The AI Institute

We’ll be at the Grace Hopper Celebration in Philadelphia next week. If you're attending, stop by kiosk 1212-10 to meet some of our amazing women engineers, hear about their work, and learn about opportunities to join our team. We’re hiring across many roles in research and engineering, and we’d love to chat with you! #GHC24 #WomenInTech AnitaB.org

Interns are a big part of our team at the Institute. We're so grateful to our interns—past and present—for their hard work and contributions to our research!

Today the Institute turns two! Another year of research, a new office in Zurich, and fun with the team. Big thank you to everyone who has been part of our journey so far! Excited to see what we accomplish next year.

The next generation of robots is right around the corner. Help us shape the future. Join our team — https://lnkd.in/gXba9CR2

We're at CVPR in Seattle this week. Come see us at booth 1719 to get a robot portrait drawing and learn about joining our team!

For the past few months, we've been collaborating with NVIDIA and ETH Zürich to simplify research workflows for robot learning. Today, we're excited to see the result of this work, Isaac Lab, which is part of NVIDIA's latest release of Isaac Sim. Isaac Lab, available today, is an open-source framework for robot learning that aims to simplify common workflows, including reinforcement and imitation learning. Learn more at https://lnkd.in/es65-c-8

Research at our Zurich office is now underway! Marco Hutter, director of our Zurich team, sat down with Evan Ackerman from IEEE Spectrum to talk about the next steps in robotics and AI research and how we're melding the best of academia and industry — https://lnkd.in/egaZnJXr

"There’s been a lot of work in the field to make robots understand language, where you go from language to a simplified, high-level abstraction to robot actions. But the problem is that symbolic representation, or the list of things a robot can do, is very limited. Basically, robots can’t do very much. So even though we have large language models and large vision models that are very powerful, using them to make robots do a lot of different things is still an unsolved problem." Stefanie Tellex, Associate Professor of Computer Science at Brown University, is one of 12 visiting fellows at the Institute. Learn about her work connecting language to robotic capabilities, her path to becoming a professor and working at the AI Institute, and where she hopes the field will go in the next five to ten years — https://lnkd.in/ey_5StKN

Robots have come a long way in 40 years, but they still have a long way to go. Join us in making the intelligent robots of the future. We have positions open in both Cambridge, MA and Zurich — https://lnkd.in/gXba9CR2

Join us as we embark on a mission to create the next generation of robots. Our research teams are focused on combining cognitive intelligence with athletic intelligence in order to make robots smarter, more capable, and easier to work with. Learn more — https://lnkd.in/eWfCBpVJ