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

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

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

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

As 2026 approaches, dealmakers face a dual challenge: balancing macro uncertainty with the transformative potential of the ...

AI only creates lasting value when it is woven into the flow of work. Retail and CPG companies must redesign processes so AI ...

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

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

Predictive business process monitoring and event prediction constitute an evolving field that harnesses advanced data analytics, machine learning, and process mining to forecast future events and ...

Automakers use AI-driven predictive maintenance and computer vision control to achieve a 35-50% reduction in unscheduled downtime at a BMW plant.

Softlink Global has outlined a new phase in its technology roadmap for freight forwarding and logistics automation, unveiling a suite of artificial ...