Pharmaceutical manufacturing demands consistency, high precision, and continuous improvement to ensure the safety and quality of medicines. The new platform automates the development of digital twins, ...

7. Accelerate production workflow with extra machines, not data scientists Throwing bodies at the production problem is not an option.

Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do ...

But if this is a universal understanding, that AI empirically provides a competitive edge, why do only 13% of data science projects, or just one out of every 10, actually make it into production?

Researchers at University of Tennessee, Knoxville are collaborating on PegasusAI, an NSF-funded project to enhance scientific workflows using AI. By integrating tools like large language models and ...

Researchers have now doubled the ability of biomass waste-derived engineered biochar to capture carbon dioxide using a newly developed data-driven workflow Climate change presents a formidable ...