Hitless memory-reconfigurable photonic reservoir computing architecture

no code implementations • 13 Jul 2022 • Mohab Abdalla, Clément Zrounba, Raphael Cardoso, Paul Jimenez, Guanghui Ren, Andreas Boes, Arnan Mitchell, Alberto Bosio, Ian O'Connor, Fabio Pavanello

Reservoir computing is an analog bio-inspired computation model for efficiently processing time-dependent signals, the photonic implementations of which promise a combination of massive parallel information processing, low power consumption, and high speed operation.

11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

no code implementations • 14 Nov 2020 • Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, David J. Moss

Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network parametric complexity and enhance the predicting accuracy.

Board Games Medical Diagnosis +3