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  1. chart: CTDC global dataset on victims of trafficking

    Real-world evidence and the path from data to impact

    From the intense shock of the COVID-19 pandemic to the effects of climate change, our global society has never faced greater risk. The Societal Resilience team at Microsoft Research was established in recognition of this risk and tasked with developing open technologies that enable a scalable response in times of crisis. And just as we think about scalability in a holistic…
    September 23, 2021 by Darren Edge and Jonathan Larson
  2. Technical diagram of MEB model. MEB is a sparse neural network model composed of an input layer taking in binary features, a feature embedding layer transforming each binary feature into a 15-dimension vector, a sum pooling layer applied on each of 49 feature groups and concatenated to produce a 735-dimension vector, which is then passed through two dense layers to produce a click probability. Features shown in this figure are generated from the example query “Microsoft Windows” and document

    Make Every feature Binary: A 135B parameter sparse neural network for massively improved search relevance

    Recently, Transformer-based deep learning models like GPT-3 have been getting a lot of attention in the machine learning world. These models excel at understanding semantic relationships, and they have contributed to large improvements in Microsoft Bing’s search experience and surpassing human performance on the SuperGLUE…
    August 4, 2021 by Junyan Chen, Frédéric Dubut, Jason (Zengzhong) Li, and Rangan Majumder
  3. Micah Stampley, Lisa Nakamura posing for a photo

    Lecture series aims to help spur dialogue around race and technology

    Race and Technology: A Research Lecture Series features 14 distinguished scholars and domain experts from a diverse range of research areas and disciplines. From top left: Dr. Sareeta Amrute, Dr. Kim TallBear, Dr. Charlton McIlwain, Dr. Ruha Benjamin, Dr. Lisa Nakamura, Dr. Simone Browne, and…
    July 21, 2021
  4. Traditional cellular network infrastructure compared to cellular network infrastructure in the Microsoft cloud Two graphics. The first depicts traditional cellular network infrastructure, beginning with cell towers receiving data and transferring it to physical buildings--local hubs, then central exchanges and finally data centers. The second depicts cloudified cellular network infrastructure, with cell towers transmitting data to telco edges and Microsoft edges. This is also labelled "RAN in the cloud". The data then flows to the Microsoft cloud, including core network and OSS/BSS as a service.

    Project Arno: How Microsoft Research created the technology and industry momentum for Azure to empower telecom operators in the cloud

    Editor’s note: In recent years, telecommunications operators have faced a growing challenge to meet surging global demand for immersive online services and collaboration tools. Upgrading their proprietary networks to prepare for 5G and beyond would require major capital expenditures, even as competition was driving down…
    July 19, 2021 by Yongguang Zhang and Bozidar Radunovic