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

Speakers

Get to know the speakers

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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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"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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Despite the noisy hype, which sometimes distracts, machine intelligence is already being used in several valuable ways. Machine intelligence already helps us get the important business information we need more quickly, monitors critical systems, feeds our population more efficiently, reduces the cost of health care, detects disease earlier, and so on.

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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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There are infrastructure issues for deep learning. Facebook serves ads for 2 million advertisers a day; trillions of ads are ranked daily, and the company does 414 million daily language translations, such large volumes at such a rapid rate creates a huge infrastructure challenge.

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Ofir Nachum will be sharing his latest work from the recently published paper: 'Improving Policy Gradient by Exploring Under-appreciated Rewards' - presents a novel form of policy gradient for model-free reinforcement learning (RL) with improved exploration properties.

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Preferred Networks took part in the 2016 Amazon Picking Challenge and used Deep Learning algorithms & Chainer, a Python-based Open Source Deep Learning framework, on input data obtained from image and 3D location sensors for object detection and localization.

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Sergey Levine, Assistant Professor at UC Berkeley has been listed as one of the 35 Innovators Under 35 by MIT Technology Review for his work creating a robot that supervises its own learning. “It’s reverse-engineering its own behavior,” Levine said.

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A Brief Overview of Deep Learning from Google's Ilya Sutskever. What’s so special about deep learning? Why does it work now, and how does it differ from neural networks of old? How will it impact your industry? Hear more from Ilya at the summit.

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Tony Jebara and colleagues at Columbia University will work with oceanographers to understand what has caused an unusual plankton-like species to rapidly invade the Arabian Sea food chain, threatening fisheries that sustain more than 100 million people living at the sea's edge.

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A new technology developed at Berkeley from a team including Alexei Efros, claims to be able to create photorealistic images from just a few simple digital brush strokes. It uses machine learning to edit images based on an understanding of what looks real and what doesn't.

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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

  • 40 speakers
  • 450 leading technologists & innovators
  • 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

  • Machine Learning

    Machine Learning

  • Deep Learning Algorithms

    Deep Learning Algorithms

  • Voice Recognition

    Voice Recognition

  • Natural Language Processing

    Natural Language Processing

  • Computer Vision

    Computer Vision

  • Pattern Recognition

    Pattern Recognition

  • Speech Recognition

    Speech Recognition

  • Predictive Intelligence

    Predictive Intelligence

  • Virtual Assistants

    Virtual Assistants

  • Image Retrieval

    Image Retrieval

  • Autonomous Vehicles

    Autonomous Vehicles


Confirmed Attendees Include

  • Apple
  • hitachi
  • Fujitsu
  • alpha sense
  • PwC
  • capital one
  • Microsoft
  • Intel
  • Cogniance
  • openai
  • kholsa ventures
  • uber
  • tivo
  • arterys
  • glidewell
  • dell
  • NVIDIA
  • Autodesk1
  • American Express
  • Ricoh

Venue

Park Central Hotel, 50 3rd St, San Francisco, CA 94103

A block from Market Street in the Downtown neighborhood of SoMa, the Park Central is a contemporary hotel, a 2-minute walk from Montgomery Street BART/Muni Metro station, and a 9-minute walk from Union Square.

View more information on hotels & things to do in San Francisco on our Pinterest page.

Travel Tips

Travel

Register

For enquiries about the event or to pay via invoice please contact the summit creator Nikita Johnson via hello@re-work.co

Partners

Sponsored by


Exhibitors & Startup Showcase Area


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


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