Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2024
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866912783217459200 |
|---|---|
| author | Feng, Pohsun Bi, Ziqian Yan, Lawrence K. Q. Wen, Yizhu Peng, Benji Liu, Junyu Yin, Caitlyn Heqi Wang, Tianyang Chen, Keyu Zhang, Sen Li, Ming Xu, Jiawei Liu, Ming Pan, Xuanhe Wang, Jinlang Song, Xinyuan Niu, Qian |
| author_facet | Feng, Pohsun Bi, Ziqian Yan, Lawrence K. Q. Wen, Yizhu Peng, Benji Liu, Junyu Yin, Caitlyn Heqi Wang, Tianyang Chen, Keyu Zhang, Sen Li, Ming Xu, Jiawei Liu, Ming Pan, Xuanhe Wang, Jinlang Song, Xinyuan Niu, Qian |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_10110 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications Feng, Pohsun Bi, Ziqian Yan, Lawrence K. Q. Wen, Yizhu Peng, Benji Liu, Junyu Yin, Caitlyn Heqi Wang, Tianyang Chen, Keyu Zhang, Sen Li, Ming Xu, Jiawei Liu, Ming Pan, Xuanhe Wang, Jinlang Song, Xinyuan Niu, Qian Cryptography and Security 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. |
| title | Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- Blockchain and Applications |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2410.10110 |