2 citations · 4 across the 3 of their papers we have counts for
7 papers
A Design Methodology for Post-Moore's Law Accelerators: The Case of a Photonic Neuromorphic Processor
Armin Mehrabian, Volker J. Sorger, Tarek El-Ghazawi
Over the past decade alternative technologies have gained momentum as conventional digital electronics continue to approach their limitations, due to the end of Moore's Law and Den…
Artificial Synapse with Mnemonic Functionality using GSST-based Photonic Integrated Memory
Mario Miscuglio, Jiawei Meng, Omer Yesiliurt +6
Machine-learning tasks performed by neural networks demonstrated useful capabilities for producing reliable, and repeatable intelligent decisions. Integrated photonics, leveraging…
A Winograd-based Integrated Photonics Accelerator for Convolutional Neural Networks
Armin Mehrabian, Mario Miscuglio, Yousra Alkabani +2
Neural Networks (NNs) have become the mainstream technology in the artificial intelligence (AI) renaissance over the past decade. Among different types of neural networks, convolut…
All-optical Nonlinear Activation Function for Photonic Neural Networks
Mario Miscuglio, Armin Mehrabian, Zibo Hu +5
With the recent successes of neural networks (NN) to perform machine-learning tasks, photonic-based NN designs may enable high throughput and low power neuromorphic compute paradig…
Neuromorphic photonics with electro-absorption modulators
Jonathan George, Armin Mehrabian, Rubab Amin +7
Photonic neural networks benefit from both the high channel capacity- and the wave nature of light acting as an effective weighting mechanism through linear optics. The neuron's ac…
PCNNA: A Photonic Convolutional Neural Network Accelerator
Armin Mehrabian, Yousra Al-Kabani, Volker J Sorger +1
Convolutional Neural Networks (CNN) have been the centerpiece of many applications including but not limited to computer vision, speech processing, and Natural Language Processing…