Abstract

How can we accelerate the creation of machines customized to specific tasks? Where are the gaps that we need to address in order to advance the bodies and brains of machines? How can we develop scalable and trustworthy reasoning engines? In this talk I will discuss recent developments in machine learning and robotics, focusing on about how computation can play a role in:

• developing Neural Circuit Policies, an efficient approach to more interpretable machine learning engines,
• making machines more capable of reasoning in the world,
• making custom robots, and
• making more intuitive interfaces between robots and people.

About the speaker

Prof Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT , and Deputy Dean of Research in the Schwarzman College of Computing at MIT .

Her research interests are in robotics and artificial intelligence. The key focus of her research is to develop the science and engineering of autonomy.

See more details and read the full abstract at the following link: https://www.cst.cam.ac.uk/news/wheeler-lecture-2021.

Please register in advance to attend this event at the following link: https://cl-cam-ac-uk.zoom.us/webinar/register/WN_Jrn_jYPKR1qAwprALMeX3w.