Black box: How AI will amplify the best and worst of humanity
Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them.
AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Using machine learning to improve dialog flow in conversational applications
The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers.
Highlights from the Strata Data Conference in New York 2018
Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more.
Preserving privacy and security in machine learning
Ben Lorica offers an overview of recent tools for building privacy-preserving and secure machine learning products and services.
The ethics of data flow
If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows.
Machine learning in the cloud
Hagay Lupesko explores key trends in machine learning, the importance of designing models for scale, and the impact that machine learning innovation has had on startups and enterprises alike.
Accelerating AI on Xeon through SW optimization
Huma Abidi discusses the importance of optimization to deep learning frameworks.
AI and security: Lessons, challenges, and future directions
Dawn Song explains how AI and deep learning can enable better security and how security can enable better AI.
The breadth of AI applications: The ongoing expansion
Peter Norvig says one of the most exciting aspects of AI is the diversity of applications in fields far astray from the original breakthrough areas.
A new golden age for computer architecture
David Patterson explains why he expects an outpouring of co-designed ML-specific chips and supercomputers.
Beyond hype: AI in the real world
Julie Shin Choi reviews real-world customer use cases that take AI from theory to reality.
AI foundations: What shapes the AI that’s shaping our world?
Meredith Whittaker says the benefits of AI will only come if we have a clear-eyed perspective on its dark side.
OpenAI and the path toward safe AGI
Greg Brockman discusses OpenAI's recent advancements and their implications for how we should plan for creating safe artificial general intelligence (AGI).
China: AI superpower
Kai-Fu Lee outlines the factors that enabled China's rapid ascension in AI.
Fireside chat with Tim O’Reilly and Kai-Fu Lee
Tim O'Reilly and Kai-Fu Lee discuss differences in how China and the U.S. approach AI and why AI might give humanity larger purpose.
Highlights from the Artificial Intelligence Conference in San Francisco 2018
Watch highlights from expert talks covering artificial intelligence, machine learning, security, and more.
Unlocking innovation in AI
Ben Lorica and Roger Chen provide a glimpse into tools and trends poised to accelerate AI innovation.
Building accessible tools for large-scale computation and machine learning
The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning.
The next generation of AI assistants in enterprise
Chatbots are just the first step in the journey to achieve true AI assistants and autonomous organizations.
Simplifying machine learning lifecycle management
The O’Reilly Data Show Podcast: Harish Doddi on accelerating the path from prototype to production.
3 promising areas for AI skills development
O'Reilly survey results and usage data reveal growing trends and topics in artificial intelligence.
Why we need to think differently about AI
General intelligence or creativity can only be properly imagined if we peel away the layers of abstractions.
5 findings from O’Reilly’s machine learning adoption survey companies should know
New survey results highlight the ways organizations are handling machine learning's move to the mainstream.
How privacy-preserving techniques can lead to more robust machine learning models
The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning.