Summary: What comes next after Deep Learning? How do we get to Artificial General Intelligence? Adversarial Machine Learning is an emerging space that points to tha...
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 mont...
Update Sep. 2016: A model with less than a third of the error can be found here. KIC 8462852 is a star that has been getting a fair amount of attention. It occasionally�...
Originally posted onData Science Central Summary: This is the first in a series of articles aimed at providing a complete foundation and broad understanding of the techni...
This articles was written by Andrej Karpathy. Andrej, PhD student at Stanford, is a Research Scientist at OpenAI working on Deep Learning, Generative Models and Rei...
This article was written by Joseph Rickert. We all “know” that correlation does not imply causation, that unmeasured and unknown factors can confound a seem...
This article was written by Fjodor Van Veen. With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all th...
Summary: Are there large, sustainable career opportunities in AI and if so where? Do they lie in the current technologies of Deep Learning and Reinforcement Learning ...
There are a lot of things that can happen in just one minute, just ask the distraught owner of the Shelby Mustang GT 500 who was on the list of cars targeted by Randall �...
This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing. Shopper marketing fo...