Nature

Modified spike backpropagation design towards highly parallelable hardware implementation

This work presents a hardware-algorithm co-designed framework for neuromorphic computing, enabling efficient supervised learning in spike-based neural architectures. First, synaptic updates are ...
Semiconductor Engineering

The Optical Implementation of Backpropagation (Oxford, Lumai)

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. “Optics is an exciting route for the ...
Semiconductor Engineering

In Situ Backpropagation Strategy That Progressively Updates Neural Network Layers Directly in HW (TU Eindhoven)

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...
Nature

Artificial neural network model with different backpropagation algorithms and meteorological data for solar radiation prediction

Solar energy serves as a great alternative to fossil fuels as they are clean and renewable energy. Accurate solar radiation (SR) prediction can substantially lower down the impact cost pertaining to ...