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Intel® AI DevCon 2018

Register now

Make Your Next Move in AI

Connect with top minds in data science, machine and deep learning, application development, and research to hear the latest perspectives and see practical implementations that break barriers between theory and real-world function.

Get two full days of hands-on training on TensorFlow*, MXNet*, AWS DeepLens* and more, see real-world demos by GE, Lenovo, NASA, Ferrari Challenge and others, and hear leading-edge research from experts including Professor Yisong Yue from Caltech and Matt Zeiler, Founder and CEO of Clarifai.

Preview the agenda

See AI in the real world

See AI in the real world

View demos and hear use cases in retail, healthcare, transportation, industry and more. Featured implementations include BMW, Ferrari Challenge, GE, NASA, Princeton, and many others.

Learn about breakthroughs

Learn about breakthroughs

Hear from thought leaders from Amazon, Microsoft, Google, Caltech, Clarifai, GE Healthcare, SGI, C3 IoT, and more.

Build skills

Build skills

Attend in-depth technical tracks, hands-on labs, and poster presentations, and find new value in existing skill sets and tools, like TensorFlow* and MXNet*.

Get connected

Get connected

Meet top minds in the industry with new perspectives, and gain insights from experts in data science, machine learning, deep learning, and more.

Featured speakers

Naveen Rao

Corporate Vice President, General Manager, AI Products Group, Intel Corporation

Opening Keynote

Genevieve Bell

Director, Autonomy, Agency and Assurance (3A) Institute and Senior Fellow, Intel Corporation Presentation: Beyond the Trolley Problem - Ethics in AI

Tom Siebel

Founder and CEO, C3 IoT Presentation: AI at Enterprise Scale

Yisong Yue

Assistant Professor, Computing and Mathematical Sciences, California Institute of Technology Presentation: New Frontiers in Imitation Learning

Matt Zeiler

Founder and CEO of Clarifai

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Anna Bethke

Senior Data Scientists, AI Products, Intel Corporation
Hands-On Lab: Natural Language Question/Answer Systems

Dr. Yurong Chen

Senior Research Director and Principle Research Scientist, Intel Corporation and Director of Cognitive Computing Lab, Intel Labs China
Session: Making Sense of Visual Data

David Chevalier

Principal Engineer, GE Healthcare
Session: Cost-effective Deployment of CT Axial Classification Algorithm

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Hisham Chowdhury

Senior Software Engineer/Software Architect, Intel Corporation
Session: Accelerating and Enabling your Deep Learning Apps on MacOS

Harini Eavani

Deep Learning Data Scientist, AI Products, Intel Corporation
Session: Deep Learning Applied to Genomics

Greg Filla

Product Manager/Data Scientist, IBM
Session: Deep Learning at Scale with BigDL on Apache Spark and IBM DSX

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Bryn Keller

Senior Data Scientist, AI Products, Intel Corporation
Session: Topological Data Analysis with Persistent Homology

Sujee Maniyam

Big Data Practitioner and Co-founder, Elephant Scale
Hands-On Lab: Build Deep Learning Powered Big Data Solutions with BigDL for Apache Spark*

Tim Mattson

Senior Principal Engineer, Intel Corporation
Session: Solving for Data, a System Approach to AI with tileDB: Array Data Needs an Array Storage Manager

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Mike Miller

Senior Manager, Product Management, Amazon Web Services (AWS) AI
Hands-On Lab: AWS DeepLens Workshop: Building Computer Vision Applications

Banu Nagasundaram

Product Engineer, AI Products, Intel Corporation
Session: Advancing AI Performance using Intel® Xeon® Scalable Systems

Fletch Nelson

Solution Architect, Amazon
Hands-On Lab: Designing Far-field Speech Processing Systems with Intel and Alexa Voice Service

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Jyothi Nookula

Senior Product Manager, AI and Deep Learning, Amazon Web Services (AWS)
Hands-On Lab: AWS DeepLens Workshop: Building Computer Vision Applications

Gal Novik

Senior Research Engineer, Intel® Nervana® Algorithms, Intel Corporation
Session: Reinforcement Learning Coach Introduction and Demo

David Ojika

Doctoral Student, University of Florida
Session: Fast CNN Inference in Resource-Constrained Environments

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Vikram Saletore

Principal Engineer, Distributed Analytics and Machine Learning Performance, Intel Corporation
Session: Advancing AI Performance using Intel® Xeon® Scalable Systems

Benoit Scherrer

Assistant Professor in Radiology, Harvard Medical School, Boston Children's Hospital
Session: Accelerated Characterization of Neural Circuits of the Brain

Prashant Shah

Principal Engineer, Intel Corporationl
Session: Cost-Effective Deployment of CT Axial Classification Algorithm

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Gadi Singer

Vice President, Architecture GM, AI Products Group, Intel
Session: Deep Learning and the Transformation of Science Exploration

Joe Spisak

Product manager, Facebook
Fireside Chat: ONNX Panel Discussion

Salil Tambe

Computer Scientist, Adobe
Session: Bringing Deep Learning Based Applications to Client Platform

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Simon Warfield

Thorne Griscom Chair of Radiology at Harvard Medical School, Director of the Computational Radiology Laboratory (CRL), Director of Research of the Department of Radiology at Boston Children's Hospital
Session: Accelerated Characterization of Neural Circuits of the Brain

Yuan Yu

Software architect, Microsoft
Fireside Chat: ONNX Panel Discussion

Schedule

  • Wed May 23
  • Thurs May 24

Wed May 23

May 23rd

Time

Session

7:30 am – 9:00 am

Registration, Grab and Go Breakfast

9:00 am – 12:30 pm

Keynote: Naveen Rao, Intel
Featured Presentations:
- Tom Siebel, C3 IoT
- Professor Yisong Yue, CalTech
- Matt Zieler, Clarifai
- Genevieve Bell, 3A Institute

12:30 pm – 1:30 pm

Lunch, Poster Presentations, Demo Expo Opens

1:30 pm – 5:30 pm

Breakout Sessions, Hands-On Labs

5:30 pm – 8:30 pm

Happy Hour

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Thurs May 24

May 24

Time

Session

7:30 am – 9:00 am

Demo Expo Opens, Grab and Go Breakfast

9:00 am – 12:00 pm

Breakout Sessions, Hands-On Labs

12:00 pm – 1:00 pm

Lunch, Poster Presentations

1:00 pm – 5:00 pm

Breakout Sessions, Hands-On Labs

5:00 pm

Event Concludes

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Plan your trip

Explore the historic Palace of Fine Arts in San Francisco and get tips for travel and where to stay. 

Learn more

Register by May 1 to save

Our Inaugural-year pricing makes this the most affordable, full-featured AI conference to date. 

Register now

Pass Type

Early Bird
through May 1

Regular
May 2–May 22

On-Site
May 23–24

Academia Full Conference

$49

$99

$199

General Admission Full Conference

$199

$299

$399

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