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 ...
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 ...