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

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Want to know when to sell Bitcoins? Devavrat Shah and researchers at MIT are working on deep learning methods to predict prices. “The strategy experimented holds [a] minimal position — at most 1 Bitcoin (+ or −). This leads to nearly doubling of investment in 50 days".

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MIT Neurotech: Mapping the Brain with Connectomics. Through pairing nanoresolution 3D digitized brains with deep learning, researchers at Eyewire are able to analyze neural circuits at synaptic detail. This could help tp understand links between psychological disorders & miswirings in the brain.

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“The broad goal is to become the emotion layer of the Internet,” says Affectiva co-founder Rana el Kaliouby, a former MIT postdoc who invented the technology. “We believe there’s an opportunity to sit between any human-to-computer, or human-to-human interaction point, capture data, and use it to enrich the user experience.”

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"As an app for tagging and searching photos, it appears very rich. It tags smartphone photos using dozens of different categories, including place, date, object and scene. It also recognizes faces — either by connecting to your social networks and matching contacts with people in the photos, or by building collections of photos including the same face and letting users label them manually". GigaOM

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Ryan Adams, Assistant Professor of Computer Science at Harvard is also co-host for the 'Talking Machines' podcast. Episodes include: The Future of Machine Learning from the Inside Out; Using Models in the Wild and Women in Machine Learning; Common Sense Problems and Learning about Machine Learning and Machine Learning and Magical Thinking.

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The World Resources Institute have partnered with Orbital Insight, a startup that focuses on analyzing data from satellites using deep learning algorithms to monitor the extent of deforestation and find risk factors leading to high levels of deforestation.

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Andrew Ng is a leading voice in “deep learning,” a branch of artificial intelligence in which scientists try to get computers to “learn” for themselves by processing massive amounts of data. He was part of a team that in 2012 famously taught a network of computers to recognize cats after being shown millions of photos.

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Why Attend

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.

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.

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 Should Attend

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

Join the discussion

  • 50 speakers
  • 200 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 agenda in 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

  • Big Data

    Big Data

  • Neural Networks

    Neural Networks

  • Machine Learning

    Machine Learning

  • Deep Learning Algorithms

    Deep Learning Algorithms

  • Speech Recognition

    Speech Recognition

  • Image Retrieval

    Image Retrieval

  • Pattern Recognition

    Pattern Recognition

  • Computing Systems

    Computing Systems


Companies Attending

  • Toyota
  • Apple
  • Dropbox
  • ebay
  • Ford
  • PwC
  • Thomson Reuters

Venue

Hyatt Regency Boston 1 Avenue de Lafayette, Boston, MA 02111

The Hyatt Regency Boston is steps from Boston’s most desirable area-attractions such as the Boston Common, Faneuil Hall, and Newbury Street. Tour the Freedom Trail, visit the Museum of Fine Arts, or catch a game at historic Fenway Park, all just minutes from the hotel.

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

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

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