THIS SUMMIT IS CO-LOCATED WITH the Deep Learning in Healthcare SUMMIT

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

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Confirmed Speakers

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Rix Ryskamp

CEO

useAIble

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Cansu Canca

Founder/Director

AI Ethics Lab

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Mark Homer

Director of Data Science

Aetna

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Chris Lott

Senior Staff Engineer

Qualcomm Technologies

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Rumman Chowdhury

Senior Principal

Accenture

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Ziming Zhang

Research Scientist

Mitsubishi Electric Research Laboratories

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Bill Aronson

CEO

Artificial Intelligence Research Group

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Jim Dowling

Associate Professor

KTH Royal Institute of Technology

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David Harwath

Research Scientist

MIT CSAIL

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William Moses

PhD student

MIT CSAIL

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Greg Amis

Principal Software Engineer

TripAdvisor

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Narine Kokhlikyan

Machine Learning Engineer

Slice Technologies

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Sergul Aydore

Machine Learning Scientist

Amazon

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Tom Wilde

CEO

indico

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Miguel Campo

SVP of Data Science & Analytics

Twentieth Century Fox Film Corp

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Daniel Smilkov

Software Engineer

Google Brain

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Anoop Deoras

Lead Researcher

Netflix

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Nikhil Thorat

Software Engineer

Google Brain

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Nitin Sharma

Distinguished Scientist

PayPal

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Bjarke Felbo

Research Assistant

MIT Media Lab

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Kelly Davis

Machine Learning Researcher

Mozilla

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Jeshua Bratman

Staff Software Engineer

Twitter Cortex

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Sangram Ganguly

Senior Research Scientist

NASA Ames Research Center/ BAER Institute

More Speakers Coming Soon

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Along with being able to automatically surface images based on corresponding audio clips and vice versa, research lead by David Harwath & James Glass opens a path to creating language-to-language translation without needing to go through the laborious steps of training AI systems on the correlation between two languages’ words.

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Boston-based Indico aims to make machine learning more accessible to the masses of smaller organizations that have yet to adopt the technology. The issue, it said, is that machine learning’s potential remains largely untapped because of the enormous amounts of data needed to make it work.

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There are many reasons to bring machine learning into the browser. A client-side ML library can be a platform for interactive explanations, for rapid prototyping and visualization. With that, Google have created deeplearn.js 0.1.0, an open source WebGL-accelerated JavaScript library for ML.

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Detecting the sentiment of social-media posts is already useful for tracking attitudes toward brands and products, and for identifying signals that might indicate trends in the financial markets. Luckily, Bjarke Felbo, a researcher at MIT developed an algorithm to analyze tweets to detect sarcasm and emotional subtext.

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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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For more than a year, Twitter have enhanced our timeline to show the best Tweets for you first, they have worked to improve the underlying algorithms in order to surface content that is even more relevant to you. Here they explain how their ranking algorithm is powered by DNN's, leveraging the modeling capabilities and AI platform built by Cortex.

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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
Document

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
Pattern Recognition
Pattern Recognition
Image Retrieval
Image Retrieval
Computing Systems
Computing Systems
Speech Recognition
Speech Recognition
Robotics
Robotics

Confirmed attendees include

Thomson Reuters
MIT
bosch
VISA
Trip Advisor
ABBYY
Forge.AI
True Motion
State Farm
Rutgers
Moffitt Cancer Center
Red Hat

Register

For general event enquiries, for information on not-for-profit or government rates, or to pay via invoice please contact the Customer Relationship Manager John McNicholas via john@re-work.co

Confirmed partners include:

CONFIRMED exhibitors include:

Media Partners & Press

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