Tech Xplore on MSN

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
EurekAlert!

Backpropagation training achieved in photonic neural network

Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...
Mirage News

SEOULTECH Researchers Develop VFF-Net, Revolutionary Alternative To Backpropagation That Transforms AI Training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn hidden patterns from ...
Deep Learning with Yacine on MSN

Backpropagation from Scratch in Python – Step by Step Neural Network Tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding ...
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 ...
Diginomica

Generative AI needs better context - you can't talk about Large Language Models without reverse neural networks and backpropagation

The hype over Large Language Models (LLMs) has reached a fever pitch. But how much of the hype is justified? We can't answer that without some straight talk - and some definitions. Time for a ...
Nature

Neural Networks in Neutron Spectrometry and Dosimetry

Neural networks have emerged as powerful tools in the field of neutron spectrometry and dosimetry by offering non-linear, data‐driven approaches to reconstruct complex neutron energy spectra and ...
JSTOR Daily

Estimation of minimum miscibility pressure during CO₂ flooding in hydrocarbon reservoirs using an optimized neural network

CO₂ flooding recovery strongly depends on the minimum miscibility pressure (MMP). Conventional tests to determine gas–oil MMP such as rising bubble apparatus and slim tube displacement are either ...