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      October 16, 2019

      Wednesday   8:00 AM

      123 Queen Street West
      Toronto, Ontario M5H 2M9

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      FOUR­-DECADE TOUR IN CELEBRATION OF DR. GEOFFREY HINTON’S WORK THAT LED TO THE 2018 ACM A.M. TURING AWARD For event sponsorship opportunities, please review our Sponsorship Prospectus. Join us for a two-day Symposium to celebrate the work and achievements of the Vector Institute’s Chief Scientific Advisor, Geoffrey Hinton, who earlier this year received the 2018 ACM A.M. Turing Award alongside Drs. Yoshua Bengio and Yann LeCun for their pioneering work on artificial neural networks.   The 2018 ACM A.M. Turing Award is computing’s highest honour and often referred to as the “Nobel Prize” of computer science.    Thanks to Dr. Hinton’s leadership and foresight, the Vector Institute has become a beacon in the global AI community since its launch two years ago. This event will be an opportunity to hear and interact with hundreds of top local and international machine learning researchers and industry leaders at the forefront of AI.   Don’t miss the opportunity to celebrate this milestone in the history of the field of deep learning Agenda (Speakers are confirmed. Timing subject to change.) Symposium - October 16 - Day 1 Sheraton Centre Toronto Hotel, 123 Queen Street West 8:00 AM: Registration and continental breakfast 9:00 AM: Welcome and opening remarks: Garth Gibson, President & CEO, Vector Institute Cheryl Regehr, Vice-President & Provost, University of Toronto 9:15 AM: Keynote address: Geoffrey Hinton's Turing Lecture: Geoffrey Hinton, Chief Scientific Advisor, Vector Institute; VP and Engineering Fellow, Google; University Professor Emeritus, University of Toronto; Advisor, Learning in Machines & Brains, CIFAR 10:15 AM: Morning research poster session and industry booths 11:45 AM: Research talk: Radford M. Neal completed his PhD under Dr. Hinton’s supervision in 1994 and introduced a method to estimate the degree of certainty in predictions made by deep learning models. Dr. Neal’s foundational work continues to have a significant influence in the field today. Dr. Neal is Professor Emeritus at the University of Toronto. 12:30 PM: Networking lunch 1:30 PM: Research talk: George Dahl completed his PhD under Dr. Hinton’s supervision in 2015 and was the first to successfully apply deep learning to speech recognition. Dr. Dahl also led the team that won the Merck challenge to help develop safe and effective medicine by predicting molecular activity. He is currently a research scientist on Google’s Brain team in California. 2:15 PM: Afternoon research poster session and industry booths 3:45 PM: Closing Remarks: Alan Bernstein, President & CEO, CIFAR 4:00 - 6:00 PM: Symposium Reception Sponsored by TD Layer 6: All speakers and symposium guests are invited to join hundreds of local and international researchers, business leaders and members of the Canadian AI ecosystem for an evening reception. 4:00PM: Networking 5:00PM: Opening Remarks: Garth Gibson, President & CEO, Vector Institute 5:05PM: Opening Remarks: Tomi Poutanen, Chief AI Officer, TD Bank Group and Co-Founder, Layer 6 5:15PM: Fireside Chat: Eric Schmidt & Geoffrey Hinton moderated by Katherine Gorman, Executive Producer and Co-Host of Talking Machines, Executive Producer for Collective Next. Eric Schmidt is Technical Advisor to Alphabet Inc., where he advises its leaders on technology, business and policy issues. Eric joined Google in 2001 and helped grow the company from a Silicon Valley startup to a global leader in technology He served as Google's Chief Executive Officer from 2001-2011, and Executive Chairman 2011-2018, alongside founder Sergey Brin and Larry Page.  Under his leadership, Google dramatically scaled its infrastructure and diversified its product offerings while maintaining a strong culture of innovation.  