Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Deep Learning with Yacine on MSNOpinion

What Are 1x1 Convolutions in Deep Learning – Explained Simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
CNET

Apple Boosts M5 With New Neural, GPU Architecture

The chip will improve overall performance in upgraded MacBook Pros and iPad Pro, especially for graphics and AI.

Meet BCECNN: The AI that detects breast cancer and explains its logic

Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its ...
IEEE

Efficient Group Cosine Convolutional Neural Network for EEG-Based Seizure Identification

Abstract: Epilepsy is a common neurological disease, and its diagnosis usually depends on labor-intensive visual inspection of electroencephalogram (EEG). Although various deep learning-based seizure ...
IEEE

An FPGA-based Convolutional Neural Network Accelerator for Edge Computing

Abstract: Convolutional Neural Networks (CNNs) are a powerful tool in computer vision, excelling at tasks like image classification and object detection. The need for low latency and strict power ...