Shital Shah
Principal Research Engineer
关于
Shital Shah is Principal Research Engineer in Reinforcement Learning group at Microsoft Research, Redmond. His interests include simulation, robotics, deep learning and reinforcement learning. He has been working at Microsoft for 15 years contributing in architecture, design and development of large scale distributed machine learning systems. He has worked in various roles in research and engineering at Microsoft including technical lead, architect, engineering manager and more recently as a research engineer. Previously at Bing, he founded and lead the team to develop distributed machine learned clustering platform for web-scale data. At Microsoft Research, he conceived and lead the development of AirSim (opens in new tab), a physically and visually realistic cross platform simulator for AI research. He also is the author of TensorWatch (opens in new tab), a tool for debugging and visualization for data science and deep learning practitioners. Most recently, he co-authored Archai (opens in new tab), the platform for Network Architecture Search (NAS) to accelerate research in this field and make it more widely accessible.
Press
Microsoft makes AI debugging and visualization tool TensorWatch open source
The rise of deep learning is accompanied by ever-increasing model complexity, larger datasets, and longer training times for models. When working on novel concepts, researchers often need to understand why training metrics are trending the way they are. So far,…
Microsoft shares open source system for training drones, other gadgets to move safely on their own
Microsoft researchers Shital Shah, Ashish Kapoor and Debadeepta Dey are leading development of the Aerial Informatics and Robotics Platform.
Microsoft extends AirSim to include autonomous car research
Earlier this year, we open-sourced a research project called AirSim, a high-fidelity system for testing the safety of artificial intelligence systems. AirSim provides realistic environments, vehicle dynamics and sensing for research into how autonomous vehicles that use AI that can operate safely in the open world. Today, we are sharing an update to AirSim: We have extended the system to include car simulation, which will help advance the research and development of self-driving vehicles. The latest version is available now on GitHub as an open-source, cross-platform offering.
Microsoft Research 2018: 10 memorable blogs topping a year of open source and innovation
The year’s end is an opportunity to reflect on what was achieved and to resolve to aspire to even greater heights in the one that’s about to begin. Looking back on what was accomplished at Microsoft Research in 2018 brings…
Microsoft AirSim now available on Unity
At Microsoft, we have a vision and passion to bring artificial intelligence solutions to real-world systems using the power of simulation. We continually strive to accelerate AI advances with the use of realistic simulators, tools, and environments. Today we are excited to announce AirSim availability on Unity. AirSim developers will be able to leverage the Unity platform and ecosystem when building, training and evaluating autonomous systems in a simulated environment designed for AI.