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June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
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Keynotes

Hear inspiring and illuminating keynotes at the from some of the most innovative leaders in applied AI and intelligence engineering.

Roger Chen

Roger Chen
CEO, Computable

Roger Chen is cofounder and CEO of Computable and program chair for the O’Reilly Artificial Intelligence Conference. Previously, he was a principal at O’Reilly AlphaTech Ventures (OATV), where he invested in and worked with early-stage startups primarily in... Read More.

10:30am Wednesday, June 28, 2017
Program chairs Ben Lorica and Roger Chen close the first day of keynotes. Full Details
10:30am Thursday, June 29, 2017
Program chairs Ben Lorica and Roger Chen close the second day of keynotes. Full Details
9:00am Thursday, June 29, 2017
Program chairs Ben Lorica and Roger Chen open the second day of keynotes. Full Details
9:00am Wednesday, June 28, 2017
Program chairs Ben Lorica and Roger Chen open the first day of keynotes. Full Details
Anca Dragan

Anca Dragan
Assistant Professor, UC Berkeley

Anca Dragan is an assistant professor in the EECS Department at UC Berkeley. Her goal is to enable robots to work with, around, and in support of people. Anca runs the InterACT Lab, where she focuses on algorithms for... Read More.

9:25am Thursday, June 29, 2017
Autonomous cars tend to treat people like obstacles whose motion needs to be anticipated so that the car can best stay out of their way, resulting in ultradefensive cars that can't coordinate with people. Anca Dragan demonstrates how learning and optimal control can be leveraged to generate car behavior that results in natural coordination strategies. Full Details
Doug Eck

Doug Eck
Research Scientist, Google Brain

Douglas Eck is a research scientist at Google working in the areas of music and machine learning. Currently, Doug leads Magenta, a Google Brain project to generate music, video, images, and text using deep learning and reinforcement learning.... Read More.

9:05am Thursday, June 29, 2017
Doug Eck offers an overview of Magenta, a Google Brain project to develop new generative machine learning models for art and sound creation, allowing us to better understand how machine learning can be used by artists and musicians to make something new. Doug provides demos and explains where this work fits in with other AI research being done at Google and elsewhere. Full Details
David Ferrucci

David Ferrucci
Founder, Elemental Cognition

David Ferrucci is the founder of Elemental Cognition, a company focused on creating AI systems that autonomously learn from human language and interaction to facilitate complex decision making in areas ranging from healthcare to economics, and leads the Systematized Intelligence... Read More.

9:50am Wednesday, June 28, 2017
AI systems should not only propose solutions or answers but also explain why they make sense. Statistical machine learning is a powerful tool for discovering patterns in data, but, David Ferrucci asks, can it produce understanding or enable humans to justify and take reasoned responsibility for individual outcomes? Full Details
Damion Heredia

Damion Heredia
VP of Watson Embed, IBM Watson and Cloud Platform

Damion Heredia is the vice president of the “With Watson” business across IBM, where he is responsible for strategic partnerships with ISVs (Slack, Twitter, Salesforce, etc.) using Watson technology in their products and services to differentiate in the market.... Read More.

9:45am Wednesday, June 28, 2017
Damion Heredia explores how augmented intelligence is helping companies disrupt industries and enabling them to make better decisions. Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly

Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering.... Read More.

10:30am Wednesday, June 28, 2017
Program chairs Ben Lorica and Roger Chen close the first day of keynotes. Full Details
10:30am Thursday, June 29, 2017
Program chairs Ben Lorica and Roger Chen close the second day of keynotes. Full Details
9:00am Thursday, June 29, 2017
Program chairs Ben Lorica and Roger Chen open the second day of keynotes. Full Details
9:00am Wednesday, June 28, 2017
Program chairs Ben Lorica and Roger Chen open the first day of keynotes. Full Details
Jim McHugh

Jim McHugh
Vice President and General Manager, NVIDIA

Jim McHugh is vice president and general manager at NVIDIA. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions... Read More.

