Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

S andia National Labs are working on a way to put Artificial Intelligence to good use -- protecting our electric grid from ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling ...

Research from the University of Texas regarding neural networks suggests an exciting path for uniting deep learning and symbolic reasoning AI.

Driven by the wave of the "new four modernizations" in the automotive industry, traditional distributed electronic and ...

This neural net is setup as an autocorrect system that can take four character inputs and match them to a library of twelve words.

Faced with a navigational challenge, neural networks spontaneously evolved units resembling the brain cells that help living animals track their location.

Known as deep learning, this is what makes a network intelligent. What are artificial neural networks used for?

The neural net knows more than it says What is output by a neural network, such as an image classifier, is only a small portion of what the network in a sense "knows" about the data.

Deep Neural Networks are the more computationally powerful cousins to regular neural networks. Learn exactly what DNNs are and why they are the hottest topic in machine learning research.