News

Cambricon's Neural Network Model Quantization Training Method Patent Authorized

On September 15, People's Financial News reported that according to the Qichacha app, recently, Cambricon's wholly-owned subsidiary, Anhui Cambricon Information Technology Co., Ltd., was granted a ...
EurekAlert!2y

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 ...
Diginomica2y

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 ...
Semiconductor Engineering1y

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 ...
Semiconductor Engineering6mon

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 ...

This Team Is Rethinking AI’s Core: Perforated AI Bets On Dendrites

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...
InfoQ2y

Deep Learning Pioneer Geoffrey Hinton Publishes New Deep Learning Algorithm

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Leann Chen explains how knowledge graphs ...