Microsoft Research Blog

  1. Project InnerEye open-source deep learning toolkit: Democratizing medical imaging AI

    For over a decade, the Project InnerEye team at Microsoft Research Cambridge has been developing state-of-the-art machine learning methods for the automatic, quantitative analysis of three-dimensional medical images. An important application is to assist clinicians for image preparation and planning tasks for radiotherapy cancer treatment.…
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    Dialogue as Dataflow: A new approach to conversational AI

    By the Semantic Machines research team “Easier said than done.” These four words reflect the promise of conversational AI. It takes just seconds to ask When are Megan and I both free? but much longer to find out manually from a calendar. Indeed, almost everything…
    September 21, 2020

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  1. Adversarial robustness as a prior for better transfer learning

    Editor’s note: This post and its research are the collaborative efforts of our team, which includes Andrew Ilyas (PhD Student, MIT), Logan Engstrom (PhD Student, MIT), Aleksander Mądry (Professor at MIT), Ashish Kapoor (Partner Research Manager). In practical machine learning, it is desirable to be…
    August 11, 2020 by Hadi Salman