Ultrafast neuromorphic photonic image processing with a VCSEL neuron
Robertson, Joshua and Kirkland, Paul and Alanis, Juan Arturo and Hejda, Matěj and Bueno, Julián and Di Caterina, Gaetano and Hurtado, Antonio (2022) Ultrafast neuromorphic photonic image processing with a VCSEL neuron. Scientific Reports, 12. 4874. ISSN 2045-2322 (https://doi.org/10.1038/s41598-022-08703-1)
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Abstract
The ever-increasing demand for artificial intelligence (AI) systems is underlining a significant requirement for new, AI-optimised hardware. Neuromorphic (brain-like) processors are one highly-promising solution, with photonic-enabled realizations receiving increasing attention. Among these, approaches based upon vertical cavity surface emitting lasers (VCSELs) are attracting interest given their favourable attributes and mature technology. Here, we demonstrate a hardware-friendly neuromorphic photonic spike processor, using a single VCSEL, for all-optical image edge-feature detection. This exploits the ability of a VCSEL-based photonic neuron to integrate temporally-encoded pixel data at high speed; and fire fast (100 ps-long) optical spikes upon detecting desired image features. Furthermore, the photonic system is combined with a software-implemented spiking neural network yielding a full platform for complex image classification tasks. This work therefore highlights the potential of VCSEL-based platforms for novel, ultrafast, all-optical neuromorphic processors interfacing with current computation and communication systems for use in future light-enabled AI and computer vision functionalities.
ORCID iDs
Robertson, Joshua, Kirkland, Paul ORCID: https://orcid.org/0000-0001-5905-6816, Alanis, Juan Arturo, Hejda, Matěj ORCID: https://orcid.org/0000-0003-4493-9426, Bueno, Julián, Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897 and Hurtado, Antonio ORCID: https://orcid.org/0000-0002-4448-9034;-
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Item type: Article ID code: 79907 Dates: DateEvent22 March 2022Published11 January 2022Accepted19 October 2021SubmittedSubjects: Science > Physics Department: Faculty of Science > Physics
Faculty of Science > Physics > Institute of Photonics
Faculty of Engineering > Electronic and Electrical EngineeringDepositing user: Pure Administrator Date deposited: 17 Mar 2022 21:00 Last modified: 14 Nov 2024 05:04 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/79907