Tech Xplore

Flexible position encoding helps LLMs follow complex instructions and shifting states

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Frontiers

YOLO SSPD: a small target cotton boll detection model during the boll-spitting period based on space-to-depth convolution

1 College of Information Science and Technology, Shihezi University, Shihezi, China 2 School of Information Science and Engineering, Xinjiang College of Science and Technology, Korla, China ...
IEEE

The Neural Network of One-Dimensional Convolution-An Example of the Diagnosis of Diabetic Retinopathy

Abstract: Diabetes is a serious threat to health development, because diabetes is a disease that caused most other diseases (complications). Diabetic retinopathy is the most important manifestation of ...
GIGAZINE

'Animated AI' provides an animated explanation of convolutional neural network processing

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 ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
Frontiers

Classification of Power Quality Disturbance Based on S-Transform and Convolution Neural Network

The accurate classification of power quality disturbance (PQD) signals is of great significance for the establishment of a real-time monitoring system of modern power grids, ensuring the safe and ...