A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Unmanned aerial vehicles (UAVs), commonly known as drones, are now widely used worldwide to tackle various real-world tasks, ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

They are not the first group to apply machine learning to the challenge of coming up with an ideal XC functional. But the Microsoft team used a more complex algorithm than others, incorporating ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Sleep disorder classification is crucial in improving human quality of life. Sleep disorders and apnoea can have a significant influence on human health. Sleep- ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

The proposed approach allows us to (1) decide whether to use a heuristic or exact solution approach and (2) tune the exact algorithm if needed. The results show that machine learning can be used to ...

Comparison of evaluation metrics─AUC, F1 score, sensitivity, and specificity─for various toxicity end points, showcasing the performance of the proposed consensus model using multiple machine learning ...

Researchers from Michigan Tech and the University of California, Los Angeles (UCLA) are collaborating on a machine learning model that aims to break the cubic scaling barrier of quantum mechanics.