From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

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 ...

Kidney function during the second trimester may be associated with adverse pregnancy outcomes for women with lupus, particularly for women with lupus nephritis, according to study findings published ...

A research group from the University of Osaka, Zen University, and the University of Tokyo has mathematically uncovered the ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...

AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, ...

GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...

The nature of dark matter remains one of the greatest mysteries in cosmology. Within the standard framework of ...