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Reading a neural network’s mind

A new analytic technique sheds light on inner workings of neural networks trained to perform natural-language-processing tasks, and even suggests possibilities for improving the performance of machine-translation systems.

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Artificial intelligence finds 56 new gravitational lens candidates

A group of astronomers from the universities of Groningen, Naples and Bonn has developed a method that finds gravitational lenses in enormous piles of observations. The method is based on the same artificial intelligence algorithm that Google, Facebook and Tesla have been using in the last years. The researchers published their method and 56 new gravitational lens candidates in the November issue of Monthly Notices of the Royal Astronomical Society.

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New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine

A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.

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The Neural Network Zoo – The Asimov Institute

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely …