Computational propaganda
Sean Gourley considers the repercussions of AI-generated content that blurs the line between what's real and what's fake.
All Articles
Artificial intelligence: The “refinery” for data
Nick Curcuru explains how Mastercard is using AI to improve security without sacrificing the customer experience.
Decoding the human genome with deep learning
How can machine learning decode the mysteries of life? Olga Troyanskaya explores this and other big questions through the prism of deep learning.
Applied machine learning at Facebook
Kim Hazelwood discusses the hardware and software Facebook has designed to meet its scale needs.
Making real-world distributed deep learning easy with Nauta
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.
Automation of AI: Accelerating the AI revolution
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.
Four short links: 18 April 2019
Geospatial Feature Engineering, 3D Reconstruction, Fast NLP, and Learning the Zork Interpreter Language
Highlights from the O’Reilly Artificial Intelligence Conference in New York 2019
Watch highlights from expert talks covering AI, machine learning, deep learning, ethics, and more.
Data fueling AI of the future
Thomas Henson considers how AI will shape the experiences of future generations.
Toward ethical AI: Inclusivity as a messy, difficult, but promising answer
Kurt Muehmel explores AI within a broader discussion of the ethics of technology, arguing that inclusivity and collaboration are necessary.
Automated ML: A journey from CRISPR.ML to Azure ML
Danielle Dean explains how cloud, data, and AI came together to help build Automated ML.
Fast, flexible, and functional: 4 real-world AI deployments at enterprise scale
Gadi Singer discusses the major questions organizations confront as they integrate deep learning.
Machine learning for personalization
Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers.
Checking in on AI tools
Ben Lorica and Roger Chen assess the state of AI technologies and adoption in 2019.
Is AI human-ready?
Aleksander Madry discusses roadblocks preventing AI from having a broad impact and approaches for addressing these issues.
AI and the robotics revolution
Martial Hebert offers an overview of challenges in AI for robotics and a glimpse at the exciting developments emerging from current research.
How AI adaptive technology can upgrade education
Joleen Liang explains how AI and precise knowledge points can help students learn.
Four short links: 17 April 2019
Infocom Source, Twitter Design, New Ways of Seeing, and Software Blowouts