THIS SUMMIT IS CO-LOCATED WITH

DEEP LEARNING SUMMIT - TRACK 2: BUSINESS APPLICATIONS

The smart artificial intelligence revolution. Explore software that can recognize patterns in digital representations of sounds, images, & data.

Speakers

The full line up will be announced closer to the event. Previous speakers include:

Get to know the speakers

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“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.”

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Karpathy and colleagues have created artificial intelligence software capable of recognizing and describing the content of photographs and videos with far greater accuracy than ever before, sometimes even mimicking human levels of understanding.

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Ian Goodfellow is a Senior Research Scientist on the Google Brain team. He studies new methods for improving neural networks. Recent publications include: Adversarial Autoencoders; Net2Net: Accelerating Learning via Knowledge Transfer; and Explaining and Harnessing Adversarial Examples.

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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.

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"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.

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"To understand deep learning in the context of genetic disease, you need to understand shallow learning first. Shallow learning relates mutations to diseases by looking for mutations that commonly occur in patients with a disease. It’s a commonly used method", Brendan Frey, Deep Genomics.

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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.

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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.

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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.

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Why Attend

Extraordinary Speakers

Discover advances in deep learning algorithms and methods from the world's leading innovators. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP. Explore how deep learning will impact healthcare, manufacturing, search & transportation.

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in deep learning and their impact and successful applications in business. Where do the challenges still lie in research and application? Learn the latest technological advancements & industry trends from a global line-up of experts.

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 450+ industry innovators sharing best practices to advance the smart artificial intelligence revolution.

Who Should Attend

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

Join the discussion

  • 60 speakers
  • 600 leading technologists & innovators
  • Access to sessions in Track 1
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future

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


Previous Attendees Include

  • Honda
  • CBC Radio Canada
  • Apple
  • Fujitsu
  • alpha sense
  • PwC
  • capital one
  • Microsoft
  • Intel
  • openai
  • uber
  • dell

Venue

Toronto

Venue details will be confirmed soon.

Travel Tips

Travel to Toronto

TRAVEL IN TORONTO

Tourism Toronto

Register

kalai@re-work.co

Partners

Sponsored by

Global & previous partners include:


Exhibitors & Startup Showcase Area

Global & previous exhibitors include:


Media Partners & Press


What they say

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Chief Knowledge Officer, NASA

"Excellent event. Good combination of highly technical and broader presentation that gave me a good understanding of the current state and potential of the Deep Learning" RE•WORK Deep Learning Summit San Fran 2015

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Director of IoT Market Strategy, Xively

"'I’ve been to countless IoT events, and this was hands down one of the most interesting. It was nice to see actual people building actual connected products giving their perspective." RE•WORK IoT Summit Boston 2015

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Future & Emerging Technologies Unit

"RE•WORK provided a unique mix of technology, from the exploration of latest scientific findings to startups that can make them a reality" RE•WORK Technology Summit London 2014


Featured In

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Future Events

Women in Machine Intelligence Dinner San Francisco

23 January 2018, San Francisco

Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.

AI Assistant Summit San Francisco

25 January 2018, San Francisco

The next generation in predictive intelligence. Anticipating user & business needs to alert & advise logical steps to increase efficiency. The summit will showcase the opportunities of advancing trends in AI Assistants & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?

Deep Learning Summit San Francisco

25 January 2018, San Francisco

The Deep Learning Summit is the next revolution in artificial intelligence. The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research. This summit will explore how deep learning algorithms and methods are being applied to solve challenges in industries including healthcare, manufacturing, transport, security and communications.

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