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World's fastest optical neuromorphic processor developed by scientist -- Science & Technology -- Sott.net

© Swinburne University of Technology
(L-R): Dr Bill Corcoran (Monash University), Professor Moss and Professor Mitchell, the research team that recorded the world s fastest internet speed from a single optical chip.
In summary
A Swinburne-led team has demonstrated the world s fastest and most powerful optical neuromorphic processor for artificial intelligence
The neuromorphic processor operates faster than 10 trillion operations per second and is capable of processing ultra-large scale data
This breakthrough has been published in the prestigious journal Nature and represents an enormous leap forward for neural networks and neuromorphic processing
An international team of researchers led by Swinburne University of Technology has demonstrated the world s fastest and most powerful optical neuromorphic processor for artificial intelligence (AI), which operates faster than 10 trillion operations per second (TeraOPs/s) and is capable of processing ultra-large s ....

David Moss , Jiayang Wu Swinburne , Xingyuan Mike Xu , David Moss Swinburne , Thachg Nguyen , Damien Hicks , Andrea Boes , Corcoran Monash , Damien Hicks Swinburne , Xingyuan Mike Xu Swinburne , Roberto Morandotti , Arnan Mitchell , Monash University , Swinburne Optical Sciences Centre , Computer Systems Engineering Department At Monash University , Elizabeth Hall Institute , Swinburne University Of Technology , Dr Bill Corcoran Monash University , Brent Little Xian Institute Of Optics , Fastest Chip Scientist , Swinburne University , Professor Moss , Professor Mitchell , Professor David Moss , Distinguished Professor Arnan Mitchell , Optical Sciences ,

Scientists exemplify world's fastest optical neuromorphic processor for AI

Scientists exemplify world s fastest optical neuromorphic processor for AI
ANI |
Updated: Jan 08, 2021 14:39 IST
Melbourne [Australia], January 8 (ANI): A Swinburne University of Technology led team has demonstrated the world s fastest and most powerful optical neuromorphic processor for artificial intelligence (AI) that can operate faster than 10 trillion operations per second and is capable of processing ultra-large-scale data.
The research published in the journal Nature represents an enormous leap forward for neural networks and neuromorphic processing in general.
Artificial neural networks, a key form of AI, can learn and perform complex operations with wide applications to computer vision, natural language processing, facial recognition, speech translation, playing strategy games, medical diagnosis, and many other areas. Inspired by the biological structure of the brain s visual cortex system, artificial neural networ ....

South Australia , David Moss , Xingyuan Mike Xu Swinburne , Arnan Mitchell , Damien Hicks , Monash University , Swinburne Optical Sciences Centre , Computer Systems Engineering Department At Monash University , Elizabeth Hall Institute , A Swinburne University Of Technology , Swinburne University , Professor David Moss , Distinguished Professor Arnan Mitchell , Professor Moss , Optical Sciences Centre , Computer Systems Engineering Department , Professor Damien Hicks , Elizabeth Hall , New Innovation , தெற்கு ஆஸ்திரேலியா , டேவிட் பாசி , அர்னான் மிட்செல் , டேமியன் ஹிக்ஸ் , மோனாஷ் பல்கலைக்கழகம் , ஸ்வின்பர்ன் ஒளியியல் அறிவியல் மையம் , கணினி அமைப்புகள் பொறியியல் துறை இல் மோனாஷ் பல்கலைக்கழகம் ,

Researchers unveil world's fastest optical neuromorphic processor

Researchers unveil world s fastest optical neuromorphic processor
Dr Xingyuan (Mike) Xu holds one of the optical micro-combs
Researchers led by Swinburne University of Technology have demonstrated the world s fastest and most powerful optical neuromorphic processor for artificial intelligence (AI).
The processor is able to operate at faster than 10 trillion operations per second (TeraOPs/s) and is capable of processing ultra-large scale data.
Details have been published in
Nature, and the breakthrough is seen as representing an enormous leap forward for neural networks and neuromorphic processing in general.
Artificial neural networks can learn and perform complex operations and are inspired by the biological structure of the brain s visual cortex system. Artificial neural networks extract key features of raw data to predict properties and behaviour with high levels of accuracy and simplicity. ....

David Moss , Xingyuan Mike Xu Swinburne , Arnan Mitchell , Monash University , Swinburne Optical Sciences Centre , Swinburne University Of Technology , Swinburne University , Professor David Moss , Distinguished Professor Arnan Mitchell , Professor Moss , Optical Sciences , Artificial Intelligence , Neural Networks , டேவிட் பாசி , அர்னான் மிட்செல் , மோனாஷ் பல்கலைக்கழகம் , ஸ்வின்பர்ன் ஒளியியல் அறிவியல் மையம் , ஸ்வின்பர்ன் பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் , ஸ்வின்பர்ன் பல்கலைக்கழகம் , ப்ரொஃபெஸர் டேவிட் பாசி , புகழ்பெற்ற ப்ரொஃபெஸர் அர்னான் மிட்செல் , ப்ரொஃபெஸர் பாசி , ஒளியியல் அறிவியல் , செயற்கை உளவுத்துறை , நரம்பியல் நெட்வொர்க்குகள் ,

Swinburne-led research team demonstrates world's fastest optical neuromorphic processor

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IMAGE: Dr Xingyuan (Mike) Xu holds one of the optical micro-combs used in achieving the world s fastest neuromorphic processor for artificial intelligence.
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Credit: Swinburne University of Technology
An international team of researchers led by Swinburne University of Technology has demonstrated the world s fastest and most powerful optical neuromorphic processor for artificial intelligence (AI), which operates faster than 10 trillion operations per second (TeraOPs/s) and is capable of processing ultra-large scale data.
Published in the prestigious journal
Nature, this breakthrough represents an enormous leap forward for neural networks and neuromorphic processing in general.
Artificial neural networks, a key form of AI, can learn and perform complex operations with wide applications to computer vision, natural language processing, facial recognition, speech translation, playing strategy games, medical diagnosis and many ....

David Moss , Jiayang Wu Swinburne , David Moss Swinburne , Thachg Nguyen , Damien Hicks , Andrea Boes , Corcoran Monash , Damien Hicks Swinburne , Xingyuan Mike Xu Swinburne , Roberto Morandotti , Arnan Mitchell , Philip George , Monash University , Swinburne Optical Sciences Centre , Computer Systems Engineering Department At Monash University , Elizabeth Hall Institute , Swinburne University Of Technology , Brent Little Xian Institute Of Optics , Swinburne University , Professor David Moss , Distinguished Professor Arnan Mitchell , Professor Moss , Optical Sciences Centre , Computer Systems Engineering Department , Professor Damien Hicks , Elizabeth Hall ,