Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI.

In this first in a series on convolutional neural networks (CNNs), we discuss the advantages of CNNs vs. classic linear programming describe the ... Instead of reporting “I recognized a cat in the ...

A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically designed to process and analyze visual information.

Neural-network training is computationally demanding, to extremes, and when training a model from scratch, a developer can expect training times of up to five days on a high-end multi-GPU machine.

Deep learning using multimodal MRI can distinguish Parkinson’s disease from multiple system atrophy with high accuracy, ...

Mark van der Wilk, an expert in machine learning at the University of Oxford, told AFP that an artificial neural network is a mathematical construct “loosely inspired” by the human brain.

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

In this study, the convolutional neural network machine learning model was able to detect long QT syndrome with higher F1 scores (a measure of machine learning model's accuracy) and sensitivities ...