Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.

Schedule: Interacting with AI sessions

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2:40pm3:20pm Wednesday, April 17, 2019
Location: Regent Parlor
Secondary topics:  Computer Vision, Deep Learning and Machine Learning tools
Matt Zeiler (Clarifai)
At the core of today's problems with image classification and deep learning lies one fundamental truth: most AI systems operate by choosing the path of least resistance – not the path of highest long-term quality. Matt Zeiler, founder and CEO of Clarifai, will discuss the company's approach to Closing the Loop on AI and employing techniques to counter the AI quality regression phenomenon. Read more.
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4:05pm4:45pm Wednesday, April 17, 2019
Location: Regent Parlor
Secondary topics:  Media, Marketing, Advertising, Models and Methods, Reinforcement Learning
Kevin He (DEEPMOTION, INC.)
Digital character interaction is hard to fake–whether it’s between two characters, between users and characters, or between a character and its environment. Nevertheless, interaction is central to building immersive XR experiences, robotic simulation, and user-driven entertainment. Kevin He will discuss using physical simulation and deep learning to create interactive character technology. Read more.
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4:55pm5:35pm Wednesday, April 17, 2019
Location: Regent Parlor
Secondary topics:  Deep Learning and Machine Learning tools, Reinforcement Learning
Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), Tim Nugent (lonely.coffee)
Learn how to use Unity to train, explore, and manipulate intelligent agents that learn. Train a quadruped to walk. Then train it to explore, fetch, and manipulate the world. Games are great places to explore AI. They’re wonderful contained problem spaces. Learn how to use them, even though you’re not a game developer. Read more.
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11:05am11:45am Thursday, April 18, 2019
Location: Rendezvous
Secondary topics:  Interfaces and UX
Following the launch of CTRL-labs’ developer kit, CTRL-kit (neural interface device), Patrick Kaifosh will paint a picture of a world with neural interfaces and how this technology will change our lives. This presentation will outline a future where we will be looking up at the world instead of down at our phones and will feature a live demo. Read more.
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1:00pm1:40pm Thursday, April 18, 2019
Location: Rendezvous
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Jeff Thompson (Stevens Institute of Technology)
What is it like to be a mobile phone or to attach a wind sensor to a neural network? This talk outlines several recent creative projects that push the tools of AI in new directions. Part technical discussion and part case study for embedding artists in technical institutions, this talk explores the ways that artists and scientists can collaborate to expand the ways that AI can be used. Read more.
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1:50pm2:30pm Thursday, April 18, 2019
Location: Regent Parlor
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Forough Poursabzi-Sangdeh (Microsoft Research NYC)
In this talk, I will argue that to understand interpretability, we need to bring humans in the loop and run human-subject experiments. I approach the problem of interpretability from an interdisciplinary perspective which builds on decades of research in psychology, cognitive science, and social science to understand human behavior and trust. Read more.
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2:40pm3:20pm Thursday, April 18, 2019
Location: Regent Parlor
Secondary topics:  Computer Vision, Health and Medicine, Models and Methods, Reliability and Safety
Behrooz Hashemian (Massachusetts General Hospital)
Artificial Intelligence has shown great potentials to revolutionize clinical medicine and health care delivery. However, incorporating these algorithms into clinical workflows faces a big challenge: convincing clinicians and regulators to trust a “black box” solution. In this talk, I present how we are making deep neural networks interpretable to provide evidences for clinical decisions. Read more.
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4:05pm4:45pm Thursday, April 18, 2019
Location: Mercury Rotunda
Secondary topics:  Computer Vision, Data and Data Networks, Models and Methods
Humayun Irshad (Figure Eight)
In this talk, an active learning framework with crowd sourcing approach is introduced to solve a real-world problem in transportation and autonomous driving discipline, parking sign recognition, for which a large amount of unlabeled data is available. It generates an accurate model in a cost-effective and fast way to solve the parking sign recognition problem in spite of the unevenness of the data Read more.
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4:55pm5:35pm Thursday, April 18, 2019
Location: Regent Parlor
Secondary topics:  AI case studies, Models and Methods
Andrew Caosun (Horace Mann School)
We propose a framework that unifies Hidden Markov Model and deep learn algorithm (RNN) with modeling components that consider long-term memory and semantics of music (LSTM and Convolution). It takes user original creation as input, modifies the raw scores, and generates musically appropriate melodies. Read more.