Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

Blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) is a cornerstone of non-invasive brain function investigation, yet its ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

That’s the idea behind Umia, billed as the world’s first “ AI manicure machine”. At first glance, it looks more like a ...

Learn how ARUP's AI algorithm improves diagnostic accuracy for detecting intestinal parasites, enhancing treatment outcomes ...

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in ...

Abstract: In order to improve the efficiency and accuracy of oil pipeline crack detection, this article optimizes the deep learning crack detection algorithm based on drones, introduces attention ...

Only 7.2% of domains appear in both Google AI Overviews and LLM results. Here’s what that gap means for your SEO strategy.