Bridging the gap between the latest technological research advancements and real world applications in business and society

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“We need fundamental additions to this toolbox we have created to reach machines that operate at the level of true human understanding,” Dr. Bengio said. Though these systems have undeniably accelerated the progress of artificial intelligence, they are still a very long way from true intelligence. But Drs. Hinton, LeCun, and Bengio believe that new ideas will come.

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Led by Hugo Larochelle and Matthew Jackson, from the Canadian Institute For Advanced Research, a team of international scientists and technologists are making the case for the creation of a new scientific discipline termed machine behaviour. This, they argue, is necessary to advance our understanding of how artificial intelligence will affect society, culture, the economy and politics.

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CMU Associate Research Professor Simon Lucey uses himself as an example to show off his facial mapping software developed for an online eyeglass retailer. It uses a phone camera to take a picture of the users face, a cloud computer creates a 3-D map of the face and finally it applies the selected pair of glasses to the shopper's face.

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Headed by Professor Simon Lacoste-Julien, Professor at the Université de Montréal and member of Mila, the SAIT AI (Samsung Advanced Institute of Technology Artificial Intelligence) Lab Montreal will conduct fundamental research on voice recognition, machine translation and natural language understanding (developing the capability of machines to understand the meaning of a text).

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The new DeepMind initiative in Montreal will be led by Doina Precup, associate professor in the school of computer science at McGill, who will be bringing her expertise in reinforcement learning. Precup is also Sr fellow of the Canadian Institute for Advanced Research and a member of MILA.

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Jonathan Frankle, the MIT PhD student who coauthored the paper "The Lottery Ticket Hypothesis" asks “If you need way fewer connections than what you started with,” he says, “why can’t we just train the smaller network without the extra connections?” Turns out you can.

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RealityEngines.AI has been focused on dataset augmentation. Dataset augmentation can be particularly helpful, for instance, with banks that are trying to stop certain fraud cases but only have a few examples of past instances for AI models to learn from.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in deep learning algorithms and methods from the pioneers who are paving the way in research and scientific improvements. Learn from leading innovators in deep learning frameworks, neural networks, transfer learning, GPUs and more.

Tech

Discover Emerging Trends

The summit will explore the latest research findings in deep learning and the real world impact these may have. Where do the challenges still lie in research and application? Learn about the latest progress towards technological advancements from a global line-up of experts.

Network

Expand Your Network

A unique opportunity to interact with academic leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 700+ academic industry innovators sharing best practices to advance the smart artificial intelligence revolution.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Machine Learning Scientists
  • CTOs
  • Founders
  • Director of Engineering
  • CEOs
Speechbubbles

Join the discussion

  • Silicon Valley of Deep Learning
  • 75 speakers
  • 700 leading technologists & innovators
  • 2-day extensive workshop track
  • Group brainstorming sessions
  • Interactive workshops
  • 12 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
Document

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Topics we cover

Neural Networks
Neural Networks
NLP
NLP
Computer Vision
Computer Vision
Pattern Recognition
Pattern Recognition
Speech Recognition
Speech Recognition
AI Assistants
AI Assistants
Image Retrieval
Image Retrieval
Autonomous Vehicles
Autonomous Vehicles

Confirmed Attendees Include

Canadian National Railway
huawei
Universite de Montreal
Thales
CBC Radio Canada
Yale University
Google
Capital One
facebook
Bell
Carnegie Mellon University
Twitter
Montreal AI Ethics Institute
Apple
sas
Intact
McGill
State Farm
DeepMind
Honeywell
Polytechnique Monteal
Concordia Uni
Ville de Montreal
Biogen
Novartis
Slack
HEC Montreal
Four Seasons
Mila
PwC
kpmg
Bank of Canada
FlightHub
Collins Aerospace
ATB Financial
Qualcomm
NextHire
Panasonic
Chanel
Ciena
GE

Previous partners include:

Previous exhibitors include:

Media Partners & Press

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