A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...

Rigorous testing of display components is essential to meet consumer expectations and maintain brand reputation, says ...

FORESIGHT-ID is a multi-machine learning platform designed to accurately model and forecast greenhouse gas (GHG) emissions ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

This study investigated historical stream discharge trends in the River Ruiru sub-catchment of Kiambu County, Kenya, from 2006 to 2016. The research employed a descriptive quantitative research design ...

Preeti Sulibhavi and Jacob Nolan explore how 3D printing is empowering European drone innovators like Quantum Systems and ...