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How to Mitigate the Dependencies of ChatGPT-4o in Engineering Education

Autor: Xiang, Maoyang, Teo, T. Hui

The rapid evolution of large multimodal models (LMMs) has significantly impacted modern teaching and learning, especially in computer engineering. While LMMs offer extensive opportunities for enhancing learning, they also risk undermining traditional

Externí odkaz: http://arxiv.org/abs/2407.12693

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FPGA Digital Dice using Pseudo Random Number Generator

Autor: Hian, Michael Lim Kee, Lin, Ten Wei, Xuan, Zachary Wu, Loy, Stephanie-Ann, Xiang, Maoyang, Teo, T. Hui

The goal of this project is to design a digital dice that displays dice numbers in real-time. The number is generated by a pseudo-random number generator (PRNG) using XORshift algorithm that is implemented in Verilog HDL on an FPGA. The digital dice

Externí odkaz: http://arxiv.org/abs/2405.00308

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Logistic Map Pseudo Random Number Generator in FPGA

Autor: Calderon, Mateo Jalen Andrew, Lucas, Lee Jun Lei, Rosli, Syarifuddin Azhar Bin, Ying, Stephanie See Hui, Yu, Jarell Lim En, Xiang, Maoyang, Teo, T. Hui

This project develops a pseudo-random number generator (PRNG) using the logistic map, implemented in Verilog HDL on an FPGA and processes its output through a Central Limit Theorem (CLT) function to achieve a Gaussian distribution. The system integra

Externí odkaz: http://arxiv.org/abs/2404.19246

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Digital ASIC Design with Ongoing LLMs: Strategies and Prospects

Autor: Xiang, Maoyang, Goh, Emil, Teo, T. Hui

The escalating complexity of modern digital systems has imposed significant challenges on integrated circuit (IC) design, necessitating tools that can simplify the IC design flow. The advent of Large Language Models (LLMs) has been seen as a promisin

Externí odkaz: http://arxiv.org/abs/2405.02329

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Hardware Implementation of Double Pendulum Pseudo Random Number Generator

Autor: Lim, Jarrod, Piccio, Tom Manuel Opalla, Michelle, Chua Min Jie, Xiang, Maoyang, Teo, T. Hui

The objective of this project is to utilize an FPGA board which is the CMOD A7 35t to obtain a pseudo random number which can be used for encryption. We aim to achieve this by leveraging the inherent randomness present in environmental data captured

Externí odkaz: http://arxiv.org/abs/2404.16504

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From English to ASIC: Hardware Implementation with Large Language Model

Autor: Goh, Emil, Xiang, Maoyang, Wey, I-Chyn, Teo, T. Hui

In the realm of ASIC engineering, the landscape has been significantly reshaped by the rapid development of LLM, paralleled by an increase in the complexity of modern digital circuits. This complexity has escalated the requirements for HDL coding, ne

Externí odkaz: http://arxiv.org/abs/2403.07039

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SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model Accelerator

Autor: Hsu, Huan-Ke, Wey, I-Chyn, Teo, T. Hui

Generative Artificial Intelligence (AI) has become incredibly popular in recent years, and the significance of traditional accelerators in dealing with large-scale parameters is urgent. With the diffusion model's parallel structure, the hardware desi

Externí odkaz: http://arxiv.org/abs/2403.10542

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