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

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

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 ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Methanol-to-olefins (MTO) is a crucial non-petroleum route to produce light olefins like ethene and propene, which are essential for manufacturing ...

Time series electrocardiography combined with AI predicted cardiac arrest with remarkable accuracy. Discover how this ...

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

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.

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

Strong predictive signals don't automatically translate into investable strategies, especially at institutional scale.

The size of Amazon Ads is staggering, with billions of impressions in categories such as fashion, fitness, and luxury. I have ...

The other is to invest in high-fidelity digital twins which are deemed to be powerful but costly, data-hungry, and often slow to implement. A practical middle ground is emerging: the disruption-aware ...