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Inaugural Raj Reddy Artificial Intelligence Lecture

Event Details

Raj Reddy Lecture

Martial Hebert, Dean, School of Computer Science, and Professor of Robotics,
invites you to a virtual program
to celebrate Raj Reddy’s 50-year career at Carnegie Mellon University

Inaugural Raj Reddy Artificial Intelligence Lecture

Wednesday, November 18
10-11:30 a.m. ET
Virtual Program

Where & When

11/18/2020 10:00 AM - 11:30 AM

Zoom Webinar, Online

The Raj Reddy Artificial Intelligence Lecture Series was established in honor of Raj Reddy and his critical work in AI during his now 50 year career at CMU.

All participants must register for this event. A Zoom login link will be provided before the virtual program in a confirmation email.

To help shape the conversation, you are encouraged to pre-submit your questions for the keynote speakers and Raj Reddy.

About Raj Reddy

Raj Reddy
University Professor of Computer Science and Robotics and Moza Bint Nasser Chair, Carnegie Mellon University
Raj Reddy was an Assistant Professor at Stanford from 1966-69 and Faculty Member at Carnegie Mellon since 1969. He served as the founding Director of the Robotics Institute from 1979 to 1991 and the Dean of School of Computer Science from 1991 to 1999. He has been active in AI research for over five decades in the areas of AI, Speech Understanding, Image Understanding, Robotics, Multi-sensor Fusion, and Intelligent Agents. Dr. Reddy's current research interests include: Technology in Service of Society, Voice Computing for the 3B semi-literate populations at the bottom of the pyramid, Digital Democracy, and Learning Science and Technologies. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences. He served as co-chair of President Clinton’s Information Technology Advisory Committee (PITAC) from 1999 to 2001. Dr. Reddy is the recipient of the Legion of Honor in 1984, the ACM Turing Award in 1994, the Padma Bhushan in 2001, the Honda Prize in 2005 and Vannevar Bush Award in 2006.

Featured Speakers

Yoshua Bengio Professor, Department of Computer Science and Operational Research, Université de Montréal Yoshua Bengio is recognized as one of the world’s artificial intelligence leaders and a pioneer of deep learning. He has been a Professor since 1993 at the Université de Montréal. He is the Program Director of the CIFAR program on Learning in Machines and Brains and is also the Founder and Scientific Director of Mila, the Quebec Artificial Intelligence Institute, which is the world’s largest university-based research group in deep learning. In 2018, he collected the largest number of new citations in the world for a computer scientist. He earned the prestigious Killam Prize, and is a Fellow of both the Royal Society of London and Canada. Concerned about the social impact of AI, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence.
Geoffrey Hinton Distinguished Professor Emeritus, Computer Science Department, University of Toronto Geoffrey Hinton received his PhD in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie Mellon he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto where he is now an emeritus professor. Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning. His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification. Geoffrey Hinton is a fellow of the UK Royal Society and a foreign member of the US National Academy of Engineering and the American Academy of Arts and Sciences. His awards include the David E. Rumelhart prize, the IJCAI award for research excellence, the Killam prize for Engineering, the IEEE Frank Rosenblatt medal, the NSERC Herzberg Gold Medal, the IEEE James Clerk Maxwell Gold medal, the NEC C&C award, the BBVA award, the Honda Prize and the Turing Award.
Yann LeCun Vice President and Chief Artificial Intelligence Strategist, Facebook AI Yann LeCun received an Engineering Diploma from ESIEE (Paris) and a PhD from Sorbonne Université. After a postdoc in Toronto he joined AT&T Bell Labs in 1988, and AT&T Labs in 1996 as Head of Image Processing Research. He joined NYU as a professor in 2003 and Facebook in 2013. His interests include AI machine learning, computer perception, robotics and computational neuroscience. He is a member of the National Academy of Engineering and a Chevalier de la Légion d’Honneur.
Harry Shum Former Executive Vice President, Artificial Intelligence and Research, Microsoft Dr. Harry Shum is a world-renowned business executive, computer scientist and educator. He left Microsoft in February 2020 after 23 years to pursue new opportunities in education, business, and technology. As the Executive Vice President of Artificial Intelligence and Research at Microsoft, he led Microsoft Research, one of the world’s premier computer science research organizations, and was responsible for driving the company’s overall AI strategy and forward-looking research and development efforts spanning infrastructure, services, and apps and agents such as Bing, Xiaoice and Cortana. He was elected to the US National Academy of Engineering (NAE) in 2017, and the Royal Academy of Engineering in the UK in 2018. Dr. Shum is an IEEE Fellow and an ACM Fellow for his contributions to computer vision and computer graphics. He received his Ph.D. in robotics from the School of Computer Science at Carnegie Mellon University.