In biopharmaceutical manufacturing the interactions between cells, nutrients, and reagents in culture determine product quality. The big challenge for process developers is modeling these complex ...

Whether you’ve planned for it or not, your business is heading for digital transformation. As a way to remain competitive and respond to changes in consumer demand, companies need to explore how their ...

The semiconductor industry continually pushes the boundaries of device performance through advanced process modelling and epitaxial growth techniques. In this context, sophisticated simulation methods ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...

Computer modeling techniques that accelerated the production of COVID-19 vaccines could benefit the wider vaccine sector if international regulators can develop harmonized guidelines. Bringing a ...

Is the smart use of process intelligence the best route to digital transformation? BMW Group thinks so. Over the last eight years, the €155-billion ($US167-billion ...

A technical paper titled “Review of virtual wafer process modeling and metrology for advanced technology development” was published by researchers at Coventor Inc., Lam Research. “Semiconductor logic ...

Artificial intelligence dominates today’s business agenda. From generative co-pilots to autonomous agents, organizations feel pressure to deliver visible results with AI. Yet despite billions in ...

New capabilities accelerate modeling, enhance process transparency, and connect design with real executionDUBLIN, Feb. 18, 2026 /PRNewswire/ -- BOC Group announced the release of ADONIS 18.0 ...

Impacts on breast cancer screening by targeting high-risk individuals through the utilization of allied health members in rural India. This is an ASCO Meeting Abstract from the 2022 ASCO Quality Care ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...