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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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Katherine Gorman

Executive Producer

Talking Machines

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Arno Candel

Chief Architect

H2O.ai

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Olexandr Isayev

Research Scientist

University of North Carolina

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Lauren Berkowitz

Former SVP, Product & Business Development

One Llama Labs

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Aude Oliva

Principal Research Scientist

MIT

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Kevin O'Brien

CEO & Founder

GreatHorn

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Paul Murphy

CEO

Clarify

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Devavrat Shah

Associate Professor

MIT

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Dhruv Batra

Assistant Professor

Virginia Tech

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Alexander Schwing

Fields Postdoctoral Fellow

University of Toronto

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Bart Peintner

CTO, Chief Scientist, Founder

Loop AI Labs

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Aditya Khosla

Research Assistant

MIT

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Tara Sainath

Senior Research Scientist

Google

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Will Silversmith

Technical Lead

EyeWire

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Adam Hanina

CEO

AiCure

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Marc Delingat

Senior Director, Global Product Experience

eBay

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Amy Robinson

Executive Director

EyeWire

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Daniel McDuff

Director of Research

Affectiva

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Christian Szegedy

Staff Research Scientist

Google

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Meng Wang

Co-founder & CTO

Orbeus

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Ryan Adams

Assistant Professor of Computer Science

Harvard

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Jianxiong Xiao

Assistant Professor

Princeton University

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Kevin Murphy

Research Scientist

Google

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Alejandro Jaimes

CTO & Chief Scientist

Acesio

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Claudia Perlich

Chief Scientist

Dstillery

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Patrick Ehlen

Head of Deep Learning

Loop AI Labs

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Richard Socher

Chief Scientist

Salesforce

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Charlie Tang

Research Scientist

Apple

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Modar Alaoui

CEO & Founder

Eyeris

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Clement Farabet

VP of AI Infrastructure

NVIDIA

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Aaron Steele

Sr. VP of Technical Business Development

CartoDB

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Hassan Sawaf

Senior Director, Human Language Technology

eBay

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Andrew Ng

Chief Scientist

Baidu

More Speakers Coming Soon

Get to know the speakers

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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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Deep learning has also spawned a number of emerging AI leaders and Richard Socher exemplifies their career trajectories and ambitions—advancing AI research as PhD candidates but not pursuing an academic career, starting companies and/or joining forces with established ones, all with a burning drive to make a big practical impact on the work and lives of as many people as possible.

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Eyeris is a world pioneer and leader of deep learning-based facial emotion recognition software. The company's flagship product EmoVu provides the most comprehensive suite of face analytics and is used in today's commercial applications such as automotive, robotics, and video analytics.

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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

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

  • 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
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
Image Retrieval
Image Retrieval
Pattern Recognition
Pattern Recognition
Computing Systems
Computing Systems

Companies Attending

Toyota
Apple
Dropbox
ebay
Ford
PwC
Thomson Reuters

Venue

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.

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

Travel

Hotels

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

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Exhibitors & Startup Showcase Area

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