Researchers have developed a new artificial intelligence (AI) technique that brings machine vision closer to how the human brain processes images. Called Lp-Convolution, this method improves the ...

School of Integrated Circuits, Shandong University, Jinan 250100, P. R. China Shenzhen Institute of Shandong University, Shenzhen 518057, P. R. China School of Integrated Circuits, Shandong University ...

When visual information enters the brain, it travels through two pathways that process different aspects of the input. For decades, scientists have hypothesized that one of these pathways, the ventral ...

To tackle these challenges, we introduce the DSMF-Net, a SAR ship detection network leveraging deformable strip convolution and multi-scale feature refinement and fusion. Firstly, to counter ...

A new AI tool could slash cancer drug research waiting times in half - AI technology developed by a team at The Institute of Cancer Research may be able to streamline the years-long drug discovery pro ...

Recently, inspired by deep learning, SU models based on neural networks have been proposed to more effectively extract and handle nonlinear features. Nevertheless, the convolution strategies employed ...

I then use this dataset to perform a three-label classification analysis via deep learning (DL) techniques (B) by building a variant of a hybrid model architecture of sequences of 1D convolutional ...

Google and the Computer History Museum release AlexNet’s original 2012 source code on GitHub, offering a rare look at a pivotal moment in AI history.

The review discusses the advantages of using ANNs, including feed-forward, cascade-forward, convolutional, recurrent, and graph neural networks, over traditional machine learning algorithms for ...