains. Beyond the…
    February 5, 2021