Source prnewswire
Redefining the transistor: The ideal building block for artificial intelligence
The team led by Associate Professor Mario Lanza from the Department of Materials Science and Engineering in the College of Design and Engineering at the National University of Singapore has created a new computing cell that can mimic the behavior of both electronic neurons.Unlike traditional computers, these systems process and store data in the same place, eliminating the need to waste time and energy transferring data from memory to the processing unit.The team led by Professor Lanza has found a way to reproduce the electronic behaviours characteristic of neurons and synapses in a single conventional Silicon transistor.This discovery could represent a huge leap forward in computing systems capable of processing because it allows the size of electronic neurons to be reduced by a factor of 18 and that of synapses by a factor of 6.The transistors used by Professor Lanza's team to implement these advanced neurons and synapses are not cutting-edge transistors like those manufactured in Taiwan or Korea, but rather traditional 180-nanometer node transistors, which can be produced by Singapore-based companies.The author of the paper said that the race for supremacy in artificial intelligence has been a matter of brute force.Theancingsemiconductor-devices-for-artificial-intelligence is a news story.National University of Singapore.The National University of Singapore's Department of Physics has designed and synthesised a...These chronic and non-healing wounds can lead to amputations.Do not sell or share my information.
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