Technique allows estimation of the force acting on each grain of sand in a dune

Brazilian researchers have developed a technique that estimates the force exerted on each grain of sand in a dune from images ...
Semiconductor Engineering

Accelerator Architecture For In-Memory Computation of CNN Inferences Using Racetrack Memory

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...
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Convolutional neural network (CNN)

What is a Convolutional Neural Network (CNN)? CNNs, short for Convolutional Neural Networks, are deep learning tools built to analyse visual data such as photos and graphics. It is a brain-inspired ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...