Multimodal In-Sensor Computing System Using Integrated Silicon Photonic Convolutional Processor.

ABSTRACT: Photonic integrated circuits offer miniaturized solutions for multimodal spectroscopic sensory systems by leveraging the simultaneous interaction of light with temperature, chemicals, and biomolecules, among others. The multimodal spectroscopic sensory data is complex and has huge data volume with high redundancy, thus requiring high communication bandwidth associated with high communication power consumption to transfer the sensory data. To circumvent this high communication cost, the photonic sensor and processor are brought into intimacy and propose a photonic multimodal in-sensor computing system using an integrated silicon photonic convolutional processor. A microring resonator crossbar array is used as the photonic processor to implement convolutional operation with 5-bit accuracy, v

SUBMITTER: Xiao Z 

PROVIDER: S-EPMC11653661 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature