November 23, 2020
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…
October 15, 2020
In this webinar, Microsoft researchers Hoifung Poon, Senior Director of Biomedical NLP, and Jianfeng Gao, Distinguished Scientist, will challenge this assumption by showing that for domains with abundant unlabeled text, such as biomedicine, pretraining language models from scratch results in substantial gains over continual pretraining…
September 10, 2020
In this webinar, Dan Bohus, a Senior Principal Researcher in the Perception and Interaction Group at Microsoft Research, will introduce Platform for Situated Intelligence, an open-source framework that aims to address these challenges and accelerate and simplify the development, study, debugging, and maintenance of multimodal, integrative…
August 6, 2020
The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. With the goal of advancing large model training by improving scale, speed, cost, and usability…
July 30, 2020
Image retrieval systems allow individuals to find images that are semantically similar to a query image. This serves as the backbone of reverse image search engines and many product recommendation engines. Restricting an image retrieval system to particular subsets of images can yield new insights…
July 9, 2020
In this webinar, Sai Vemprala, a Microsoft researcher, will introduce Microsoft AirSim, an open-source, high-fidelity robotics simulator, and he demonstrates how it can help to train robust and generalizable algorithms for autonomy. He will explain the features of Microsoft AirSim while giving an overview of some…
April 30, 2020
In this webinar, Chris Lovett, Principal Software Engineer at Microsoft Research, will introduce Coyote and demonstrate how it can help developers write correct async code with confidence. To convey this complicated subject in a practical way, this webinar will walk you through Coyote sample code…
January 22, 2020
In this webinar led by Microsoft researcher Jenn Wortman Vaughan, explore how to best incorporate transparency into the machine learning life cycle. Here, we will explore these three components of transparency (with examples): traceability, communication, and intelligibility.Opens in a new tab
January 15, 2020
In this webinar led by Microsoft researcher Dr. Katja Hofmann, a Principal Researcher in the Game Intelligence group at Microsoft Research Cambridge, learn about the foundations of RL—elegant ideas giving rise to agents that can learn extremely complex behaviors in a wide range of settings. In the…
December 12, 2019
Project Rocket, an extensible software stack that leverages the edge and cloud, is designed with maximum functionality in mind, capable of meeting the needs of varying video analytic applications. In this webinar, Microsoft researchers Ganesh Ananthanarayanan and Yuanchao Shu explain how Rocket—now open source on GitHub—uses approximation to run…
December 5, 2019
In this webinar—led by Microsoft Researchers John Langford, Partner Research Manager with over a decade of experience in reinforcement learning-related research, and Alekh Agarwal, Principal Research Manager and leader of the Reinforcement Learning group in Redmond—learn how RL works to impact real-world problems across a variety…
January 22, 2019
In this webinar led by Microsoft researchers Jenn Wortman Vaughan and Hanna Wallach, 15-year veterans of the machine learning field, you'll learn how to make detecting and mitigating biases a first-order priority in your development and deployment of ML systems.
