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

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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 ...

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 ...

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 ...

Neural networks aren’t the only game in artificial intelligence, but you’d be forgiven for thinking otherwise after the hot streak sparked by ChatGPT’s arrival in 2022. That model’s abilities, ...

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.