AI teams have more language model options available to them than at any point before. As that catalog has expanded, so ...

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 ...

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, ...

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 ...

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.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Epistemic logic in multi-agent systems provides a formal framework for modelling and analysing how autonomous agents acquire, represent and reason about knowledge and beliefs. By employing modal ...