Building tools for the AI applications of tomorrow
We’re currently laying the foundation for future generations of AI applications, but we aren’t there yet.
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
We’re currently laying the foundation for future generations of AI applications, but we aren’t there yet.
Solving the challenges of efficiency, automation, and safety will require cooperation between researchers and engineers spanning both academia and industry.
A few ways to think differently and integrate innovation and AI into your company's altruistic pursuits.
Our survey reveals how organizations are using tools, techniques, and training to apply AI through deep learning.
A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater.
The AI Conference in NY will feature tutorials, conference sessions, and executive briefings to help business leaders understand and plan for AI technologies.
Why we're taking the AI Conference to Beijing.
How CapsNets can overcome some shortcomings of CNNs, including requiring less training data, preserving image details, and handling ambiguity.
“We’re just at the beginning of an explosion of intelligent software.”
— Tim O'Reilly
Take this live online training with Amir Shevat from Slack.
A demonstration of basic reinforcement learning problems.
Step-by-step instruction on training your own neural network.
Adventures in deep learning, cheap hardware, and object recognition.
How to build a class of RL agents using a TensorFlow notebook.
Learn how Facebook and other trailblazers use AI technologies to recognize human features.