PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator

no code implementations • 10 Nov 2022 • Shurui Li, Hangbo Yang, Chee Wei Wong, Volker J. Sorger, Puneet Gupta

The last few years have seen a lot of work to address the challenge of low-latency and high-throughput convolutional neural network inference.

Parametrically driven inertial sensing in chip-scale optomechanical cavities at the thermodynamical limits with extended dynamic range

no code implementations • 31 Oct 2022 • Jaime Gonzalo Flor Flores, Talha Yerebakan, Wenting Wang, Mingbin Yu, Dim-Lee Kwong, Andrey Matsko, Chee Wei Wong

We demonstrate theoretical and physical agreement and characterize the most relevant performance parameters with a device with 1. 5mg/Hz acceleration sensitivity, a 2. 5 fm/Hz1/2 displacement resolution corresponding to a 17. 02 ug/Hz1/2 force-equivalent acceleration, and a 5. 91 Hz/nW power sensitivity, at the thermodynamical limits.

Autonomous Driving

AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets

no code implementations • 30 Oct 2022 • Jaime Gonzalo Flor Flores, Connor Nasseraddin, Jim Solomon, Talha Yerebakan, Andrey B. Matsko, Chee Wei Wong

Recent advances in silicon photonics promise to revolutionize modern technology by improving performance of everyday devices in multiple fields.

Time Series Time Series Analysis