(PhysOrg.com) -- In the 1960s, Dr. Lawrence J. Fogel introduced what would come to be known as evolutionary programming to the nascent field of Artificial Intelligence in an attempt to produce intelligent software without ...
In what marks a significant step forward for artificial intelligence, researchers at UC Santa Barbara have demonstrated the functionality of a simple artificial neural circuit. For the first time, a circuit of about 100 artificial ...
Computer Sciences
May 11, 2015
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As computer scientists this year celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest ...
Computer Sciences
Apr 2, 2012
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When it comes to developing efficient, robust networks, the brain may often know best. Researchers from Carnegie Mellon University and the Salk Institute for Biological Studies have, for the first time, determined the rate ...
Computer Sciences
Jul 9, 2015
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For decades, neuroscientists have been trying to design computer networks that can mimic visual skills such as recognizing objects, which the human brain does very accurately and quickly.
Computer Sciences
Dec 18, 2014
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Past neuroscience research suggests that biological neural networks in the brain could self-organize into a critical state. In physics, a critical state is essentially a point that marks the transition between ordered and ...
New research published in the New Journal of Physics tries to decompose the structural layers of the cortical network to different hierarchies enabling to identify the network's nucleus, from which our consciousness could ...
General Physics
Aug 26, 2016
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(PhysOrg.com) -- Today at SC 09, the supercomputing conference, IBM announced significant progress toward creating a computer system that simulates and emulates the brain's abilities for sensation, perception, action, interaction ...
Computer Sciences
Nov 18, 2009
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New research in the UK on rhesus macaque monkeys has found for the first time that if they live in larger groups they develop more gray matter in parts of the brain involved in processing information on social interactions.
Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, ...
