Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic of theirs. An ANN is a machine learning model. Like all machine learning ...

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 ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...

At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...

AI is transforming economic analysis, from natural language processing of central bank headlines to satellite imagery outperforming official statistics. This analysis is looking at how AI is enhancing ...

Wearable devices can read health data and use less battery. See how a new system helps tiny processors work longer and ...

A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because ...