Laserbasiertes künstliches Neuron ahmt Nervenzellfunktionen blitzschnell nach | Mit einer Verarbeitungsgeschwindigkeit, die eine Milliarde Mal schneller ist als die der Natur, könnten chipbasierte Laserneuronen dazu beitragen, KI-Aufgaben wie Mustererkennung und Sequenzvorhersage voranzutreiben

From the article: Researchers have developed a laser-based artificial neuron that fully emulates the functions, dynamics and information processing of a biological graded neuron. With a signal processing speed of 10 GBaud —a billion times faster than its biological counterparts — the new laser graded neuron could lead to breakthroughs in fields like artificial intelligence and other types of advanced computing.

The body contains various types of nerve cells, including graded neurons that encode information through continuous changes in membrane potential, allowing subtle and precise signal processing. In contrast, biological spiking neurons transmit information using all-or-none action potentials, creating a more binary form of communication.

“Our laser graded neuron overcomes the speed limitations of current photonic versions of spiking neurons and has the potential for even faster operation,” said [research team](https://opg.optica.org/optica/fulltext.cfm?uri=optica-11-12-1690&id=565919) leader Chaoran Huang from the Chinese University of Hong Kong. “By leveraging its neuron-like nonlinear dynamics and fast processing, we built a reservoir computing system that demonstrates exceptional performance in AI tasks such as pattern recognition and sequence prediction.”