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18 June 2024 Incoherent photonic neuromorphic computing
Frank Brückerhoff-Plückelmann, Wolfram Pernice
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Proceedings Volume PC13017, Machine Learning in Photonics; PC130170P (2024) https://doi.org/10.1117/12.3022075
Event: SPIE Photonics Europe, 2024, Strasbourg, France
Abstract
Neuromorphic computing is emerging as a promising solution to address the ever-growing demand for computational power driven by artificial neural networks. We present a photonic hardware accelerator, implemented on the Silicon on Insulator platform, based on an incoherent crossbar array. We outline the system architecture and showcase live convolution processing using the photonic hardware accelerator. Furthermore, we integrate phase-change material which serves as a non-linear building block for a reconfigurable photonic neural network. We train the neural network for language classification.
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Frank Brückerhoff-Plückelmann and Wolfram Pernice "Incoherent photonic neuromorphic computing", Proc. SPIE PC13017, Machine Learning in Photonics, PC130170P (18 June 2024); https://doi.org/10.1117/12.3022075
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KEYWORDS
Optical computing
Artificial neural networks
Computer hardware
Data processing
Parallel computing
Evolutionary algorithms
Interfaces
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