IEEE

Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks

Abstract: Backpropagation neural networks are commonly utilized to solve complicated issues in various disciplines. However, optimizing their settings remains a significant task. Traditional ...
Hacker

Backprop — The Russian Algorithm the West Claimed as Its Own

Your browser does not support the audio element. The backpropagation algorithm is the cornerstone of modern artificial intelligence. Its significance goes far beyond ...
Scientific Research Publishing

Magoulas, G.D., Vrahatis, M.N. and Androulakis, G.S. (1999) Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. Neural ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...
IEEE

COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
The New York Times

After Briefly Disappearing, TikTok Went Back to Normal. Or Did It?

TikTok’s future is in limbo as another deadline looms. For some users, nothing has been the same since those 14 hours in January anyway. By Madison Malone Kircher There were jokes. There was despair.
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 ...
Scientific Research Publishing

Gillis, A. S., Hashemi-Pour, C., & Zola, A. (2024, August 15). What Is a Backpropagation Algorithm? TechTarget.

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
EurekAlert!

Not so simple machines: Cracking the code for materials that can learn

Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...
Semiconductor Engineering

Backpropagation Algorithm On Neuromorphic Spiking HW (U. Of Zurich, ETH Zurich, LANL)

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...
marktechpost

On-Chip Implementation of Backpropagation for Spiking Neural Networks on Neuromorphic Hardware

Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...
losalamosreporter

LANL: AI Algorithms Deployed On-Chip Reduce Power Consumption Of Deep Learning Applications

Recent generations of machine learning, the methodology supporting artificial intelligence, have drawn inspiration from natural neural systems. These algorithmic approaches that mirror the complex ...