For the past 20 years or so, we've seen a growing demand for accountability in the public and nonprofit sectors. It's not enough to document your program's outputs—say, the number of students who took ...

Computational models of molecular and gene networks are now commonplace. They are becoming larger and more complex, and are based on various approaches. Standard formats permit the sharing and reuse ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. "Leadership" is a powerful word. We feel it when we are in ...

In the development business, there’s no excuse for a bad design. Unfortunately, you probably know developers who skip through or completely ignore the design process because they don’t understand the ...

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 ...

If the past decade was about AI learning to see, read and summarize, the next one will be about AI learning to help.

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

We sat down with David Gregory, product manager for the global earthquake product suite @CoreLogicInc, to discuss the updated Japan Earthquake Model on @Nasdaq’s catastrophe risk modelling service.