Ruchir Puri discusses the next revolution in automating AI, which strives to deploy AI to automate the task of building, deploying, and managing AI tasks.
Carlos Humberto Morales offers an overview of Nauta, an open source multiuser platform that lets data scientists run complex deep learning models on shared hardware.
Rajendra Prasad explains how leaders in large enterprises can make AI adoption successful.
Kim Hazelwood discusses the hardware and software Facebook has designed to meet its scale needs.
Nick Curcuru explains how Mastercard is using AI to improve security without sacrificing the customer experience.
Sean Gourley considers the repercussions of AI-generated content that blurs the line between what's real and what's fake.
Christopher Ré discusses Snorkel, a system for fast training data creation.
How can machine learning decode the mysteries of life? Olga Troyanskaya explores this and other big questions through the prism of deep learning.
Kurt Muehmel explores AI within a broader discussion of the ethics of technology, arguing that inclusivity and collaboration are necessary.
Joleen Liang explains how AI and precise knowledge points can help students learn.
Ben Lorica and Roger Chen assess the state of AI technologies and adoption in 2019.
Aleksander Madry discusses roadblocks preventing AI from having a broad impact and approaches for addressing these issues.
Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more.
Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers.
Thomas Henson considers how AI will shape the experiences of future generations.
Danielle Dean explains how cloud, data, and AI came together to help build Automated ML.
Gadi Singer discusses the major questions organizations confront as they integrate deep learning.
Martial Hebert offers an overview of challenges in AI for robotics and a glimpse at the exciting developments emerging from current research.
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data.
Watch highlights from expert talks covering AI, machine learning, data analytics, and more.