Sep 23–26, 2019

Shital Shah
Principal Research Engineer, Microsoft Research

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

11:20am–12:00pm Thursday, September 26, 2019

Location: 1A 06/07

Getting to know the elephant: Real-time debugging and visualization for deep learning

Data Science, Machine Learning, & AI

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.