This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

WASHINGTON, Oct 15 (Reuters) - U.S. government officials said on Wednesday that federal networks are being targeted by an unidentified "nation-state cyber threat actor" that's trying to exploit ...

Cybersecurity professionals recognize that enterprise networks are prime targets for dark web risks such as ransomware, unauthorized insider activity, and data exfiltration. What’s less obvious is ...

NEW YORK (AP) — The U.S. Secret Service has found and is quietly dismantling a massive network of “SIM farms” across the New York area just as world leaders gather for meetings at the United Nations.

Doubling the transistor count every two years and therefore cutting the price of a transistor in half because you can cram twice as many on a given area transformed computing and drove it during the ...

Forward-looking: Traditional computer chips perform tasks by sending digital signals at regular clock speeds, but new experimental hardware uses microwaves for specialized workloads. The resulting ...

Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from the ...