ONR Distinguished Lecture Series:
"The Sensorimotor Road to Artificial Intelligence"
Prof. Jitendra Malik
Arthur J. Chick Professor of Electrical Engineering and Computer Sciences, University of California, Berkeley
Recent successes in visual recognition and game playing have led to media speculations of Artificial Intelligence (AI) being just around the corner. It is worth taking stock of where we actually stand, and the ways in which AI today falls spectacularly short of human capabilities. In addition to big computation and data, we have been helped by "big annotation" and "big simulation", but these will not be able to carry us all the way in other components of AI. Instead I believe that the primary challenge for creating AI is to first master the link between sensory perception and motor control which, over the course of biological evolution, has provided the substrate for the development of capabilities such as language and abstract thought.
I will describe recent results from my group on vision and robotics. We are guided considerably by insights from human development and cognition. We show how computers can acquire a 3D understanding of the world through a combination of learning and geometry. In manipulation, our work is based on object-oriented task models acquired by experimentation. In navigation, we show the benefits of architectures based on cognitive maps and landmarks.
When: Thursday, September 6, 2018 11 a.m. to Noon
Office of Naval Research
Bobby Junker Executive Conference Center
14th Floor, One Liberty Center
875 North Randolph Street
Arlington, VA 22203
For any questions regarding this event, please email Irina Pala.
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About Jitendra Malik
Jitendra Malik is Arthur J. Chick Professor of EECS at UC Berkeley, and a Director of Research & Site Lead at Facebook AI Research in Menlo Park. He has published widely in computer vision, computational modeling of human vision, and machine learning. Several well-known concepts and algorithms arose in this research, such as anisotropic diffusion, normalized cuts, high dynamic range imaging, shape contexts and R-CNN. Jitendra received the Distinguished Researcher in Computer Vision Award from IEEE, the K.S. Fu Prize from IAPR, and the Allen Newell award from ACM and AAAI. He has been elected to the National Academy of Sciences, the National Academy of Engineering and the American Academy of Arts and Sciences.