Nature

Convolutional autoencoder network lithology recognition based on scratch tests

To address the characteristic of frequent lithological alternations in the continental shale of the Songliao Basin in China and meet the refined requirements of reservoir modeling, it is necessary to ...
Nature

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Deep neural networks can improve the quality of fluorescence microscopy images. Previous methods, based on Convolutional Neural Networks (CNNs), require time-consuming training of individual models ...
AEC Magazine

Neural CAD AI foundational models

Autodesk's Mike Haley takes a closer look at what Autodesk is calling the next stage in 3D design "neural CAD" AI foundation ...