Turing Award Winner; Emeritus Professor of Computer Science at the University of Toronto where he is now an emeritus professor; VP Engineering fellow at Google and Chief Scientific Adviser at the Vector Institute. He is known to have 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, 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.

Turing award winner; Professor at University of Montreal, Founder and Scientific Director of Mila – Quebec AI Institute; Most known for his pioneering work in deep learning. He co-directs the CIFAR Learning in Machines & Brains program as Senior Fellow and acts as Scientific Director of IVADO. Concerned about the social impact of AI and the objective that AI benefits all, he actively contributed to the Montreal Declaration for the Responsible Development of Artificial Intelligence.

Turing award winner; Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at NYU; Chief AI Scientist at Meta; affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department.

Turing Award winner for leading the invention, standardization, and commercialization of Ethernet local-area networking technology. Metcalfe is Emeritus Professor of Electrical and Computer Engineering (ECE) at The University of Texas at Austin; a Research Affiliate at MIT CSAIL.

Russell is the Professor of Computer Science at University of California, Berkeley, and Smith-Zadeh Professor in Engineering, Computational Precision Health, Professor of Cognitive Science, and Honorary Fellow of Wadham College at Oxford.

Chief Privacy & Trust Officer for IBM, overseeing the company’s privacy program, compliance and strategy on a global basis, and directing all aspects of IBM’s privacy policies. Chair, IBM’s AI Ethics Board; a member of the U.S. Chamber of Commerce AI Commission, and a member of the US National AI Advisory Committee (NAIAC).

Dario is co-founder & CEO at Anthropic, an AI safety and research company working to build reliable, interpretable and steerable AI systems. Previously Dario was VP of research at OpenAI, during which he set the overall research direction at the organization, led the efforts to build GPT-2 and GPT-3, and led several teams focused on long-term safety research, including how to make AI systems more interpretable and how to embed human preferences and values in future powerful AI systems. Before working at OpenAI, Dario was a senior research scientist at Google, serving as a deep learning researcher on the Google Brain team, working to extend the capabilities of neural networks.

Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’s research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science.