9:20am Wednesday, June 28, 2017
AI has the power to transform critical business processes, but new methods will be essential to analyze and visualize data—not as a one-time event but as a continuous process. As a result, a new computing paradigm and deep learning software stack will also be required to power, predict, and act on data to accelerate this transition and produce AI enterprise applications. Full Details
Peter Norvig

Peter Norvig
Director of Research, Google

Peter Norvig is a director of research at Google. Previously, he directed Google’s core search algorithms group. Peter is coauthor of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and coteacher of an artificial intelligence course that... Read More.

10:10am Thursday, June 29, 2017
Artificial intelligence is playing an increasingly important role in new software products, but the workflow of an AI researcher is quite different from the workflow of the software developer. Peter Norvig explains how the two can come together. Full Details
Naveen Rao

Naveen Rao
Vice President and General Manager, Artificial Intelligence Products, Intel

Naveen Rao is the vice president and general manager of Intel’s artificial intelligence products group. Naveen’s fascination with computation in synthetic and neural systems began around age nine when he began learning about circuits that store information and encountered the... Read More.

10:00am Thursday, June 29, 2017
Naveen Rao explains how Intel Nervana is evolving the AI stack from silicon all the way to the cloud so that true AI transformation can happen across every experience and every vertical. Full Details
Tuomas Sandholm

Tuomas Sandholm
Professor, Computer Science, Carnegie Mellon University

Tuomas Sandholm is professor in the Computer Science Department at Carnegie Mellon University, with affiliate professor appointments in the Machine Learning Department, the PhD program in algorithms, combinatorics, and optimization (ACO), and the CMU-Pitt joint PhD program in... Read More.

9:45am Thursday, June 29, 2017
Tuomas Sandholm offers an overview of Libratus—an AI that beat a team of four top specialist pros in heads-up no-limit Texas hold’em, which has 10^161 decision points—and explains how Strategic Machine is applying the domain-independent algorithms behind Libratus to a variety of imperfect-information games. Full Details
Suchi Saria

Suchi Saria
Assistant Professor, Johns Hopkins University

Suchi Saria is an assistant professor of computer science, health policy, and statistics at Johns Hopkins University. Her research interests are statistical machine learning and “precision” healthcare—specifically designing novel data-driven computing tools for optimizing care delivery. Her work is being... Read More.

9:30am Wednesday, June 28, 2017
Keynote by Suchi Saria Full Details
Richard Socher

Richard Socher
Chief Data Scientist, Salesforce

Richard Socher is chief scientist at Salesforce, where he leads the company’s research efforts and works on bringing state-of-the-art artificial intelligence solutions to Salesforce. Previously, Richard was the CEO and founder of MetaMind (acquired by Salesforce in April 2016).... Read More.

9:05am Wednesday, June 28, 2017
AI presents a huge opportunity for businesses to personalize and improve customer experiences and improve efficiency, but the technical complexity of AI puts it out of reach for most companies. Richard Socher explains how Salesforce is doing the heavy lifting to deliver seamless and scalable AI to its customers. Full Details
Josh Tenenbaum

Josh Tenenbaum
Professor, MIT

10:10am Wednesday, June 28, 2017
Josh Tenenbaum explains how to build machines that learn and think like people. Full Details
Amy Unruh

Amy Unruh
Staff Developer Relations Engineer, Google

Amy Unruh is a developer programs engineer for the Google Cloud Platform, where she focuses on machine learning and data analytics, as well as other Cloud Platform technologies. Amy has an academic background in CS/AI, and she’s worked at... Read More.

9:40am Thursday, June 29, 2017
Amy Unruh offers a quick overview of machine learning on Google Cloud Platform and demonstrates a couple of the Google Cloud ML APIs. She then briefly highlights a few OSS TensorFlow models and explains how to use transfer learning to fine-tune them with your own data. Full Details