Presentation + Paper
2 September 2021 Subwavelength neuromorphic nanophotonic integrated circuits for spike-based computing: challenges and prospects
Author Affiliations +
Abstract
Event-activated biological-inspired subwavelength (sub-λ) optical neural networks are of paramount importance for energy-efficient and high-bandwidth artificial intelligence (AI) systems. Despite the significant advances to build active optical artificial neurons using for example phase-change materials, lasers, photodetectors, and modulators, miniaturized integrated sources and detectors suited for few-photon spike-based operation and of interest for neuromorphic optical computing are still lacking. In this invited paper we outline the main challenges, opportunities, and recent results towards the development of interconnected neuromorphic nanoscale light-emitting diodes (nanoLEDs) as key-enabling artificial spiking neuron circuits in photonic neural networks. This method of spike generation in neuromorphic nanoLEDs paves the way for sub-λ incoherent neural circuits for fast and efficient asynchronous brain-inspired computation.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Romeira, J. B. Nieder, B. Jacob, R. M. R. Adão, F. Camarneiro, J. Arturo Alanis, M. Hejda, A. Hurtado, J. Lourenço, D. Castro Alves, J. M. L. Figueiredo, I. Ortega-Piwonka, and J. Javaloyes "Subwavelength neuromorphic nanophotonic integrated circuits for spike-based computing: challenges and prospects", Proc. SPIE 11804, Emerging Topics in Artificial Intelligence (ETAI) 2021, 118040D (2 September 2021); https://doi.org/10.1117/12.2591852
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KEYWORDS
Neural networks

Neurons

Nanophotonics

Light emitting diodes

Photonics

Artificial intelligence

Waveguides

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