UC Berkeley Robotics

Been wanting to learn more about the interplay between Deep Learning and Robotics? UC Berkeley Professor Sergey Levine shares his thoughts and recent advances at the CMU Robotics Institute seminar series.

RI Seminar: Sergey Levine : Deep Robotic Learning Sergey Levine Assistant Professor, UC Berkeley April 07, 2017 Abstract Deep learning methods have provided us with remarkably powerful, flexible, and robust ...

To naturally interact with humans robots will need to have grounded language understanding. Igor Mordatch (currently research scientist at OpenAI, formerly bair.berkeley.edu post-doc) latest work showcases the emergence of grounded compositional language in multi-agent populations!

https://openai.com/blog/learning-to-communicate/

Been wanting to learn more about Deep Reinforcement Learning, and how to get? Great opportunity tonight, with former Berkeley student John Schulman is presenting at the SF AI Meet up!

San Francisco Artificial Intelligence Meetup UPDATE: The venue has changed. The new location is the Cafe/Library area at Galvanize on 44 Tehama Street. We are thrilled to announce the John Schulman is joining AI Meetup Series! John is a researc

Announcing Berkeley's Center for Human Compatible AI, headed up by Prof. Stuart Russell!

The goal of CHCAI is to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.

Artificial intelligence research is concerned with the design of machines capable of intelligent behavior, i.e., behavior likely to be successful in achieving objectives. The long-term outcome of AI research seems likely to include machines that are more capable than humans across a wide range of objectives and environments. This raises a problem of control: given that the solutions developed by such systems are intrinsically unpredictable by humans, it may occur that some such solutions result in negative and perhaps irreversible outcomes for humans. CHCAI's goal is to ensure that this eventuality cannot arise, by refocusing AI away from the capability to achieve arbitrary objectives and towards the ability to generate provably beneficial behavior. Because the meaning of beneficial depends on properties of humans, this task inevitably includes elements from the social sciences in addition to AI.

The Center for Human-Compatible AI is sponsored by the Open Philanthropy Project, the Future of Life Institute, the Leverhulme Trust, and CITRIS. Partner organizations include the Leverhulme Centre for the Future of Intelligence and the Center for Long-Term Security

Center for Human-Compatible AI