The current state of machine intelligence 3.0
Watching the appeal and applications of machine intelligence expand.
The latest insights, ideas, and tools for building solutions that rely on machine intelligence.
Ideas
How to build an autonomous, voice-controlled, face-recognizing drone for $200
More adventures in deep learning and cheap hardware.
Compressing and regularizing deep neural networks
Improving prediction accuracy using deep compression and DSD training.
Hilary Mason on the impact of AI technologies
It's the ensemble of technologies that will make the impossible possible.
The hard thing about deep learning
Deeper neural nets often yield harder optimization problems.
The New Artificial Intelligence Market
Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now.
The ethics of artificial intelligence
A framework for thinking about AI.
Lessons learned from building bots
Andy Mauro discusses pitfalls, opportunities, and the future of conversational bot interactions.
Learning
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Complex neural networks made easy by Chainer
A define-by-run approach allows for flexibility and simplicity when building deep learning networks.
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TensorFlow for mobile poets
Running your image classifier in your own iOS application.
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Capturing semantic meanings using deep learning
Word embedding in natural language processing.
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Hello, TensorFlow!
Building and training your first TensorFlow graph from the ground up.
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TensorFlow for poets
How to build your own image classifier with no coding.
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A poet does TensorFlow
Pete Warden’s instructions on building a deep learning classifier looked so simple, I had to try it myself.
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(source: Brandon Morse via Flickr).