A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change ...

When it comes to structured literacy, implementation science is a roadmap for translating the science of reading into ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...

Extreme RAM spike and OOM after upgrade (0.24.2 → 1.1.1) for ultra‑wide sparse L1 Logistic Regression (liblinear & saga) – baseline 680 GB → >1.4 TB (ref #28993) Summary After upgrading scikit‑learn ...

This study investigates the performance of various machine learning algorithms in the prediction of fetal health, emphasizing the impact of feature retraction on model accuracy and efficiency. Five ...

Objective: This study aimed to develop and evaluate a machine learning (ML)–based algorithm to predict whether an initial vancomycin dose falls within the therapeutic range of the 24-hour area under ...