Here’s what you need to know about how energy use, and therefore carbon emissions, could be cut across all three of those ...

Yoshua Bengio launches his nonprofit LawZero in an effort to create ' AI'–a model that hopes to avoid some of AI's most dire ...

A review on machine learning-based prediction methods for drug side effects sorts out methods for predicting side effects ...

AI offers new possibilities for efficiency and engagement, but its widespread integration into daily life calls for careful ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Abstract: The development of predictive models for rare diseases using machine learning is an important area of research with the potential to improve healthcare outcomes. Rare diseases are often ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Eye-Tracking, Machine Learning, Distance Learning, Online Learning, E-Learning, Bibliometric Analysis Share and Cite: Ayan, E ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Abstract: With enrollment in computer science (CS) programs continuing to rise ... By leveraging actual student data, we develop predictive models of student success based on early homework and ...