Autonomous Systems and Robotics Group
Developing training and simulation technologies for robotics systems
Nouvelles et reportages
Announcing the DeepSpeed4Science Initiative: Enabling large-scale scientific discovery through sophisticated AI system technologies
| Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Martin Cai, et Yuxiong He
Editor’s note, Sept. 28, 2023 – The founding collaborators list was updated to correct omissions and the scientific foundation model graph was updated to correct information. In the next decade, deep learning may revolutionize the natural sciences, enhancing our capacity to…
Research Focus: Week of February 20, 2023
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Many real-world applications require sequential decision making, where an agent interacts with…
Research Focus: Week of December 5, 2022
This special edition of Research Focus highlights some of the 100+ papers from Microsoft Research that were accepted for publication at NeurIPS 2022 – the thirty-sixth annual Conference on Neural Information Processing Systems. In this issue, we continue to feature some…
Research Focus: Week of November 7, 2022
Welcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei,…
Dans l’actualité | Microsoft Source
Microsoft launches Project AirSim, an end-to-end platform to accelerate autonomous flight
Josh Riedy knew it wasn’t real – that he wasn’t actually hovering near the top of a wind turbine in North Dakota, hundreds of feet off the ground. But it didn’t matter when he looked down. His stomach still dropped…
COMPASS: COntrastive Multimodal Pretraining for AutonomouS Systems
| Shuang Ma, Sai Vemprala, Wenshan Wang, Jayesh Gupta, Yale Song, Daniel McDuff, et Ashish Kapoor
Humans have the fundamental cognitive ability to perceive the environment through multimodal sensory signals and utilize this to accomplish a wide variety of tasks. It is crucial that an autonomous agent can similarly perceive the underlying state of an environment…
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, et 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…
Learning visuomotor policies for autonomous systems from event-based cameras
| Sai Vemprala
Editor’s note: This research was conducted by Sai Vemprala, Senior Researcher, and Ashish Kapoor (opens in new tab), Partner Researcher, of Microsoft Research along with Sami Mian (opens in new tab), who was a PhD Researcher at the University of…
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…