Microsoft Research Blog

The Microsoft Research blog provides in-depth views and perspectives from our researchers, scientists and engineers, plus information about noteworthy events and conferences, scholarships, and fellowships designed for academic and scientific communities.

Most recent

  1. Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy

    Episode 117 | June 3, 2020 - MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it out of the lab and into the real world. One of those researchers is Dr. Akshay Krishnamurthy and today, he explains how his work on feedback-driven data collection and provably efficient reinforcement learning…

    June 3rd, 2020

  2. Meeting Insights: Contextual assistance for everyone

    It’s a big day for you. Back-to-back meetings are scheduled with critical customers and partners, and a parent-teacher conference is sandwiched in there as well. As you’re headed toward the last meeting, suddenly you cannot remember the key talking points. Who sent you the pre-read notes? Was it Taylor? No, possibly Drew. No luck. You are about two minutes from reaching the meeting room, and you want more than anything to pull out your phone…

    May 28th, 2020

  3. Old tools, new tricks: Improving the computational notebook experience for data scientists

    As technology has advanced, the way we accomplish things in our lives has shifted. While new tech is influencing such basic human activities as communication, for instance, encouraging us to reconsider what it means to connect with one another, technological innovations are also changing approaches to building tech itself. Cloud computing has enabled people, including those developing technology, to be more flexible about how and where they work, loosening their ties to local computers and…

    May 27th, 2020

  4. Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

    Episode 116 | May 27, 2020 - Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI. Today, he tells us how he’s using reinforcement learning and HAIbrid algorithms to tap the best of both human and machine intelligence and develop AI that’s minimally disruptive, synergistic with human solutions, and…

    May 27th, 2020

  5. Quantum-safe cryptography: Securing today’s data against tomorrow’s computers webinar

    June 4, 2020 10:00 AM (PT) - In this webinar, Principal Program Manager Christian Paquin, a cryptography specialist in the Security and Cryptography group at Microsoft Research, will present recent progress in the development of a quantum-safe cryptography. Quantum-safe cryptography is being developed using mathematical problems believed to be more difficult for a quantum computer to solve than such existing methods as factoring and discrete logarithms.

    May 20th, 2020

  6. Fairness and interpretability in AI: Putting people first

    At the 2005 Conference on Neural Information Processing Systems, researcher Hanna Wallach found herself in a unique position—sharing a hotel room with another woman. Actually, three other women to be exact. In the previous years she had attended, that had never been an option because she didn’t really know any other women in machine learning. The group was amazed that there were four of them, among a handful of other women, in attendance. In that…

    May 19th, 2020

  7. Research Collection: Tools and Data to Advance the State of the Art

    Editor’s Note: In the diverse and multifaceted world of research, individual contributions can add up to significant results over time. In this new series of posts, we’re connecting the dots to provide an overview of how researchers at Microsoft and their collaborators are working towards significant customer and societal outcomes that are broader than any single discipline. (Visit this collection to learn about the work Microsoft researchers are doing to advance responsible AI.) Here, we’ve…

    May 19th, 2020

  8. ZeRO-2 & DeepSpeed: Shattering barriers of deep learning speed & scale

    In February, we announced DeepSpeed, an open-source deep learning training optimization library, and ZeRO (Zero Redundancy Optimizer), a novel memory optimization technology in the library, which vastly advances large model training by improving scale, speed, cost, and usability. DeepSpeed has enabled researchers to create Turing Natural Language Generation (Turing-NLG), the largest publicly known language model at 17 billion parameters. From there, we have been continuing to innovate at a fast rate, pushing the boundaries of…

    May 19th, 2020

  9. Objects are the secret key to revealing the world between vision and language

    Humans perceive the world through many channels, such as images viewed by the eyes or voices heard by the ears. Though any individual channel might be incomplete or noisy, humans can naturally align and fuse the information collected from multiple channels to grasp the key concepts needed for a better understanding of the world. One of the core aspirations in artificial intelligence is to develop algorithms that endow computers with an ability to effectively learn…

    May 15th, 2020

  10. Diving into Deep InfoMax with Dr. Devon Hjelm

    Episode 115 | May 13, 2020 - Dr. Devon Hjelm is a senior researcher at the Microsoft Research lab in Montreal, and on the podcast, he joins me to dive deep into his research on Deep InfoMax, a novel self-supervised learning approach to training AI models – and getting good representations – without human annotation. He also tells us how an interest in neural networks, first human and then machine, led to an inspiring career…

    May 13th, 2020

  11. Where’s my stuff? Developing AI with help from people who are blind or low vision to meet their needs

    Microsoft AI for Accessibility is funding the ORBIT research project, which is enlisting the help of people who are blind or low vision to build a new dataset. People who are blind or low vision can contribute to the project by providing videos of things found in their daily lives. The goal is to improve automatic object recognition to better identify specific personal items. The data will be used for training and testing Artificial Intelligence…

    May 12th, 2020

  12. Post-quantum cryptography: Supersingular isogenies for beginners webinar

    May 28, 2020 10:00 AM (PT) - In this webinar led by Microsoft researcher Dr. Craig Costello, you will examine why post-quantum cryptography is so critical as we move closer to realizing quantum computing, and you will learn the basics of supersingular isogeny Diffie-Hellman (SIDH), which is one of the popular candidates for post-quantum key exchange. The best known classical and quantum algorithms for attacking the SIDH protocol have exponential runtimes, which is why SIDH has…

    May 7th, 2020