In the News
How A.I. can keep accelerating after Moore’s law
New ideas in chip design look likely to keep software getting smarter.
Customer service bots can detect your agitation
A virtual assistant that can tell you’re frustrated can slow down and help you out.
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Training AI bots to negotiate
Interesting work by Facebook AI Research. They have built a framework to train AI bots on human negotiations. The bots seem to be learning human-like negotiation strategies on their own.
Convolutional methods for text
What can NLP learn from the popularity of Convolutional Neural Networks commonly used in Computer Vision? Great run down of convolutional methods applied to NLP.
If your company isn’t good at analytics, it’s not ready for AI
Companies that rush into sophisticated artificial intelligence before reaching a critical mass of automated processes and structured analytics can end up paralyzed.
The machine intelligence behind Gboard
Neural spatial models and finite-state transducers power Google's "intelligent keyboard".
Software tools & code
Essential AI cheat sheets
For Keras, Numpy, Pandas, Scipy, Scikit-learn, Matplotlib and more
Extreme event forecasting at Uber with RNNs
At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber will receive at any given time.
Open-source models trained and designed to be lightweight and faster. They are less accurate than "standard" ResNet and Inception networks but a lot faster and lighter for on-device analysis.
LSTMs are a fairly simple extension to neural networks, and they're behind a lot of the amazing achievements deep learning has made in the past few years.
Human-level A.I. is right around the corner—or hundreds of years away
Ray Kurzweil, Rodney Brooks, and others weigh in on the future of artificial intelligence
Training Imagenet in 1 hour
While training Imagenet in 2012 took a couple of weeks with a GPU and lots of custom programming, Facebook claims to have trained Imagenet in just 1 hour recently, using 256 GPUs.
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