In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...

Numerous phenomenological nuclear models have been proposed to describe specific observables within different regions of the nuclear chart. However, developing a unified model that describes the ...

Symbolic regression (SR) has emerged as a powerful tool for automated scientific discovery, enabling the derivation of governing equations from experimental data. A growing body of work illustrates ...

A new data set reveals just how bad AI is at reasoning—and suggests that a new hybrid approach might be the best way forward. Questions, questions: Known as CLEVRER, the data set consists of 20,000 ...

Clean language is an interesting case in point, because it was not born as a stabilized academic concept, but as a meticulous clinical practice, before being theorized, disseminated and retranslated ...

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 ...