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.
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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.
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.
Hear from thought leaders from Amazon, Microsoft, Google, Caltech, Clarifai, GE Healthcare, SGI, C3 IoT, and more.
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*.
Meet top minds in the industry with new perspectives, and gain insights from experts in data science, machine learning, deep learning, and more.
Corporate Vice President, General Manager, AI Products Group, Intel Corporation
Opening Keynote
Director, Autonomy, Agency and Assurance (3A) Institute and Senior Fellow, Intel Corporation Presentation: Beyond the Trolley Problem - Ethics in AI
Founder and CEO, C3 IoT Presentation: AI at Enterprise Scale
Assistant Professor, Computing and Mathematical Sciences, California Institute of Technology Presentation: New Frontiers in Imitation Learning
Founder and CEO of Clarifai
Senior Data Scientists, AI Products, Intel Corporation Hands-On Lab: Natural Language Question/Answer Systems
Senior Research Director and Principle Research Scientist, Intel Corporation and Director of Cognitive Computing Lab, Intel Labs China Session: Making Sense of Visual Data
Principal Engineer, GE Healthcare Session: Cost-effective Deployment of CT Axial Classification Algorithm
Senior Software Engineer/Software Architect, Intel Corporation Session: Accelerating and Enabling your Deep Learning Apps on MacOS
Deep Learning Data Scientist, AI Products, Intel CorporationSession: Deep Learning Applied to Genomics
Product Manager/Data Scientist, IBM Session: Deep Learning at Scale with BigDL on Apache Spark and IBM DSX
Senior Data Scientist, AI Products, Intel Corporation Session: Topological Data Analysis with Persistent Homology
Big Data Practitioner and Co-founder, Elephant Scale Hands-On Lab: Build Deep Learning Powered Big Data Solutions with BigDL for Apache Spark*
Senior Principal Engineer, Intel Corporation Session: Solving for Data, a System Approach to AI with tileDB: Array Data Needs an Array Storage Manager
Senior Manager, Product Management, Amazon Web Services (AWS) AI Hands-On Lab: AWS DeepLens Workshop: Building Computer Vision Applications
Product Engineer, AI Products, Intel Corporation Session: Advancing AI Performance using Intel® Xeon® Scalable Systems
Solution Architect, Amazon Hands-On Lab: Designing Far-field Speech Processing Systems with Intel and Alexa Voice Service
Senior Product Manager, AI and Deep Learning, Amazon Web Services (AWS) Hands-On Lab: AWS DeepLens Workshop: Building Computer Vision Applications
Senior Research Engineer, Intel® Nervana® Algorithms, Intel Corporation Session: Reinforcement Learning Coach Introduction and Demo
Doctoral Student, University of Florida Session: Fast CNN Inference in Resource-Constrained Environments
Principal Engineer, Distributed Analytics and Machine Learning Performance, Intel Corporation Session: Advancing AI Performance using Intel® Xeon® Scalable Systems
Assistant Professor in Radiology, Harvard Medical School, Boston Children's Hospital Session: Accelerated Characterization of Neural Circuits of the Brain
Principal Engineer, Intel Corporationl Session: Cost-Effective Deployment of CT Axial Classification Algorithm
Vice President, Architecture GM, AI Products Group, Intel Session: Deep Learning and the Transformation of Science Exploration
Product manager, Facebook Fireside Chat: ONNX Panel Discussion
Computer Scientist, Adobe Session: Bringing Deep Learning Based Applications to Client Platform
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
Software architect, Microsoft Fireside Chat: ONNX Panel Discussion
Time |
Session |
---|---|
7:30 am – 9:00 am |
Registration, Grab and Go Breakfast |
9:00 am – 12:30 pm |
Keynote: Naveen Rao, Intel |
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 |
Explore the historic Palace of Fine Arts in San Francisco and get tips for travel and where to stay.
Our Inaugural-year pricing makes this the most affordable, full-featured AI conference to date.