Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
“Robert” and “Bob” refer to the same first name but are textually far apart. Traditional string similarity functions do not allow a flexible way to account for such synonyms, abbreviations and aliases ...
Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...
String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...
Abstract: This letter proposes an advanced convolutional neural network (CNN)-based classifier for detecting the contamination level of in-service insulator strings. The goal is to enhance condition ...
The Atmospheric Radiation Measurement (ARM) Data Center is responsible for the timely collection, archival, and curation of science data products. These products are freely available through an online ...
ML-DSA has a 'context string' as an input; the idea is to allow the capability to bind a signature to a specific context. Should we specify that, when we implement ML-DSA within a composite signature, ...
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