Bots in society
Lili Cheng provides insights into the planning and release of Microsoft's bot, Tay.
Artificial Intelligence
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
An overview of the bot landscape
Are bots your new best friend?
Lessons learned from building bots
Andy Mauro discusses pitfalls, opportunities, and the future of conversational bot interactions.
Compressing and regularizing deep neural networks
Improving prediction accuracy using deep compression and DSD training.
Complex neural networks made easy by Chainer
A define-by-run approach allows for flexibility and simplicity when building deep learning networks.
Hilary Mason on the impact of AI technologies
It's the ensemble of technologies that will make the impossible possible.
The current state of machine intelligence 3.0
Watching the appeal and applications of machine intelligence expand.
TensorFlow for mobile poets
Running your image classifier in your own iOS application.
How to build an autonomous, voice-controlled, face-recognizing drone for $200
More adventures in deep learning and cheap hardware.
TensorFlow on Android
Take deep learning mobile.
Thor’s hammer
Jim McHugh shares real-world examples of companies solving problems once thought unsolvable.
O’Reilly AI Conference in New York 2016 livestream
Watch keynotes from the O'Reilly artificial intelligence conference in New York City.
How to build a robot that “sees” with $100 and TensorFlow
Adventures in deep learning, cheap hardware, and object recognition.
Infographic: The bot platform ecosystem
A look at the artificial intelligence and messaging platforms behind the fast-growing chatbot community
Innovation from China: What it means for machine intelligence and AI
Christopher Nguyen explores where advances in machine learning and AI will take us over the next 50 years.
Age of intelligence
Qi Lu explores data-model intelligence, the Bing Knowledge Graph, the Microsoft Graph, and Cortana SDKs.
AI and medicine
In this O’Reilly report, you’ll explore the potential of—and impediments to—widespread adoption of AI in the medical field.
Dive into TensorFlow with Linux
Building a fast, accurate image classifier on the cheap.
Sequence-to-sequence machine learning
Training deep learning models to code solutions: An interview with Oriol Vinyals.
Bot thots
The world of conversational interfaces is very young. Here are some early questions that it’s working out.
The autonomous car as a driving partner
Computational approaches for creating machines at scale: An interview with Daniela Rus.
Hello, TensorFlow!
Building and training your first TensorFlow graph from the ground up.
The future of (artificial) intelligence
Stuart Russell argues for a fundamental reorientation of the field artificial intelligence.
Three tips for getting started with NLU
Natural language understanding: What it is and where to begin.