Pattern matching (PM) was first introduced as the semiconductor industry began to shift from simple one-dimensional rule checks to the two-dimensional checks required by sub-resolution lithography.

Pattern matching is best known for its use in detecting lithographic hotspots, but it’s also widely used across all physical verification flows, and has expanded into design-for-manufacturing (DFM) ...

Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.

Among the most elementary examples of machine learning is the one Google provides on identifying iris flowers via its Tensorflow machine learning framework. Artificial intelligence (AI) practitioners ...

Introduced with the Java 17 release, pattern matching enhances the instanceof operator so Java developers can better check and object's type and extract its components, and more efficiently deal with ...

This file type includes high resolution graphics and schematics. IC physical verification (i.e., design rule checking or “DRC”) used to be easy. In the good old days, you could run some ...

Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...

We introduce a pattern-matching technique for efficient identification of fluorophore ratios in complex multidimensional fluorescence signals using reference fluorescence decay and spectral signature ...

ABSTRACT Historical pattern matching, or analog forecasting, is used to generate short-term mesoscale transport forecasts for emergency response at the Idaho National Engineering and Environmental ...