Abstract: Neural networks decide or predict something by learning examples. Recently, improving equips and enlarging data enable the deep learning to perform complex decision. However, some objects ...

If available, the user can retrieve the Boolean functions of a gate by using get_boolean_function and get_boolean_functions respectively. While the first command requires the name of the desired ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

ABSTRACT: This survey article illustrates many important current trends and perspectives for the field and their applications, of interest to researchers in modern algebra, mathematical logic and ...

The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously intractable problems in ...

This package is a boolean matcher. It simply computes the canonical representative, which is unique for each NPN equivalence class, for a given boolean function represented by truth table. The backend ...

As seen in earlier articles, the only two possible states of information for digital electronics are true and false. Be it an electric current, a numeric datum, or a variable of any kind, the system’s ...

We propose a flow for automated quantum compilation. Our flow takes a Boolean function implemented in Python as input and translates it into a format appropriate for reversible logic synthesis. We ...