AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

February 5, 2021

From a research point of view, games offer an amazing environment in which to develop new machine learning algorithms and techniques. And we hope, in due course, that those new algorithms will feed back not just into gaming, but into…

August 11, 2020 | Hadi Salman

Editor’s note: This post and its research are the collaborative efforts of our team, which includes Andrew Ilyas (opens in new tab) (PhD Student, MIT), Logan Engstrom (opens in new tab) (PhD Student, MIT), Aleksander Mądry (opens in new tab)…

July 1, 2020 | Sebastian Scherer and Ashish Kapoor

The ability to see and navigate is a critical operational requirement for robots and autonomous systems. For example, consider autonomous rescue robots that are required to maneuver and navigate in challenging physical environments that humans cannot safely access. Similarly, building AI…

March 17, 2020 | Rogerio Bonatti, Ratnesh Madaan, Vibhav Vineet, Sebastian Scherer, and Ashish Kapoor

Humans subconsciously use perception-action loops to do just about everything, from walking down a crowded sidewalk to scoring a goal in a community soccer league. Perception-action loops—using sensory input to decide on appropriate action in a continuous real time loop…

November 27, 2019

There’s a lot of excitement around self-driving cars, delivery drones, and other intelligent, autonomous systems, but before they can be deployed at scale, they need to be both reliable and safe. That’s why Gurdeep Pall, CVP of Business AI at…

November 14, 2018 | Ashish Kapoor and Shital Shah

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…