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

Previous Speakers

Get to know the speakers

Original

Researchers have developed a machine learning algorithm that can turn audio clips into realistic, lip-synced videos. A video shows former US president Barack Obama apparently speaking on a number of subjects including terrorism, though the clips were artificially generated using existing video addresses.

Read More
Original

"A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data". In this paper Hugo Larochelle explores how to successfully apply and extend DocNADE to multimodal data, such as simultaneous image classification and annotation.

Read More
Original

Computer scientists from the University of Toronto have created a software program that helps users avoid fashion faux pas. Raquel Urtasun and Sanja Fidler, along with colleagues in Spain, designed an algorithm that analyzes a person’s photograph to determine whether the wearer’s outfit is stylish. It also suggests ways to improve the ensemble and the subject’s overall appeal.

Read More
Original

There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no one among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined.

Read More
Original

Yann LeCun once built an AI chip called ANNA. But he was 25 years ahead of his time. He and several other researchers designed this chip to run deep neural networks—complex mathematical systems that can learn tasks on their own by analyzing vast amounts of data—but ANNA never reached the mass market.

Read More
Original

“Today’s models can be trained on huge quantities of data, but that’s not enough,” says Bengio, who together with LeCun and Google’s Geoffrey Hinton is one of the original musketeers of deep learning. “We need to discover learning algorithms that can take better advantage of all this unlabeled data that’s sitting out there.”

Read More

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 450+ 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
  • 800 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

Downloads

View the summit brochure and all the information you need to convince your boss that attending the summit will help future-proof your business.

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

Regular Attendees Include

Autodesk1
SAP
Honda
raptor
Shopify
Envision.AI
CBC Radio Canada
Universite de Montreal
Innodata
Microsoft
huawei
Amazon
Ericsson
Thales
Intel
IBM
Apple
Google
forbes
deloitte
Panasonic
Capital One
facebook
Samsung
Morgan Stanley
Adobe
Shutterstock
spotify
Snapchat
Montreal AI Ethics Institute,

Register

For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

Previous partners include:

Previous exhibitors include:

Media Partners & Press

As Featured In

Original
Original
Original
Original
Original
Original
This website uses cookies to ensure you get the best experience. Learn more