A machine learning-powered backend for real-time facial detection and recognition, using Convolutional Neural Networks (CNN). This repository focuses on training, learning, and prediction processes ...

Study highlights the potential of advanced CNNs for automated seizure detection in neonates, improving outcomes and reducing ...

DLSS—or Deep Learning Super Sampling, to give it its full title—is Nvidia's upscaling technology used to deliver higher frame ...

提起“CNN”，可能很多朋友首先都会联想到“Cable News Network”，这是一家知名度很高的美国电视台。但是在人工智能领域，“CNN”与这家电视台无关，它是另外三个单词的缩写：Convolutional Neural ...

Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.

Our conic convolutional networks outperform all the baseline methods and previous state-of-the-art vanishing point detection approaches, while naive CNN implementations might under-perform those ...

In a study published in Heritage Science, a team led by Prof. Zhang Pengchang from the Xi'an Institute of Optics and ...

Akhilesh Kota, the future of fraud detection lies in blending state-of-the-art AI and robust architectures. This approach ...

BrainChip has announced the availability of its Akida advanced neural networking processor on the M.2 form factor.

New research reveals the concerning impact of AI bias on human judgment. Find out how AI systems can amplify and compound ...

This article establishes a neural network-based technique for automatic peak picking in 2D NMR spectroscopy, demonstrating a ...

An Effective Cloud Detection Network for Remote Sensing Images. Journal of Computer and Communications, 13, 1-14. doi: 10.4236/jcc.2025.131001 . Optical remote sensing technology is increasingly ...