Sep 23–26, 2019

Shital Shah
Principal Research Engineer, Microsoft Research


Shital Shah is Principal Research Engineer at Microsoft Research AI. His interests include deep learning debugging, visualization, simulation, autonomous vehicles and robotics. He has been working at Microsoft for past 12 years architecting, designing and developing large scale machine learning systems that heavily leverages distributed computing. He has contributed in research and engineering in various roles at Microsoft including technical lead, architect, engineering manager and research engineer. More recently at Bing, he founded and lead the team to design and develop distributed machine learned clustering platform for web-scale data. At Microsoft Research, he conceived and lead the development of AirSim, a physically and visually realistic cross platform simulator for AI research as test bed for designing, applying and evaluating reinforcement learning algorithms for the smart agents in open dynamic world.


11:20am12:00pm Thursday, September 26, 2019
Location: 1A 06/07
Shital Shah (Microsoft Research)
How do we visualize what exactly deep learning is doing? Taming the massive models, data and training times requires new way of thinking about them. In talk we will introduce explore new tools and methods to understand AI better. Explaining the decisions made by AI not only helps us accelerate its development but also make it safe and more trustworthy. Read more.

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