1.7k citations · 1.7k across the 4 of their papers we have counts for
11 papers
Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg, Joe Lou, Anirudh Jain +1
Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision. In this w…
A Laser Spiking Neuron in a Photonic Integrated Circuit
Mitchell A. Nahmias, Hsuan-Tung Peng, Thomas Ferreira de Lima +4
There has been a recent surge of interest in the implementation of linear operations such as matrix multipications using photonic integrated circuit technology. However, these appr…
Photonics for artificial intelligence and neuromorphic computing
Bhavin J. Shastri, Alexander N. Tait, Thomas Ferreira de Lima +4
Research in photonic computing has flourished due to the proliferation of optoelectronic components on photonic integration platforms. Photonic integrated circuits have enabled ult…
Programmable Silicon Photonic Optical Thresholder
Chaoran Huang, Thomas Ferreira de Lima, Aashu Jha +4
We experimentally demonstrate an all-optical programmable thresholder on a silicon photonic circuit. By exploiting the nonlinearities in a resonator-enhanced Mach-Zehnder interfero…
Noise Analysis of Photonic Modulator Neurons
Thomas Ferreira de Lima, Alexander N. Tait, Hooman Saeidi +5
Neuromorphic photonics relies on efficiently emulating analog neural networks at high speeds. Prior work showed that transducing signals from the optical to the electrical domain a…
Takens-inspired neuromorphic processor: a downsizing tool for random recurrent neural networks via feature extraction
Bicky A. Marquez, Jose Suarez-Vargas, Bhavin J. Shastri
We describe a new technique which minimizes the amount of neurons in the hidden layer of a random recurrent neural network (rRNN) for time series prediction. Merging Takens-based a…