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

Speakers

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Deep Learning for Embedded Devices: The Next Step in Privacy-Preserving High-Precision Mobile Health and Wellbeing Tools. Nic Lane's research is aiming to completely change how mobile sensor data is processed -- and in turn, what mobile health tools are capable of -- in the next generation of embedded and wearable devices.

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Google is using its DeepMind computing system to search for early signs of diabetic retinopathy and neovascular age-related macular degeneration (nAMD). The research has the potential to revolutionise the way professionals carry out eye tests.

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Deep Learning Machine Solves the Cocktail Party Problem. Andrew Simpson and team have used some of the most recent advances associated with deep neural networks to separate human voices from the background in a wide range of songs.

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Machine learning firm VocalIQ are working on an "advanced voice-control system" to let you control navigation, wipers and other car components in a more intuitive way. Voice recognition will learn the driver's intentions and vocabulary over time.

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Facebook researchers are currently developing algorithms called “DeepFace” to detect whether two faces in unfamiliar photos are of the same person with 97.25% accuracy, regardless of lighting conditions or angles. Lior Wolf, Faculty Member at Tel Aviv University is currently working alongside Facebook researchers on the development.

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Max Welling is a Professor of Computer Science at the University of Amsterdam and the University of California Irvine. Welling’s research focuses on large-scale statistical learning. He has made contributions in Bayesian learning, approximate inference in graphical models, deep learning and visual object recognition.

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EyeEm, the social photo-sharing community and marketplace, has unveiled a clever new technology that lets photographers upload their images and run them through an algorithm for instant keywording and aesthetic ranking.

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Clarifai is offering a service that uses deep learning to understand video. The company says its software can rapidly analyze video clips to recognize 10,000 different objects or types of scene. The technology can be used for things like matching ads to content in online videos.

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DeepMind’s systems use neural networks and “deep learning” methods that deploy low-level transistor networks to produce high-level effects so that they can, for instance, distinguish a cat’s face from a human one – a trivial task for a human, but hard for a machine. That has been developed into “artificial general intelligence”.

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Why Attend

Extraordinary Speakers

Discover advances in deep learning and smart artificial intelligence from the world's leading innovators. Learn from the industry experts in speech & image recognition, neural networks and 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 300+ 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
  • 300 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

  • Pattern Recognition

    Pattern Recognition

  • Image Retrieval

    Image Retrieval

  • Computing Systems

    Computing Systems


Companies Attending

  • Accenture
  • Tesco Bank
  • Ocado
  • Skype
  • Imperial
  • Max Planck
  • UCL
  • Product Health

Venue

etc.venues 155 Bishopsgate, Liverpool St, London EC2M 3YD

ETC Venues is located next to Liverpool St. Station in The City of London.

View a map of nearby hotels here.

View more information on hotels, restaurants, and things to do in London on our Pinterest page.

Travel Tips

Travel to London

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Partners

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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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Future Events

Deep Learning Summit San Francisco

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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.

Virtual Assistant Summit San Francisco

26 January 2017, 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 VAs & their impact on business & society. What impact will predictive intelligence have on business efficiency & personal organization?

Women in Machine Intelligence Dinner

21 February 2017, London

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.

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