Microsoft Research Webinars

Microsoft Research Webinars

  1. two small pictures of besmira and Ece next to the title of their webinar on tooling fore responsible AI

    In pursuit of responsible AI: Bringing principles to practice webinar

    The webinar will present examples of how these learnings are shaping our research on developing principles and tools for bringing the AI principle of reliability and safety to reality. In particular, it will showcase an ecosystem of open-source tools that are intended to accelerate the machine learning (ML) development life cycle by identifying and mitigating failures in a faster, systematic, and rigorous way.
    March 18, 2021
  2. a woman posing for a photo

    Fairness-related harms in AI systems: Examples, assessment, and mitigation webinar

    AI has transformed modern life via previously unthinkable feats, from machines that can master the ancient board game Go and self-driving cars to developments we experience more routinely, such as virtual agents and personalized product recommendations. Simultaneously, these new opportunities have raised new challenges—most notably, challenges that have highlighted the potential for AI systems to cause fairness-related harms. Indeed, the fairness of AI systems is one of the key concerns facing society as AI continues…
    March 11, 2021
  3. a picture of junwon and zygmunt next to the title of their webinar on computer vision

    Microsoft Vision Model ResNet-50: Pretrained vision model built with web-scale data webinar

    In this webinar, join Junwon Park and Zygmunt Lenyk, to learn how the team built Microsoft Vision Model using multi-task learning and web-supervised datasets. You’ll examine how the model lowers cost in a production setting while achieving state-of-the-art performance by using multi-task learning and optimizing separately for multiple classification tasks, including ImageNet-22k, COCO, and two web-supervised datasets of 40 million image-label pairs collected from image search engines.
    February 25, 2021

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  1. Sam Devlin, Martin Balla, Diego Pérez Liébana, Raluca Gaina

    Reinforcement learning in Minecraft: Challenges and opportunities in multiplayer games webinar

    In this webinar, learn how the latest AI techniques can be applied to multiplayer games in the challenging and diverse 3D environment of Minecraft. Join the researchers as they demonstrate how Project Malmo—a platform for AI experimentation built on Minecraft—provides an ideal environment for designing different and rich training tasks and how reinforcement learning agents can be trained in these scenarios. They’ll provide examples of tasks, agent implementations, and the latest research done in this…
    February 18, 2021
  2. a picture of lijuan and xiaowei next to their webinar title on AI advances in image captioning

    AI advances in image captioning: Describing images as well as people do webinar

    This webinar will focus on some of the recent vision-language pretraining (VLP) approaches for image captioning. We will cover our latest approaches, including object-semantics aligned pretraining (OSCAR) and visual-vocabulary pretraining (VIVO). We will also discuss their key principles and how we address the core challenges in image caption generation. Join us to learn how our discovery leads to a new image captioning framework that achieves state-of-the-art performance on the nocaps benchmark (developed to evaluate NOC…
    February 11, 2021
  3. two headshots of ozan and anton next to their webinar title on innereye

    Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source webinar

    In this webinar, Dr. Ozan Oktay and Dr. Anton Schwaighofer will analyze these challenges within the context of image-guided radiotherapy procedures and will present the latest research outputs of Project InnerEye in tackling these challenges. The first part of the webinar will focus on a research study that evaluates the potential clinical impact of DL models within the context of radiotherapy planning procedures. The second part of the talk will introduce the open-source InnerEye Deep…
    January 28, 2021
  4. a picture of eyal next to his webinar title on virtual reality

    Enhancing mobile work and productivity with virtual reality webinar

    In this webinar, Microsoft Researcher Eyal Ofek presents a summary of research investigating opportunities and challenges for realizing a mobile VR office environment. In particular, you’ll learn how VR can be mixed with standard off-the-shelf equipment (such as tablets, laptops, or desktops) to enable effective, efficient, and ergonomic mobile knowledge work.
    December 15, 2020
  5. A picture of Mar Gonzalez Franco next to her webinar title about Avatars

    Avatars: Finding a sense of self and others in the virtual world webinar

    In the last decade, we’ve seen fast-paced progress in spatial computing and its convergence with AI, where spatial computing solutions like virtual reality and augmented reality are becoming a main interaction tool. These advancements are moving us from experiences in which digital content is confined to screens toward experiences in which users are surrounded by the digital content. However, anyone who’s entered a VR platform realizes that while they may encounter hand renderings that enable…
    December 9, 2020
  6. Foundations of causal inference and its impacts on machine learning webinar

    In this webinar, join Microsoft researchers Amit Sharma and Emre Kıcıman to learn about the fundamentals of causal inference. You will learn how a target question of cause and effect can be captured in a formal graphical model and answered systematically using available data. The researchers will introduce a four-step causal modeling framework for analyzing decision-making tasks and walk-through code examples using the DoWhy Python library that implements the framework. You will also discover how…
    December 3, 2020
  7. Daniel McDuff and Xin Lui's headshot appears next to their webinar title, camera based health sensing now on demand

    Camera-based non-contact health sensing webinar

    In this webinar, Microsoft Principal Researcher Daniel McDuff and University of Washington PhD student Xin Liu will present an overview of computer vision methods that leverage ordinary webcams to measure physiological signals (for example, peripheral blood flow, heart rate, respiration, and blood oxygenation) without contact with the body. Learn about some examples of state-of-the-art neural models that enable on-device sensing even in resource-constrained settings and understand some of the challenges and exciting research opportunities in…
    November 23, 2020