To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

A team of biologists in Australia has developed a scanning device to accurately detect exactly how potent a cannabis plant is ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

This study introduces an innovative cloud-based Genome-Wide Association Study (GWAS) platform​that addresses critical challenges in genomic research, including inefficient data access, high ...

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Kajal Sheth, Staff Engineer at Reactivate, discusses how engineering, data science, and AI are converging to shape the future of community solar and enhance clean energy resilience in the U.S.

Integrating data and models is essential for advancing our understanding and management of water resources in an era of rapid ...