Symposium - October 17 - Day 2 Sheraton Centre Toronto Hotel, 123 Queen Street West 8:30 AM: Registration & coffee 9:15 AM: Welcome and opening remarks: Cameron Schuler, Chief Commercialization Officer and VP, Industry Innovation, Vector Institute 9:30 AM: Research talk: Terrence Sejnowski’s work is grounded in neuroscience and he was one of the earliest influencers and collaborators in Geoffrey Hinton’s career. Dr. Sejnowski is now President of the NeurIPS Foundation Board, overseeing the largest machine learning conference in the world. He is Professor and Head of the Computational Neurobiology Laboratory at the Salk Institute in California and an Advisor in the Learning in Machines & Brains program at CIFAR. 10:15 AM: Morning research poster session and industry booths 11:45 AM: Research talk: Max Welling was a Postdoctoral Fellow under Geoffrey Hinton’s supervision until 2003. His work is prolific and diverse, including advancements that teach deep learning models how to categorize information effectively to improve speed and accuracy of predictions. Dr. Welling is a research chair in machine learning at the University of Amsterdam and VP Technologies at Qualcomm. Max Welling is also a Fellow in the Learning in Machines & Brains program at CIFAR. 12:30 PM: Lunch 1:00 PM: Fireside chat with Ilya Sutskever, Co-founder and Chief Scientist, OpenAI 1:30 PM: Afternoon research poster session and industry booths 3:00 PM: Panel discussion: "Deep Learning in Industry" featuring industry AI lab leaders: Foteini Agrafioti, Chief Science Officer at RBC and head of Borealis AI. She is responsible for RBC’s intellectual property portfolio in the fields of artificial intelligence and machine learning. Prior to joining Borealis AI, Foteini founded and served as Chief Technology Officer at Nymi, a biometrics security company and maker of the Nymi wristband. Andrew Brown, Senior Director, Data Science and AI Research - Enterprise Advanced Analytics with CIBC  Raquel Urtasun, Uber ATG Chief Scientist & Head of Uber ATG Toronto. Raquel is also Co-Founder of the Vector Institute and Canada Research Chair in Machine Learning and Computer Vision.  Raquel is a NSERC EWR Steacie Fellow and Associate Professor, Department of Computer Science, University of Toronto.  This panel is moderated by Graham Taylor. Graham Taylor is a former PhD student of Dr. Geoffrey Hinton, and is a Canada CIFAR AI Chair and Faculty Member at the Vector Institute. He leads the machine learning group at the University of Guelph and is a Canada Research Chair in Machine Learning, and academic director for NextAI where he advises entrepreneurs. He was recently named academic director of the University of Guelph’s Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI). 3:45 PM: Closing remarks 4:00 PM: Conclusion of Symposium Photo courtesy of the Association of Computing Machinery “I am honoured to receive the ACM A.M. Turing Award, a high honour and recognition from the computer science community. Deep learning and neural networks have tremendous potential to revolutionize nearly every sector of society – from predicting aftershocks or floods to designing new materials and pharmaceuticals to interpreting medical images and personalized medicine. With the ever-increasing volume of data and computing capacity, industry has woken up to the transformational power of this technology. The Vector Institute is playing a unique role as a convener of academia and industry, enabling Vector’s researchers and industry sponsors to take bold steps and realize the full potential of the technology for which Yann and Yoshua and I are being recognized today. Together, we are ensuring Canadian companies and all Canadians benefit from ongoing research in the field.” – Dr. Geoffrey Hinton, Chief Scientific Advisor, Vector Institute; VP and Engineering Fellow, Google; Emeritus Professor, University of Toronto About the Vector Institute The Vector Institute is an independent, not-for-profit corporation dedicated to advancing artificial intelligence, excelling in machine and deep learning. The Vector Institute's vision is to drive excellence and leadership in Canada's knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. The Vector Institute is funded by the Province of Ontario, the Government of Canada through the Pan-Canadian AI Strategy administered by CIFAR, and industry sponsors from across the Canadian economy.

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