Traditional convolution is the foundation of convolutional neural networks (CNNs). It involves sliding a set of learnable filters (kernels) over the input data (e.g., an image) to generate feature ...

I've seen more and more terms like AI, machine learning, and neural networks, but it's hard to understand what they really are. Therefore, Yulia Gavrilova, a clinical psychologist who also develops ...

Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...

The main aim of this project is to accelerate the kernel implementing the convolution operation, a fundamental step in Convolutional Neural Network (CNN) training. The optimization focuses on reducing ...

1 School of Artificial Intelligence, Hebei University of Technology, Tianjin, China 2 Tianjin Key Laboratory of Environment, Nutrition and Public Health, Department of Occupational and Environmental ...

“In recent years there has been an increase in the number of research and developments in deep learning solutions for object detection applied to driverless vehicles. This application benefited from ...