Deep Learning: A subset of machine learning that uses neural networks with many layers to analyze various forms of data. Convolutional Neural Network (CNN): A type of deep learning model ...

Researchers have designed a CNN model that analyzes vibration data for precise detection of beam damage, highlighting advancements in structural health monitoring.

This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...

Diving deeper into DLSS 4 reveals just how impressive it is -- and just how problematic it could be in the future.

The spread of metastatic brain cancer presents one of the most challenging hurdles in oncology, as it often leads to poor ...

The GPU itself is a decent improvement over the RTX 4090, with more, faster memory, more cores, and a gorgeous chassis. But ...

Convolutional neural networks (CNNs) are particularly useful for processing images ... If the prediction was not accurate, the model identifies the ‘error’ in its calculations and feeds it back ...

Strong performance for AI image classification workloads on Stratus ztC Endurance 7100 compute platformsIssued by Stratus TechnologiesJohannesburg, 23 Jan 2025More content from whitepaperAI can be ...

In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...