Microsoft Research Blog

Microsoft Ability Initiative: A collaborative quest to innovate in image captioning for people who are blind or with low vision 

January 16, 2019 | Meredith Ringel Morris
Microsoft is committed to pushing the boundaries of technology to improve and positively influence all parts of society. Recent advances in deep learning and related AI techniques have resulted in significant strides in automated image captioning. However, current image captioning systems are not well-aligned with…

Recent Posts

  1. A Deep Learning Theory: Global minima and over-parameterization 

    December 10, 2018 | Zeyuan Allen-Zhu, Yuanzhi Li, and Zhao Song

    One empirical finding in deep learning is that simple methods such as stochastic gradient descent (SGD) have a remarkable ability to fit training data. From a capacity perspective, this may not be surprising— modern neural networks are heavily over-parameterized, with the number of parameters much…

  2. Unlikely research area reveals surprising twist in non-smooth optimization

    Unlikely research area reveals surprising twist in non-smooth optimization 

    December 4, 2018 | Sébastien Bubeck

    Modern machine learning is characterized by two key features: high-dimensional models and very large datasets. Each of these features presents its own unique challenges, from basic issues such as storing and accessing all of the data to more intricate mathematical quests such as finding good…

  3. The Microsoft Simple Encrypted Arithmetic Library goes open source

    The Microsoft Simple Encrypted Arithmetic Library goes open source 

    December 3, 2018 | Kristin Lauter, Kim Laine, and Sreekanth Kannepalli

    Today we are extremely excited to announce that our Microsoft Simple Encrypted Arithmetic Library (Microsoft SEAL), an easy-to-use homomorphic encryption library developed by researchers in the Cryptography Research group at Microsoft, is open source on GitHub under an MIT License for free use. The library…

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