MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found that more than 40% of the crystal structures in the databases contained ...
Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...
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Brain-inspired AI could cut energy use and boost performance
Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
DenseWolf-K, a hybrid AI framework, achieved 99.64% accuracy in brain tumour MRI classification, revolutionising medical ...
If you haven’t lived underneath a rock for the past decade or so, you will have seen a lot of arguing in the media by ...
Artificial intelligence (AI) could soon become more energy-efficient and faster, thanks to a new approach developed at the ...
This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.
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