A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

This project is a C++ console app designed to minimize Boolean functions using the Quine-McCluskey method. The program reads a Boolean function from a text file, processes it to identify prime ...

In this note we attempt to point out why boolean functions are, in general, not applicable in information retrieval systems.

This repository contains the code and data of our research on pairing security advisories with vulnerable functions using open-source Large Language Models (LLMs). GPU Support: The research codebase ...

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 ...

Abstract: FPGA implementation of Boolean functions with multiplexers using a laboratory board, based on Spartan-6 devices, is presented in the paper. It will be used in the training of electrical ...

This paper introduces a novel algorithm to synthesize a low-cost reversible circuits for any Boolean function with n inputs represented as a Positive Polarity Reed–Muller expansion. The proposed ...