September 26-27, 2016
New York, NY

O'Reilly AI Conference 2016 Keynotes

Genevieve Bell

Genevieve Bell
Intel Fellow, Director of Interaction and Experience Research, Intel Corporation

Genevieve Bell is an Australian-born anthropologist and researcher. With a father who was an engineer and a mother who was an anthropologist, perhaps Genevieve was fated to ultimately work for a technology company. As director of user interaction and experience... Read More.

9:45am Monday, 09/26/2016
Genevieve Bell explores the meaning of “intelligence” within the context of machines and its cultural impact on humans and their relationships. Genevieve interrogates AI not just as a technical agenda but as a cultural category in order to understand the ways in which the story of AI is connected to the history of human culture. Full Details
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.

10:25am Monday, 09/26/2016
Program chairs Ben Lorica and Roger Chen close the first day of keynotes. Full Details
10:30am Tuesday, 09/27/2016
Program chairs Ben Lorica and Roger Chen offer closing remarks on the last day of keynotes. Full Details
9:00am Monday, 09/26/2016
Program chairs Ben Lorica and Roger Chen open the first day of keynotes. Full Details
9:00am Tuesday, 09/27/2016
Program chairs Ben Lorica and Roger Chen open the second day of keynotes. Full Details
Lili Cheng

Lili Cheng
Corporate Vice President and Distinguished Engineer, AI and Research Division, Microsoft

Lili Cheng is a corporate vice president of Microsoft’s AI and Research Division, where she is responsible for the AI developer platform, which includes Cognitive Services, a collection of powerful cognitive AI APIs for vision, speech, language understanding,... Read More.

Aparna Chennapragada

Aparna Chennapragada
Director of Product Management, Google

Aparna Chennapragada is a director of product management at Google and is currently the technical assistant (TA) to the CEO. She most recently led Google Now, a personalized digital assistant that proactively helps you through the day. Having led... Read More.

9:45am Tuesday, 09/27/2016
Aparna Chennapragada explores building data products at Google. Full Details
Rana el Kaliouby

Rana el Kaliouby
Cofounder and Chief Executive Officer, Affectiva

Rana el Kaliouby is cofounder and CEO of Affectiva—a pioneer in emotion AI, the next frontier of artificial intelligence—where she leads the company’s award-winning emotion recognition technology, built on a science platform that uses deep learning and the world’s... Read More.

10:15am Tuesday, 09/27/2016
Highly connected, interactive artificial intelligence systems surround us daily, but as smart as these systems are, they lack the ability to truly empathize with us humans. Rana El Kaliouby explores why emotion AI is critical to accelerating adoption of AI systems, how emotion AI is being used today, and what the future will look like. Full Details
Shahin Farshchi

Shahin Farshchi
Principal, Lux Capital

Shahin Farshchi is a principal at Lux Capital, where he empowers entrepreneurs aiming to accelerate humanity toward a fantastic future through feats of engineering. Shahin’s recent investments include deep learning company Nervana, recently acquired by Intel; Planet Labs, which is... Read More.

10:10am Monday, 09/26/2016
Keynote by Shahin Farshchi Full Details
Yann LeCun

Yann LeCun
Director of AI Research, Facebook

Yann LeCun is director of AI research at Facebook and Silver Professor at New York University, affiliated with the Courant Institute of Mathematical Sciences, the Center for Neural Science, and the Center for Data Science, for which he served as... Read More.

9:05am Tuesday, 09/27/2016
The essence of intelligence is the ability to predict. Prediction, perception, planning/reasoning, attention, and memory are the pillars of intelligence. Yann LeCun describes several projects at FAIR and NYU on unsupervised learning, question answering with a new type of memory-augmented network, and various applications for vision and natural language understanding. Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly Media

Ben Lorica is the chief data scientist at O’Reilly Media. 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... Read More.

10:25am Monday, 09/26/2016
Program chairs Ben Lorica and Roger Chen close the first day of keynotes. Full Details
10:30am Tuesday, 09/27/2016
Program chairs Ben Lorica and Roger Chen offer closing remarks on the last day of keynotes. Full Details
9:00am Monday, 09/26/2016
Program chairs Ben Lorica and Roger Chen open the first day of keynotes. Full Details
9:00am Tuesday, 09/27/2016
Program chairs Ben Lorica and Roger Chen open the second day of keynotes. Full Details
Gary Marcus

Gary Marcus
CEO and Cofounder, Geometric Intelligence

A scientist, best-selling author, and entrepreneur, Gary Marcus is currently professor of psychology and neural science at NYU and CEO and cofounder of the recently formed Geometric Intelligence, Inc. Gary’s efforts to update the Turing test have spurred... Read More.

9:20am Tuesday, 09/27/2016
Keynote by Gary Marcus 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.

9:35am Tuesday, 09/27/2016
We are entering a new computing paradigm—an era where software will write software. This is the biggest and fastest transition since the advent of the Internet. Big data and analytics brought us information and insight; AI and deep learning turn that insight into superhuman knowledge and real-time action. Jim McHugh shares real-world examples of companies solving problems once thought unsolvable. 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.

9:05am Monday, 09/26/2016
Building reliable, robust software is hard. It is even harder when we move from deterministic domains (such as balancing a checkbook) to uncertain domains (such as recognizing speech or objects in an image). The field of machine learning allows us to use data to build systems in these uncertain domains. Peter Norvig looks at techniques for achieving reliability (and some of the other -ilities). Full Details
Tim O'Reilly

Tim O'Reilly
Founder and CEO, O'Reilly Media

Tim O’Reilly is the founder and CEO of O’Reilly Media, Inc. His original business plan was simply “interesting work for interesting people,” and that’s worked out pretty well. O’Reilly Media delivers online learning, publishes books, runs conferences, urges companies... Read More.

9:30am Monday, 09/26/2016
There are many who fear that in the future, AI will do more and more of the jobs done by humans, leaving us without meaningful work. To believe this is a colossal failure of the imagination. Tim O'Reilly explains why we can't just use technology to replace people; we must use it to augment them so that they can do things that were previously impossible. Full Details
Naveen Rao

Naveen Rao
VP and GM, Artificial Intelligence Solutions, Intel

Naveen Rao is the vice president and general manager of artificial intelligence solutions at Intel. Naveen’s fascination with computation in synthetic and neural systems began around age 9 when he began learning about circuits that store information and encountered the... Read More.

10:00am Tuesday, 09/27/2016
Deep learning has made a major impact in the last three years. Imperfect interactions with machines, such as speech or image processing, have been made robust by deep learning that finds usable structure in large datasets. Naveen Rao outlines deep learning challenges and explores how changes to the organization of computation and communication can lead to advances in capabilities. Full Details