This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.

University of South Florida postdoctoral researcher Kun Bu develops advanced AI and statistical frameworks to extract clear, ...

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

A proposed computational approach could help develop more fuel-efficient aircraft, according to researchers. The method can provide aerodynamic drag data more efficiently during the early stages of ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an engineered structure that leads to desired properties such as, for instance, ...