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) ...

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 ...

As design nodes drop below 45nm, design rules are exploding in number and complexity, making design rule checking (DRC) harder and lengthier. What we have observed across the industry is that the ...

It’s no secret that a successful yield ramp directly impacts integrated circuit (IC) product cost and time-to-market. Tools and techniques that help companies ramp to volume faster, while also ...

Take advantage of pattern matching improvements in C# 8.0 to write code that is more readable, maintainable, and efficient Pattern matching is an excellent feature that was introduced in C# 7. You can ...

HOUSTON – (Sept. 27, 2023) Rice University computer scientists have won two grants from the National Science Foundation to explore new information processing technologies and applications that combine ...

Take advantage of the new relational and logical patterns in C# 9.0 to make your code more readable, maintainable, and efficient. Pattern matching is a great feature first introduced in C# 7. You can ...