Modeling complex systems When studying complex biological systems such as the immune system, scientists can extract many different types of data. Sequencing cell genomes tells them which gene variants ...

In this paper, William C. Greenwalt presents a proposed taxonomy of innovation terms that can be arranged into a larger explanatory model of defense innovation. After outlining the case for a ...

Calvin Hennick is a freelance journalist who specializes in business and technology writing. He is a contributor to the CDW family of technology magazines. NASA has more programs today than at any ...

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 ...

What are the different types of predictive modeling? Your email has been sent Predictive modeling is a type of data mining that is used in a variety of situations and industries. This process involves ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

The relative importance of model type and input features for water supply forecasting in snow-dominated basins of the southwestern US Pernat, M., Kasprzyk, J., Zagona, E., Walker, S., Livneh, B., ...

The new ImageBind model combines text, audio, visual, movement, thermal, and depth data. It’s only a research project but shows how future AI models could be able to generate multisensory content. The ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...