What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

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. Neural networks are the ...

What Is A Convolutional Neural Network? A Convolutional Neural Network (CNN), or CovNet, is a powerful deep learning algorithm designed to analyse visual data like images and videos. Inspired by the ...

The Nobel Prize in Physics was awarded to two scientists on Tuesday for discoveries that laid the groundwork for the artificial intelligence used by hugely popular tools such as ChatGPT.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

A machine learning model was more effective at detecting congenital long QT syndrome on resting ECGs than manual measurement of QT intervals by arrhythmia experts, in a new study. Researchers ...

Artificial intelligence continues disrupting established technology categories, and image editing represents one of the ...

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...