A new study published in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center ...

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...

See how BioDlink’s digital-intelligence platform is driving three major improvements in lyophilization workflows.

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...

Governments and companies constantly face decisions about how to allocate finite amounts of money to clean energy ...

A predictive space weather model developed by APL and partners that is designed to simulate how solar storms affect Earth is ...

An artificial intelligence (AI) model created by integrating clinical, molecular, and histopathological data significantly ...

During WEFTEC, Dave Rutowski explained how WIMS Process manager leverages industry-standard models to provide tailored dashboards and predictive insights that help wastewater facilities balance ...