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

Confirmed Speakers

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Mozilla announced a mission to help developers create speech-to-text applications by making voice recognition and deep learning algorithms available to everyone. The company’s machine learning group is one step closer to completing that mission with the initial open source release of its speech recognition model and voice dataset.

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A new program, detailed in a paper titled, “Generative Visual Manipulation on the Natural Image Manifold”, uses machine learning to edit images based on an understanding of what looks real and what doesn't. It then generates output which ensures that every edit performed by the user creates a realistic-looking result, regardless of their level of ability.

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Machine learning is playing an increasingly significant role in emerging mobile application domains such as AR/VR, ADAS, etc. Accordingly, hardware architects have designed customized hardware for machine learning algorithms, especially neural networks, to improve compute efficiency.

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Known for its See & Spray Technology, Blue River is one ag tech startup bringing machine learning into reality—and into the field. Starting in Texas and spanning to Georgia and through the Mississippi Delta, Blue River will partner with John Deere dealers to identify local farmers as test cooperators for in-field demos in 2018.

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Most of our smart devices can predict what we want to do next, but they can’t understand why we're going to do it. That’s what Rana el Kaliouby, cofounder and CEO of Affectiva, is hoping to change with technology that reads humans’ facial expressions.

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Yosinski is performing a kind of brain surgery on the AI running on his laptop. Like many of the AIs that will soon be powering so much of modern life, this program is a deep neural network, with an architecture loosely inspired by the brain. And like the brain, the program is hard to understand from the outside: It’s a black box.

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Why Attend

Speakers

Extraordinary Speakers

Discover advances in deep learning & smart artificial intelligence from the world's leading innovators. Learn from industry experts & academics in speech & image recognition, neural networks & big data. Explore how deep learning will impact communications, manufacturing, healthcare & transportation.

Tech

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in deep learning and their impact on business & society. Will smart artificial intelligence finally rival human intelligence? Learn the latest technological advancements & industry trends from a global line-up of experts.

Network

Expand Your Network

A unique opportunity to interact with business leaders, influential technologists, data scientists & entrepreneurs leading the deep learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to advance the smart artificial intelligence revolution.

Who

Who Should Attend

  • Data Scientists
  • Data Engineers
  • Machine Learning Scientists
  • Developers
  • Entrepreneurs
  • Director of Engineering
  • Big Data Experts
Speechbubbles

Join the discussion

  • 40 speakers
  • 300 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7 + hours of networking
  • Access to all the filmed presentations
  • Discover technology shaping the future
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Topics we cover

Neural Networks
Neural Networks
Machine Learning
Machine Learning
Pattern Recognition
Pattern Recognition
Image Retrieval
Image Retrieval
Computing Systems
Computing Systems
Speech Recognition
Speech Recognition
Robotics
Robotics
Technology Infrastructure
Technology Infrastructure

Confirmed Attendees include:

MIT
Bosch
facebook
Netflix
salesforce
Universite de Montreal
Kindred AI
Stanford University
McGill
UC Berkeley
Carnegie Mellon
NASA
FDA
Topos labs
University Western Ontario
Mozilla
Uber
Drive Capital
Vanguard
Philips
Carnegie Mellon University

Sponsors Include:

Exhibitors & Startups include:

Media Partners & Press

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