Sep 23–26, 2019
Shital Shah

Shital Shah
Principal Research Engineer, Microsoft Research

Website

Shital Shah is a principal research engineer at Microsoft Research AI. His interests include simulation, autonomous vehicles, robotics, deep learning, and reinforcement learning. At Microsoft, he’s architected, designed, and developed large-scale distributed machine learning systems. He conceived and lead the development of AirSim, a physically and visually realistic cross-platform simulator for AI research. Most recently, he developed TensorWatch, a new system for debugging and visualizing machine learning. He’s contributed in research and engineering in various roles at Microsoft, including technical lead, architect, engineering manager, and research engineer. Previously, he founded and led the team to design and develop distributed machine-learned clustering platform for web-scale data at Bing.

Sessions

11:20am12:00pm Thursday, September 26, 2019
Location: 1A 06/07
Shital Shah (Microsoft Research)
Taming massive deep learning models, data, and training times requires new way of thinking. Shital Shah explores new tools and methods to better understand AI. Explaining the decisions made by AI not only helps us accelerate its development but also make it safe and more trustworthy. Read more.

    Contact us

    confreg@oreilly.com

    For conference registration information and customer service

    partners@oreilly.com

    For more information on community discounts and trade opportunities with O’Reilly conferences

    strataconf@oreilly.com

    For information on exhibiting or sponsoring a conference

    pr@oreilly.com

    For media/analyst press inquires