Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Johns Hopkins applied mathematicians and astronomers have developed a new method to render images from ground-based ...

DeepSeek-V3.2-Exp builds on the company's previous V3.1-Terminus model but incorporates DeepSeek Sparse Attention. According ...

Serine serves as a metabolic nexus in tumors, coordinating one-carbon metabolism, nucleotide synthesis, and redox regulation.

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...