Related papers: Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications

URL: http://arxiv.org/abs/2410.10110v1
Date: Mon, 14 Oct 2024 02:56:36 GMT
Title: Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications
Authors: Pohsun Feng, Ziqian Bi, Lawrence K. Q. Yan, Yizhu Wen, Benji Peng, Junyu Liu, Caitlyn Heqi Yin, Tianyang Wang, Keyu Chen, Sen Zhang, Ming Li, Jiawei Xu, Ming Liu, Xuanhe Pan, Jinlang Wang, Qian Niu,
Abstract summary: The article begins with an introduction to cryptography fundamentals. It covers topics such as proof-of-work, proof-of-stake, and smart contracts. The article concludes by addressing the current state of academic research on blockchain.
Score: 17.293955748551053
License: http://creativecommons.org/licenses/by/4.0/
Abstract: This article provides a detailed exploration of blockchain technology and its applications across various fields. It begins with an introduction to cryptography fundamentals, including symmetric and asymmetric encryption, and their roles in ensuring security and trust within blockchain systems. The article then delves into the structure and mechanics of Bitcoin and Ethereum, covering topics such as proof-of-work, proof-of-stake, and smart contracts. Additionally, it highlights practical applications of blockchain in industries like decentralized finance (DeFi), supply chain management, and identity authentication. 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 article concludes by addressing the current state of academic research on blockchain and its potential future developments.

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