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 ...

A team of researchers from the Institute for Basic Science, Yonsei University, and the Max Planck Institute have developed a ...

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 ...

We develop a suite of Deep Learning (DL) models, including One- Dimension (1D) Convolutional Neural Network (CNN) and fullyconnected dense layers, for the detection of harmful events in noisy ...

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.

In this paper, we investigate if Kolmogorov-Arnold Networks (KAN) can be used to enhance the performance of KWS. We explore various approaches to integrate KAN for a model architecture based on 1D ...

Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization" and presented at EPIA 2024, the 23rd International Conference ...