Highlights from the O’Reilly AI Conference in New York 2016
Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more. From the O'Reilly AI Conference in New York 2016.
Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more. From the O'Reilly AI Conference in New York 2016.
Experts from across the AI world came together in New York for the O’Reilly AI Conference in New York 2016. Below you’ll find links to highlights from the event.
Building reliable, robust software is hard, says Peter Norvig. It’s 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.
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.
Genevieve Bell explores the meaning of “intelligence” within the context of machines and its cultural impact on humans and their relationships.
Lili Cheng discusses the human aspects of artificial intelligence.
Shahin Farshchi examines the role artificial intelligence will play in driverless cars.
Yann LeCun says significant progress in AI will require breakthroughs in unsupervised/predictive learning, as well as in reasoning, attention, and episodic memory.
Gary Marcus discusses the machine-human connection.
Jim McHugh shares real-world examples of companies solving problems once thought unsolvable.
Aparna Chennapragada provides an overview of Google’s process for developing data products.
Naveen Rao outlines deep learning challenges and explores how changes to the organization of computation and communication can lead to advances in capabilities.
Rana El Kaliouby explores why emotion in AI is critical to accelerating adoption of AI systems.