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In what is a major leap forward in the field of artificial intelligence (AI), an international team of researchers led by Swinburne University of Technology has developed the world’s most powerful neuromorphic processor for AI. It operates at an astonishing rate of more than 10 trillion operations per second (TeraOps/s), meaning it can process ultra-large-scale data.
The work was published in the journal
Led by Swinburne’s Professor David Moss, Dr. Xingyuan Xu, and Distinguished Professor Arnan Mitchell from RMIT University, the team accelerated computing speed and processing power. They were able to create an optical neuromorphic processor capable of operating over 1,000 times faster than any previous ones. The system can also process ultra-large-scale images, which is important for facial recognition as previous optical processors have failed in this regard.
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 networks extract key fea
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.