The sports betting industry is constantly facing new challenges, so STATSCORE takes a deep dive into one of the most ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Today’s common bioprocessing technologies do not efficiently develop complex biologics like cell and gene therapy and mRNA products. The at-line monitoring, off-line analytics, and legacy control ...

Open standards, intelligent analytics and industry collaboration enable integrated, data-driven and sustainable operations to meet evolving life science demands. The bioprocessing industry stands at a ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.

In the first months of his administration, President Donald Trump repeatedly threatened due process, a fundamental principle enshrined in the U.S. Constitution. His attacks have spanned from the ...

80% of manufacturers are exploring AI. 1 Here’s how leaders are moving from pilots to measurable impact. We see tremendous AI adoption across process manufacturing industries. The focus is shifting ...