News & features
CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning
| Daniel McDuff, Yale Song, Sai Vemprala, Vibhav Vineet, Shuang Ma, and Ashish Kapoor
The ability to reason about causality, and ask “what would happen if…?’’ is one property that sets human intelligence apart from artificial intelligence. Modern AI algorithms perform well on clearly defined pattern recognition tasks but fall short generalizing in the…
Research Collection – Shall we play a game?
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…
Unadversarial examples: Designing objects for robust vision
| Hadi Salman
Many of the items and objects we use in our daily lives were designed with people in mind. In October, the Reserve Bank of Australia put out into the world its redesigned $100 banknote. Some design elements remained the same—such…
Adversarial robustness as a prior for better transfer learning
| 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)…
Teaching a robot to see and navigate with simulation
| 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…
Game of Drones at NeurIPS 2019: Simulation-based drone-racing competition built on AirSim
| Ratnesh Madaan and Ashish Kapoor
Drone racing has transformed from a niche activity sparked by enthusiastic hobbyists to an internationally televised sport. In parallel, computer vision and machine learning are making rapid progress, along with advances in agile trajectory planning, control, and state estimation for…
Autonomous systems, aerial robotics and Game of Drones with Gurdeep Pall and Dr. Ashish Kapoor
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…
Helping first responders achieve more with autonomous systems and AirSim
| Ashish Kapoor
With inputs from: Elizabeth Bondi (Harvard University), Bob DeBortoli (Oregon State University), Balinder Malhi (Microsoft) and Jim Piavis (Microsoft) Autonomous systems have the potential to improve safety for people in dangerous jobs, particularly first responders. However, deploying these systems is…
Microsoft AirSim now available on Unity
| 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…