High Throughput Multi-Channel Parallelized Diffraction Convolutional Neural Network Accelerator

no code implementations • 23 Dec 2021 • Zibo Hu, Shurui Li, Russell L. T. Schwartz, Maria Solyanik-Gorgone, Mario Miscuglio, Puneet Gupta, Volker J. Sorger

Convolutional neural networks are paramount in image and signal processing including the relevant classification and training tasks alike and constitute for the majority of machine learning compute demand today.

Decision Making Vocal Bursts Intensity Prediction

All-Chalcogenide Programmable All-Optical Deep Neural Networks

no code implementations • 20 Feb 2021 • Ting Y, Xiaoxuan M, Ernest Pastor, Jonathan K. George, Simon Wall, Mario Miscuglio, Robert E. Simpson, Volker J. Sorger

Deeplearning algorithms are revolutionising many aspects of modern life.

Autonomous Vehicles Decision Making Optics Emerging Technologies

Photonic tensor cores for machine learning

no code implementations • 1 Feb 2020 • Mario Miscuglio, Volker J. Sorger

With an ongoing trend in computing hardware towards increased heterogeneity, domain-specific co-processors are emerging as alternatives to centralized paradigms.

BIG-bench Machine Learning

A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks

no code implementations • 25 Jun 2019 • Armin Mehrabian, Mario Miscuglio, Yousra Alkabani, Volker J. Sorger, Tarek El-Ghazawi

Among different types of neural networks, convolutional neural networks (CNNs) have been widely adopted as they have achieved leading results in many fields such as computer vision and speech recognition.

speech-recognition Speech Recognition