The model predicted that if B cells were nearly eliminated, there would be little impact on the vaccine response, and experiments showed that prediction was correct. This modeling approach could be ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

It is now practical to write software for real-time systems long before the actual computer hardware is sitting in a physical prototype. In today’s world it is rare to find electromechanical devices ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

In precision agriculture, where data is used to automate and optimize agricultural tasks for maximum yield, large-scale ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

Quantitative systems pharmacology (QSP) is a field of biomedical research that aims to model the mechanisms behind disease progression and quantify the pharmacokinetics and pharmacodynamics of ...