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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Hardware Implementation of Multi-LFSR Pseudo Random Number Generator

Abstract: This paper presents the implementation of a hardware pseudo-random number generator (PRNG) using multiple linear feedback shift registers (LFSRs) for generating pseudo-random numbers and ...
IEEE

Efficient Pseudo Random Number Generator (PRNG) Design on FPGA

Abstract: Random Number Generators (RNGs) are substantially used in many security domains, providing a fundamental source of unpredictability essential for tasks such as cryptography, simulations, and ...
IEEE

Superconducting Nanostrip Photon-Number-Resolving Detector as an Unbiased Random Number Generator

Abstract: Detectors capable of resolving the number of photons are essential in many applications, ranging from classic photonics to quantum optics and quantum communication. In particular, ...
IEEE

FPGA implementation of Chaotic pseudo-random number generator for cryptographic applications

Abstract: Reconfigurable systems often require secret keys for encrypting and decrypting data. To address this need, applications requiring high security typically use physical unclonable functions ...
IEEE

A Lightweight Hybrid Random Number Generator With Dynamic Entropy Injection

Abstract: This paper presents a lightweight hybrid random number generator (HRNG), implemented and evaluated on a Field-Programmable Gate Array (FPGA). The proposed design enhances security and ...
GitHub

carlosmgv02/diagram-ai-generator

Professional AI-powered architecture diagram generator with multi-cloud support and MCP (Model Context Protocol) server integration. Generate beautiful, accurate diagrams with provider-specific icons ...