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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

A New Reconfigurable True Random Number Generator and Physical Unclonable Function Unified Chip With On-Chip Auto-Calibration

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
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

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 ...
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 ...
IEEE

A High-Speed True Random Number Generator Based on Unified Selector-RRAM

Abstract: In this letter, we propose and experimentally demonstrate a high-speed true random number generator (TRNG) by exploiting the probabilistic delay time of threshold switching (TS) in a unified ...