A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...
WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
Abstract: Document image classification has a significant difficulty for the retrieval of digital documents and systems management in recent years. The main goal of this study is to investigate the ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
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