Where machine learning meets artificial intelligence. The rise of intelligent machines to make sense of data.

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Speakers

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Melody Guan

Deep Learning Resident

Google Brain

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Nick Pentreath

Principal Engineer

IBM

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Robinson Piramuthu

Head of AI – Computer Vision

NPD, eBay Inc.

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Amy Gershkoff

Chief Data Officer

Ancestry

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Mihajlo Grbovic

Senior Machine Learning Scientist

Airbnb

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Abi Komma

Senior Data Scientist

Uber

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Shelley Zhuang

Founder & Managing Partner

Eleven Two Capital

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Veronica Osinski

Founder & Managing Director

Trifecta Capital

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Minjoon Seo

PhD Student

University of Washington

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Zornitsa Kozareva

Manager, Machine Learning for Alexa

Amazon

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Hanie Sedghi

Research Scientist

Allen Institute for Artificial Intelligence

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Prabhat

Group Lead, Data & Analytics

Lawrence Berkeley National Lab

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Alex Brokaw

Writer

Freelance

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Suzanne Gildert

Co-Founder & CSO

Kindred

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Saman Farid

Founder

Comet Labs

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Cory Kidd

CEO

Catalia Health

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Jeremy Stanley

VP of Data Science

Instacart

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Chris Slowe

Founding Engineer

Reddit

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Gilles Backhus

Sensor Systems Engineer

Lilium Aviation

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Erik Schmidt

Senior Scientist

Pandora

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Rudina Seseri

Founder & Managing Partner

Glasswing Ventures

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Junhyuk Oh

PhD Researcher

University of Michigan

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Katherine Livins

Data Scientist

Stitch Fix

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Stacey Svetlichnaya

Software Development Engineer

Flickr

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Stuart Feffer

Co-Founder & CEO

Reality AI

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Kevin Hightower

Director of Product

AirMap

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Conal Sathi

Data Alchemist

Slice Technologies

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Ryan Lowe

Intern & PhD Student - McGill University

OpenAI

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Nick Gaylord

Sr. Data Scientist

CrowdFlower

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Modar Alaoui

CEO & Founder

Eyeris

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Hossein Taghavi

Senior Research Engineer

Netflix

More Speakers Coming Soon

Get to know the speakers

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With deep learning, researchers can feed huge amounts of data into software systems called neural nets that learn to recognize patterns within the vast information faster than humans. If computers could observe and perceive on their own that could help solve more complex problems?

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Ask Geordie Rose and Suzanne Gildert, co-founders of the startup Kindred, about their company’s philosophy, and they’ll describe a bold vision of the future: machines with human-level intelligence. Rose says these will be perhaps the most transformative inventions in history — and they aren’t far away.

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Behavioral psychologists have long used mazes to study memory and learning; their subjects, mostly rats and mice. Now researchers are beginning to use the same approach to test an entirely new kind of subject—the latest breed of artificial intelligence machine. Hear more from Junhyuk Oh, University of Michigan.

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Stitch Fix are currently applying machine learning for better building human/computer hybrid systems for better client outcomes. Katherine livins will discuss how they aim to leverage the natural strengths of both systems in order to produce a better overall algorithm.

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Having parsed millions of images, Flickr’s deep learning algorithm has learned to recognize 1,000 different objects in images. It does this by passing them through a series of layers, each of which transforms the original image and performs progressively more and more complex computations on it.

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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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Why Attend

Speakers

Extraordinary Speakers

Discover advances in machine learning and artificial intelligence from the world's leading innovators. Learn from the industry experts in speech & image recognition, natural language processing and computer vision. Explore how AI will impact transport, manufacturing, healthcare, retail and more.

Tech

Discover Emerging Trends

The summit will showcase the opportunities of advancing trends in machine learning and their applications in business and society. Machine intelligence is enabling applications including virtual assistants, robots to help assisted living, and identifying items in videos. What else can it solve?

Network

Expand Your Network

A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine intelligence revolution. Learn from & connect with 300+ industry innovators sharing best practices to advance machine learning and AI impact and opportunities.

Who

Who Should Attend

  • Chief Data Scientists
  • CTOs
  • Founders
  • Director of Engineering
  • CEOs
  • Data Engineers
  • Software Engineers
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

Machine Learning
Machine Learning
NLP
NLP
Drones
Drones
Deep Learning
Deep Learning
Speech Recognition
Speech Recognition
AI
AI
Pattern Recognition
Pattern Recognition
Robotics
Robotics

Confirmed Attendees Include

Intel
ebay
Netflix
Samsung
Amazon
IBM
Apple
MIT
Ford
capital one
Climate Corporation
NVXL

Venue

The South San Francisco Conference Center is centrally located on the edge of Silicon Valley, minutes from San Francisco Airport and 20 minutes from downtown San Francisco.

View a map of nearby hotels here.

View more information on hotels, restaurants, and things to do on our Pinterest page.

 San Francisco

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