Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

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 ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

ABSTRACT: Background/Objective: Wrinkles, nasolabial folds, pigmented spots, and roughness are representative parameters reflecting facial skin aging. Among them, nasolabial folds are a particular ...

ABSTRACT: The paper continues the research on algorithms for generating nondeterministic finite automata possessing the following property (the so-called walibad property): among their covering ...

High-quality random number generators are required for various applications such as cryptography, secure communications, Monte Carlo simulations, and randomized algorithms. Existing pseudorandom ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...