Deep Learning has had a huge impact on computer science, making it possible to explore new frontiers of research and to develop amazingly useful products that millions of people use every day. Our internal deep learning infrastructure DistBelief, developed in 2011, has allowed Googlers to build ever larger neural networks and scale training to thousands of cores in our datacenters. We’ve used it to demonstrate that concepts like “cat” can be learned from unlabeled YouTube images, to improve speech recognition in the Google app by 25%, and to build image search in Google Photos. DistBelief also trained the Inception model that won Imagenet’s Large Scale Visual Recognition Challenge in 2014, and drove our experiments in automated image captioning as well as DeepDream.

Neural Network is a fascinating technology, 50 years old, but still not fully employed. And the question is why? Why didn't Neural Network progress as fast as many other technologies?

An introduction to fuzzy control systems. It provides an overview of their theory of operation, followed by elementary examples of their use.

The Developmental Approach to Natural and Artificial Intelligence for integrated vision, audition, touch, language, reasoning, robotics and the brain-mind

Genetic programming (GP) is an automated method for creating a working computer program from a high-level problem statement of a problem. Genetic programming starts from a high-level statement of “what needs to be done” and automatically creates a computer program to solve the problem.

Links to artificial life and related pages the author has found.