Medical image synthesis is an emerging field that leverages advanced computational techniques to generate high-quality medical images from existing data. One of the most promising approaches in ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Image segmentation is a crucial process in computer vision that involves dividing an image into meaningful parts or segments. This technique is essential for various applications, including ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more resources and computer power to catch up. Though identifying objects in their ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, have developed a quantum algorithm technology for deep convolutional neural network (CNN) exchange ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a better-performing algorithm than earlier approaches in TopSpin and ...

Researchers from Australia and Bangladesh have developed an artificial intelligence model capable of spotting and ...

Associate Professor Qing Zhong shared insights on AI breakthroughs in proteomics and multiomics, challenges in data sharing ...

In this valuable manuscript, authors ablate cerebellar oligodendrocytes during postnatal development and show that synchrony of calcium transients in Purkinje neurons and behaviours are affected even ...

The rapid evolution of artificial intelligence (AI) has been marked by the rise of large language models (LLMs) with ...