Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

Few innovators bridge computational astrophysics, enterprise-scale artificial intelligence, and quantum computing while ...

Excess phosphorus in lakes and reservoirs fuels harmful algal blooms, threatens drinking water safety, and damages aquatic ecosystems worldwide. Now ...