Deep learning is about to get easier by Ben Dickson via @VentureBeat

One problem with deep learning algorithms is that they require vast amounts of data. Fortunately, researchers have found workarounds that will level the playing field.

This is really interesting and anything that helps more people take advantage of AI has got to be a great thing (if it has been tested to make sure you can rely on the answers).

A Brief Introduction To GANs by/via @SarvasvKulpati

With explanations of the math and code

This is a great article with lots of links and examples so you can understand it. If you already have a Medium account please make sure you give him some applause for it and a follow.

Google’s Duelling Neural Networks Spar to Get Smarter, No Humans Required by Cade Metz via @WIRED

“What an AI cannot create, it does not understand.”

Very interesting and certainly added to my understanding of a few things.

6 areas of AI and Machine Learning to watch closely by @NathanBenaich via @kdnuggets

Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.

This is great and explains it in a new (to me) but very good way - well worth reading.