There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer interaction and learning or entertainment.

Belden Inc., a global leader in signal transmission solutions for mission-critical applications, has added new Lumberg Input/Output Network-Ruggedized (LioN-R) modules to its Lumberg Automation ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical problems such as predicting the result of a football game or the movement of a ...

This is part of a series of IOMachine runthroughs, explained below. GWPH still has considerable upside. A number of catalysts are due in the next few months. The Input-Output Machine, or IOMachine, is ...

From self-driving cars to facial recognition, modern life is growing more dependent on machine learning, a type of artificial intelligence (AI) that learns from datasets without explicit programming.

Machines that can think for themselves - and perhaps turn on their creators as a result - have long been a fascination of science fiction. And creating robots that can learn without any input from ...