Abstract: This paper introduces a novel chaotic-based pseudo-random number generator (PRNG) architecture utilizing the Lorenz system. We examine an enhanced model, employing techniques such as Euler ...
Use convert.py to transform ChatGLM-6B into quantized GGML format. For example, to convert the fp16 original model to q4_0 (quantized int4) GGML model, run: python3 ...
Publishing giants like Penguin Random House and Macmillan are eager to use AI internally—but not for writing or editing.
Abstract: True random number generation on resource-constrained devices is challenging due to inherent hardware limitations; these limitations affect the ability to find a reliable source of ...
Abstract: The entropy source structure with embedded XOR gates in a ring oscillator (RO) as a true random number generator (TRNG) can improve the speed of accumulating jitter in the oscillator.
Abstract: This work presents a fast, low power and simple structure noise-based true random number generator (TRNG) using discrete components and devices such as resistor., capacitor, diode., ...
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 ...
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 ...
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 ...
Abstract: With the rapid deployment of Internet of Things (IoT) devices in resource-constrained environments, lightweight and energy-efficient random number generation has become increasingly crucial.
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