Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...

Abstract: This study examines the issue of interpretability in fault diagnosis for rolling bearings using a symbolic learning technique. We propose the adoption of weighted signal temporal logic (wSTL ...

Carmen Jordá Sanz has worked with the security company Prosegur, and is currently on a leave of absence. She also holds shares in Prosegur. On Sunday October 19, criminals managed to steal eight ...

Abstract: Programmable Logic Controllers (PLC) are widely used in industry. The reliability of the PLC is vital to many critical applications. This paper presents a novel approach to the symbolic ...

What if artificial intelligence could do more than see anecdotal evidence of where business growth is and identify the actions to drive that growth? That’s the promise of neurosymbolic AI.

As of , had a $0.0 market capitalization, putting it in the percentile of companies in the industry. does not have a meaningful P/E due to negative earnings over the last 12 trailing months. ’s ...

Z3 is an efficient Satisfiability Modulo Theories (SMT) solver from Microsoft Research. Z3 is a solver for symbolic logic, a foundation for many software engineering tools. SMT solvers rely on a tight ...

MR. MCCOLL still expresses surprise at my declining to answer a Yes or No question which he was pleased to put to me in NATURE (vol. xxiv. p. 124). It was, I should think, almost unique in a ...

MANY who are interested in the progress of logical science have looked forward to the appearance of this long-expected work as one likely to give them a logical treat. They will not be disappointed.