Tech Showcase: High-Fidelity Simulations: The Critical Path to Real-World AI

Developing and testing real-world AI is an expensive and time-consuming process. We need to collect a large amount of annotated training data in a variety of conditions and environments, and such data-driven systems can result in failure cases that can jeopardize safety. In this session, we will explore how high-fidelity simulations can help us alleviate some of these problems. We will discuss how near-realistic simulations can help not only with gathering training data, but also can be embedded in imitation-learning or reinforcement learning loops to improve sample complexity. Our discussion will center around AirSim, an open-source simulator built on Unreal Engine that offers physically and visually realistic simulations.

专题：
Microsoft Research Faculty Summit
日期：
演讲者：
Jim Piavis, Ashish Kapoor, Shital Shah
所属机构：
Microsoft Research

系列： Microsoft Research Faculty Summit