Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

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, ...

Deep learning models, particularly Convolutional Neural Networks (CNN), are the core technologies for current Chinese handwriting recognition. The workflow can be summarized in the following steps: ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...

Fossil bite mark analysis with AI shows early humans were prey for leopards, reshaping what we know about human evolution.

Mostafa Khedr, Mahmoud Metawie, and Mohamed Marzouk from Cairo University have developed a framework that integrates Ground ...

The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern ...

Rather than searching for the hedgehogs directly, researcher Gabriel Mahler developed an AI model that identifies brambles, ...

This paper proposes a deep learning framework F-GCN that integrates multiple wavelet bases, and extracts MI brain electrical ...

The “EchoCare” Ultrasound Large Model was trained on the first ultrasound image dataset known to exceed 4 million images. The model introduces a “Structured Contrast Self-Supervised Learning Framework ...

Discover how AI-based eye scans are transforming healthcare by detecting high blood sugar and heart disease through ...