In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...

Study finds fatty diets reprogram liver cells, raising cancer risk Every meal you eat could be quietly shaping your liver’s ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...