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 ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

Artificial intelligence (AI) is rapidly reshaping the landscape of leukemia diagnosis, offering new possibilities for earlier detection, more precise classification, and improved patient care, ...

BEIJING, Oct. 13, 2025 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that ...

Wind energy has become an important source of electricity generation and aims to achieve a cleaner, more sustainable energy model. However, in order to compete with conventional energy resources, the ...

Please provide your email address to receive an email when new articles are posted on . A convolutional neural network accurately measured Cobb angles of patients with adolescent idiopathic scoliosis.