Published December 20,2024
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Chinese researchers have developed a laser-based synthetic neuron that mimics the capabilities of organic neurons and processes knowledge one billion instances quicker than pure counterparts. This breakthrough may revolutionize synthetic intelligence and superior computing applied sciences. Chaoran Huang, chief of the analysis workforce on the Chinese University of Hong Kong, acknowledged, “Our laser neuron has the potential to work faster by overcoming the speed limitations of existing photonic neurons.”
The expertise goals to make synthetic intelligence decision-making processes each quicker and extra environment friendly.
DIFFERENCES BETWEEN BIOLOGICAL AND ARTIFICIAL NEURONS
Biological neurons are divided into two primary varieties: graded and spiking. Graded neurons course of indicators in a exact and repeatedly altering method, whereas spiking neurons both totally transmit or don’t transmit indicators. The newly developed laser-based neuron simulates the operation of graded neurons, providing superior pace and accuracy.
MILLIONS OF OPERATIONS PER SECOND
Developed with chip-based quantum laser expertise, the laser neuron can course of indicators at a charge of 10 gigabits per second. This permits it to course of 100 million heartbeats or 34.7 million digital handwritten photographs in only one second.
Researchers consider this pace will allow extra environment friendly use in synthetic intelligence purposes.
APPLICATIONS IN ARTIFICIAL INTELLIGENCE
Laser-based neurons supply quick and environment friendly computing whereas decreasing vitality consumption. The analysis workforce created a reservoir computing system with their laser neurons, which detected coronary heart arrhythmias with 98.4% accuracy and excelled in duties like picture classification as a result of its high-speed knowledge processing functionality.
Chaoran Huang mentioned, “A single laser-based neuron can behave like a small neural network. By combining multiple laser neurons, we can create a network similar to the one in the biological brain, composed of billions of neurons, in the field of artificial intelligence.”
The researchers intention to additional enhance the pace of laser-based neurons and develop deep reservoir computing architectures by combining a number of laser neurons. This expertise is predicted to revolutionize synthetic intelligence purposes, particularly these requiring real-time decision-making and vitality effectivity.
Source: www.anews.com.tr