Year: 2024
Type: conference-paper
Abstract: Neuromorphic photonics can greatly benefit processing of optical signals transmitted through telecom links or produced by photonic sensors, by exploiting key advantages w.r.t. electronics such as highly parallel and energy efficient linear operations. We present a compact integrated photonic neural network, composed of 96 neurons (silicon microring resonators) within a 0.15 mm2footprint, for high-throughput optical processing concurrently in time, space and frequency domains. We experimentally test it on benchmark image classification tasks, namely MNIST and Fashion-MNIST..
Source: IEEE Photonics Conference
Institutions: University of Trento, Ghent University, IMEC
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4405633872