CCC Blog

Catalyzing the computing research community and enabling the pursuit of innovative, high-impact research.

Computing Community Consortium Blog

The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.

NSF CISE Distinguished Lecture – From Seeing to Doing: Understanding and Interacting with the Real World

October 28th, 2021 / in AI, NSF / by Maddy Hunter

Dr. Fei-Fei Li

Dr. Fei-Fei Li, of Stanford University, is presenting a lecture titled “From Seeing to Doing: Understanding and Interacting with the Real World” as a part of the National Science Foundation’s (NSF) Computer & Information Science & Engineering (CISE) Distinguished Lecture Series. Li’s lecture will be on November 4th, 2021 from 12-1:30pm EDT.

Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University where she leads Stanford’s Human-Centered Artificial Intelligence (AI) Institute as the Co-Director and served as the Director of the AI Lab from 2013 to 2018. She obtained her B.A. degree in physics from Princeton University and her PhD in electrical engineering from the California Institute of Technology. Before joining Stanford as an Assistant professor Li worked as a faculty member at University of Illinois Urbana-Champaign and Princeton University.

Her work focuses on cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare. Dr. Li served as a workshop chair in 2019 for a Computing Community Consortium workshop on self-aware learning, which was part of the series of workshops whose goal was to identify challenges, opportunities, and pitfalls in the AI landscape, and to create a compelling report to inform future decisions, policies, and investments in this area. The series brought together over 100 members of the research community to produce “A 20-Year Community Roadmap for Artificial Intelligence Research in the US.”

Talk Abstract: Visual intelligence is a cornerstone of intelligence, for both humans and machines. In this talk, I go over a number of research work by our group on the topics of visual perception and robotic learning. The guiding principle of our work is inspired by the Gibsonian belief that perceptual and robotic learning should be based on an ecology approach, solving tasks and problems approximating the real-world setting and scale.

Please register for the webinar here. After registering you will receive a confirmation email containing information about joining the webinar.