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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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Speakers

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Rodolfo Rosini

Co-Founder & CEO

Weave.ai

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John Spindler

CEO

Capital Enterprise

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Liberty Mawhood

Chief Operating Officer

L Marks

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Nigel Walker

Head of Access to Finance

Innovate UK

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David Richardson

Senior Business Development Executive

School of Informatics, University of Edinburgh

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Andrei Brasoveanu

Investment Team

Accel Partners

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Maria Dramalioti-Taylor

Founding Managing Partner

Beacon Capital

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Alex Dalyac

Co-Founder & CEO

Tractable

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Frank Webster

Campaigns Director

Seedrs

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Sally Davies

Senior Editor

Aeon

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Jason Ball

Senior Director

Qualcomm Ventures

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Nathan Benaich

Investor

Playfair Capital

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John Henderson

Principal

White Star Capital

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Davide Morelli

CTO

BioBeats

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Will Prendergast

Partner

FrontLine Ventures

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Marius Cobzarenco

Co-Founder & CTO

re:infer

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Wally Trenholm

Founder & CEO

Sightline Innovation

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John Overington

Director of Bioinformatics

Benevolent.ai

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Tony Robinson

Founder & CTO

Speechmatics

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Alison B Lowndes

Deep Learning Solutions Architect & Community Manager EMEA

NVIDIA

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Marie-Francine Moens

Professor

KU Leuven

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Juris Puce

CTO

Kleintech

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Cees Snoek

Director

QUVA

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Sven Behnke

Head of Autonomous Intelligent Systems Group

University of Bonn

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Ekaterina Volkova-Volkmar

Lead Data Scientist

Codec

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Nic Lane

Associate Professor

UCL

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Alex Matei

Digital Health Manager

Nuffield Health

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Miriam Redi

Research Scientist

Bell Labs Cambridge

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Jeffrey de Fauw

Research Engineer

DeepMind

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Jason Cassidy

MD, Chief Science Officer

Sightline Innovation

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Jörg Bornschein

Research Scientist

DeepMind

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Sander Dieleman

Research Scientist

Google DeepMind

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Simon King

Early Stage Investor

Octopus Investments

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Eiso Kant

Co-Founder & CEO

source{d}

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Andrew Simpson

Research Fellow

University of Surrey

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Koray Kavukcuoglu

Research Scientist

Google DeepMind

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Blaise Thomson

CEO

VocalIQ

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Paul Murphy

CEO

Clarify

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Sébastien Bratières

Speech Evangelist at dawin gmbh & PhD Researcher

University of Cambridge

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Bernardino Romera Paredes

Postdoctoral Research Assistant

University of Oxford

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Lior Wolf

Faculty member

Tel-Aviv University

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Max Welling

Director

QUVA

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Alejandro Jaimes

CTO & Chief Scientist

Acesio

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Ben Medlock

Co-Founder & CTO

Swiftkey

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Martin Bryant

Editor-in-Chief

The Next Web

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Appu Shaji

Head, Research & Development

EyeEm

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Matthew Zeiler

Founder & CEO

Clarifai Inc

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Alex Graves

Research Scientist

Google DeepMind

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Daniel Hulme

CEO

Satalia

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David Plans

CEO

BioBeats

More Speakers Coming Soon

Get to know the speakers

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Getting a machine to put one foot in front of the other has been a priority for roboticists for decades. Two years ago Sven Behnke and his team of the University of Bonn participated in the DARPA Robotics Challenge trying to tackle the issue of locomotion.

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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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In the UK one if four people suffer from at least one psychiatric disorder. The outlook may sound bleak, but with the rising awareness, new digital businesses are finding ways to improve our own wellbeing every day. BioBeats is one such company that’s fighting to improve our mental health, with online services and apps like Pulse, and Hear and Now.

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Why Attend

Speakers

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.

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 300+ 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

  • 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
Document

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 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.

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

Travel to London

Travel in London

Register

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

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