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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 ...
Business Wire

NTT Research and Cornell Scientists Introduce Deep Physical Neural Networks

Deep neural networks are now pervasive in science and engineering. To train them to perform mathematical functions, such as image recognition, users rely upon a training method known as ...
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 ...
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 ...
JSTOR Daily

Forecasting Single Disease Cost of Cataract Based on Multivariable Regression Analysis and Backpropagation Neural Network

Department of Health and Aging Australia. The Review of the AR-DRG Classification System Development Process: Brisbane, QLD, Australia: PricewaterhouseCoopers; 2009. 2. Klein-Hitpass U, ...
InfoWorld

Styles of machine learning: Intro to neural networks

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...