MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...

Finbold's AI prediction platform estimated, on average, that the Bitcoin price will rally a mere 1.6% by January 31, 2026.

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Major Depressive Disorder (MDD) is a leading cause of disability among adolescents, yet the efficacy of Electroconvulsive ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

ABSTRACT: Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Accurately predicting chemical reactions is essential for driving innovation in ...