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 features of raw data to predict properties and behaviour with unprecedented accuracy and simplicity.
Led by Swinburne’s Professor David Moss, Dr. Xingyuan (Mike) Xu (Swinburne,…