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Scientists have developed a new variety of optical maser - base stilted neuron that mime a biological nerve cell . This artificial neuron could boost high - speed computing andartificial intelligence(AI ) , researchers say .
Artificial neuron mimic nerve jail cell by set off once they hit a sure information threshold . When a biological neuron takes in enough of the right character of entropy , it bring forth an electric pulse to communicate with nearby neurons . likewise , unreal neurons litigate and channel computational info only once they take in a certain amount of relevant electronic datum .
Scientists have developed an ultrafast artificial neuron that could support high-speed computing and artificial intelligence tasks like pattern recognition.
Existing contrived neurons , which are known as photonic spiking neurons , mimic biological spiking nerve cell by responding to these input sign with all - or - nothing , on - and - off spikes . But the way in which the neuron find those input signals means that , for a light time after each spindle , they can not respond to young input . This abbreviated reset period puts a speed limit on computations performed with artificial spike out neurons .
But the new artificial neurons channelize information via " graded " signal with varying vividness . In the new field , release Dec. 19 , 2024 in the journalOptica , investigator used a grade neuron organization to surpass spiking neurons ' speed boundary . Much like a biological graded or " non - spiking " neuron , the optical maser - base system generated increasingly strong yield signal in response to consecutive stimulus , so it did n’t need the same reset period as the spike neurons . As a final result , the new artificial neuron transmitted information up to 100,000 times faster than artificial spike neurons .
The researchers incorporated the order neuron into a reservoir computing organization — a type of artificialneural networkwhich process time - dependent data . They used this organisation to scan 700 heartbeat sample for cardiac arrhythmia . The source process these heartbeats at a speed of 100 million heartbeats per secondly — much faster that spiking nervous networks can . The young system find arrhythmical normal with more than 98 % accuracy . In a separate experiment , the system analyzed and classified handwritten number at a charge per unit of nearly 35 million digits per instant with 92 % accuracy .
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" With powerful memory essence and excellent information processing capabilities , a individual laser rank neuron can behave like a small-scale neuronal internet , " study co - authorChaoran Huang , an technologist at the Chinese University of Hong Kong , enjoin in astatement . " Therefore , even a single laser graded neuron without extra complex connection can perform political machine learning tasks with high performance . "
connect multiple graded neuron could offer even greater computation power . " In this work , we used a individual optical maser graded neuron , but we trust that cascade multiple laser graded neurons will further unlock their potentiality , just as the brain has billions of neurons working together in networks , " Huang said .
" Our technology could accelerate AI decision - making in prison term - critical app while asseverate high accuracy , " Huang tote up . " We hope the integration of our technology into edge computing devices — which serve information near its rootage — will help faster and smarter AI system that better serve real - world applications with subjugate vigor consumption in the future . "
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