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9 March 2022 Optical kernel computing: a photonic hardware accelerator for AI
Bahram Jalali, Tingyi Zhou, Fabien Scalzo
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Proceedings Volume PC12019, AI and Optical Data Sciences III; PC120190V (2022) https://doi.org/10.1117/12.2613829
Event: SPIE OPTO, 2022, San Francisco, California, United States
Abstract
We show that spectral mapping of data onto femtosecond optical pulses and a projection into an implicit, higher dimensional space using nonlinear optical transformation of data reduces the latency in data classification by several orders of magnitude. The approach is validated by the classification of various datasets, including brain intracranial pressure, cancer cell imaging, spoken digit recognition, and the classic Exclusive OR (XOR) benchmark for nonlinear classification. Single-shot operation is demonstrated using time stretch data acquisition. Due to the modest degrees of freedom in the optical domain, the classification accuracy is data-dependent.
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Bahram Jalali, Tingyi Zhou, and Fabien Scalzo "Optical kernel computing: a photonic hardware accelerator for AI", Proc. SPIE PC12019, AI and Optical Data Sciences III, PC120190V (9 March 2022); https://doi.org/10.1117/12.2613829
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KEYWORDS
Artificial intelligence
Optical computing
Brain mapping
Cancer
Data acquisition
Data processing
Femtosecond phenomena
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