Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications
Abstract
A detailed exploration of blockchain technology and its applications across various fields is provided, beginning with an introduction to cryptography fundamentals, including symmetric and asymmetric encryption, and their roles in ensuring security and trust within blockchain systems. The structure and mechanics of Bitcoin and Ethereum are then examined, covering topics such as proof-of-work, proof-of-stake, and smart contracts. Practical applications of blockchain in industries like decentralized finance (DeFi), supply chain management, and identity authentication are highlighted. The discussion also extends to consensus mechanisms and scalability challenges in blockchain, offering insights into emerging technologies like Layer 2 solutions and cross-chain interoperability. The current state of academic research on blockchain and its potential future developments are also addressed.
Cite
@article{arxiv.2410.10110,
title = {Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications},
author = {Pohsun Feng and Ziqian Bi and Lawrence K. Q. Yan and Yizhu Wen and Benji Peng and Junyu Liu and Caitlyn Heqi Yin and Tianyang Wang and Keyu Chen and Sen Zhang and Ming Li and Jiawei Xu and Ming Liu and Xuanhe Pan and Jinlang Wang and Xinyuan Song and Qian Niu},
journal= {arXiv preprint arXiv:2410.10110},
year = {2025}
}
Comments
This book contains 241 pages and 5 figures