TIME SERIES PREDICTION AND CLASSIFICATION USING SILICON PHOTONIC RECURRENT NEURAL NETWORK

    公开(公告)号:US20230169339A1

    公开(公告)日:2023-06-01

    申请号:US18072626

    申请日:2022-11-30

    CPC classification number: G06N3/08 G06N3/044

    Abstract: A photonics-assisted platform for time series prediction and classification that performs signal processing directly after the signal acquisition before any analog-to-digital conversion by using a hardware neural network with recurrent connections, implemented in a silicon photonic chip. This neural network recurrency can be implemented in silicon photonics with a much lower latency than state-of-the-art electronic systems. The recurrent neural network can detect temporal correlations and extract features from the time series signal, and therefore reduce the latency constraints for the analog-to-digital conversion and further digital signal processing.

Patent Agency Ranking