Brain-inspired nanophotonic spike computing: challenges and prospects

Nanophotonic spiking neural networks (SNNs) based on neuron-like excitable subwavelength (submicrometre) devices are of key importance for realizing brain-inspired, power-efficient artificial intelligence (AI) systems with high degree of parallelism and energy efficiency. Despite significant advance...

Full description

Bibliographic Details
Published in:Neuromorphic Computing and Engineering
Main Authors: Bruno Romeira, Ricardo Adão, Jana B Nieder, Qusay Al-Taai, Weikang Zhang, Robert H Hadfield, Edward Wasige, Matěj Hejda, Antonio Hurtado, Ekaterina Malysheva, Victor Dolores Calzadilla, João Lourenço, D Castro Alves, José M L Figueiredo, Ignacio Ortega-Piwonka, Julien Javaloyes, Stuart Edwards, J Iwan Davies, Folkert Horst, Bert J Offrein
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Subjects:
nanophotonics
resonant tunnelling diodes
nanoLEDs
nanolasers
neuromorphic computing
optical interconnects
Online Access:https://doi.org/10.1088/2634-4386/acdf17

Internet

https://doi.org/10.1088/2634-4386/acdf17

Similar Items