Cardiovascular diseases (CVDs) present a substantial danger to human well-being. The risk of experiencing them throughout one’s lifetime exceeds 30%. Among these cardiovascular ailments, myocardial ...

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Pacific Gas & Electric is increasingly turning to artificial intelligence to refine the accuracy of weather models as it ...

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

Nvidia's reported $400 million acquisition of Kumo AI is a bet that the next wave of enterprise AI value will come from business data, not just documents and code.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve ...