Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.

NASA’s Perseverance rover has just made history by driving across Mars using routes planned by artificial intelligence instead of human operators. A vision-capable AI analyzed the same images and ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Abstract: Delay tolerant networks (DTN/s) represent an evolution of traditional ad hoc networks, specifically designed for extreme environments characterized by intermittent connectivity, ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN integration. It improves dynamic lesion detection, temporal ...

The exponential increase in medical imaging data has intensified the need for accurate and efficient diagnostic analysis. Conventional methods often fail to process large volumes of dynamic images ...

Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...

darnax is a research library for building and experimenting with asymmetric recurrent neural networks and their learning dynamics. Inspired by recent work on local plasticity and representational ...

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1 State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu, China 2 College of Geophysics, Chengdu University of Technology, Chengdu, China ...