EVOLUTION OF DEEP LEARNING SYMPOSIUM

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Sheraton Centre Toronto Hotel

123 Queen Street West

Toronto, ON M5H 2M9

Canada

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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

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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 & 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: Geoffrey Hinton's Turing Lecture: Geoffrey Hinton, Chief Scientific Advisor, Vector Institute; VP and Engineering Fellow, Google; Professor Emeritus, University of Toronto
  • 10:15 AM: Morning Poster Session and Exhibits
  • 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: Lunch & Tributes hosted by Richard Zemel, Research Director & Co-Founder, Vector Institute; Industrial Research Chair in Machine Learning and Professor, Department of Computer Science, University of Toronto; Fellow, Learning in Machines & Brains program, CIFAR.
  • 1:30 PM: Elissa Strome, AVP Research & Executive Director, Pan-Canadian AI Strategy, CIFAR
  • 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 Poster Session and Exhibits
  • 3:45 PM: Closing Remarks
  • 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: Reception
  • 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 & Continental Breakfast
  • 9:15 AM: Opening Remarks & Rapid Fire Presentations
  • Ada
  • Manulife
  • TD Layer 6
  • 9:30 AM: Research Talk: Terrence Sejnowskis 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 Poster Session and Exhibits
  • 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: Research Talk: Ilya Sutskever, received a Ph.D. in computer science from the University of Toronto under the supervision of Geoffrey Hinton. He was a co-founder of DNNResearch which was acquired by Google, and he later was a research scientist at Google Brain. He is a co-founder of OpenAI, where he currently serves as Chief Scientist. Ilya has made several major contributions to deep learning.
  • 1:30 PM: Afternoon Poster Session and Exhibits
  • 3:00 PM: Panel discussion: Deep Learning in Industry moderated by Graham Taylor, Associate Professor of Engineering at the University of Guelph, a CIFAR Azrieli Global Scholar, an Academic Director of NextAI, and a member of the Vector Institute for Artificial Intelligence. His research aims to discover new algorithms and architectures for deep learning: the automatic construction of hierarchical algorithms from high-dimensional, unstructured data. He is especially interested in time series, having applied his work to better understand human and animal behaviour, environmental data (climate or agricultural), audio (music or speech) and financial time series. His work also intersects high performance computing, investigating better ways to leverage hardware accelerators to cope with the challenges of large-scale machine learning. He co-organizes the annual CIFAR Deep Learning Summer School, and has trained more than 50 students and staff members on AI-related projects.
  • Panelists:
  • 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, Andrew Brown is the Senior Director of Data Science and AI Research at CIBC, in CIBC’s Chief Analytics Office. He received his PhD in computer science from the University of Toronto under the direction of Geoffrey Hinton, and spent time doing research at the Gatsby Computational Neuroscience Unit, University College London. Since joining CIBC, he has worked in a variety of roles in Risk Management, Treasury and Analytics, applying statistical and quantitative modelling methods to problems in consumer behaviour, hedge optimization, ALM and currently leads an enterprise data science team.
  • Raquel Urtasun, Chief Scientist for Uber ATG and the Head of Uber ATG Toronto. She is also a Professor at the University of Toronto, a Canada Research Chair in Machine Learning and Computer Vision and a co-founder of the Vector Institute for AI. She received her Ph.D. from the Ecole Polytechnique Federal de Lausanne (EPFL) in 2006 and did her postdoc at MIT and UC Berkeley. She is a recipient of an NSERC EWR Steacie Award, an NVIDIA Pioneers of AI Award, a Ministry of Education and Innovation Early Researcher Award, three Google Faculty Research Awards, an Amazon Faculty Research Award, a Connaught New Researcher Award, a Fallona Family Research Award and two Best Paper Runner up Prize awarded CVPR in 2013 and 2017. She was also named Chatelaine 2018 Woman of the year, and 2018 Toronto’s top influencers by Adweek magazine.
  • 3:45 PM: Closing Remarks: Richard Zemel, Research Director & Co-Founder, Vector Institute; Industrial Research Chair in Machine Learning and Professor, Department of Computer Science, University of Toronto; Fellow, Learning in Machines & Brains program, CIFAR.
  • 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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Sheraton Centre Toronto Hotel

123 Queen Street West

Toronto, ON M5H 2M9

Canada

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