Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of the internet, characterized by decentralized systems, peer-to-peer networks, and advanced technologies such as blockchain and smart contracts. In this paper, we provide an overview of the role of AI in the development of Web 3.0, its opportunities, and challenges. AI can be used to process and analyze large amounts of data more effectively, enabling more intelligent decision-making and insights. We review the key concepts and technologies of Web 3.0, including the Semantic Web, and ontologies, and highlight the potential of AI to transform various industries, including healthcare, finance, and education. We also analyze the challenges of AI in Web 3.0, including data privacy, bias, trust, and ethics, and discuss the potential implications of AI in Web 3.0 for society as a whole. Finally, we outline the future directions and implications of AI in Web 3.0, and recommend areas for future research. Our paper contributes to a better understanding of the potential impact of AI on the development of the web and its implications for society as a whole.
| Published in | American Journal of Computer Science and Technology (Volume 6, Issue 2) |
| DOI | 10.11648/j.ajcst.20230602.14 |
| Page(s) | 74-79 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Artificial Intelligence, Web 3.0, Data Mining, Machine Learning
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APA Style
Jasmin Praful Bharadiya. (2023). Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead. American Journal of Computer Science and Technology, 6(2), 74-79. https://doi.org/10.11648/j.ajcst.20230602.14
ACS Style
Jasmin Praful Bharadiya. Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead. Am. J. Comput. Sci. Technol. 2023, 6(2), 74-79. doi: 10.11648/j.ajcst.20230602.14
AMA Style
Jasmin Praful Bharadiya. Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead. Am J Comput Sci Technol. 2023;6(2):74-79. doi: 10.11648/j.ajcst.20230602.14
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Download@article{10.11648/j.ajcst.20230602.14,
author = {Jasmin Praful Bharadiya},
title = {Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead},
journal = {American Journal of Computer Science and Technology},
volume = {6},
number = {2},
pages = {74-79},
doi = {10.11648/j.ajcst.20230602.14},
url = {https://doi.org/10.11648/j.ajcst.20230602.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcst.20230602.14},
abstract = {Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of the internet, characterized by decentralized systems, peer-to-peer networks, and advanced technologies such as blockchain and smart contracts. In this paper, we provide an overview of the role of AI in the development of Web 3.0, its opportunities, and challenges. AI can be used to process and analyze large amounts of data more effectively, enabling more intelligent decision-making and insights. We review the key concepts and technologies of Web 3.0, including the Semantic Web, and ontologies, and highlight the potential of AI to transform various industries, including healthcare, finance, and education. We also analyze the challenges of AI in Web 3.0, including data privacy, bias, trust, and ethics, and discuss the potential implications of AI in Web 3.0 for society as a whole. Finally, we outline the future directions and implications of AI in Web 3.0, and recommend areas for future research. Our paper contributes to a better understanding of the potential impact of AI on the development of the web and its implications for society as a whole.},
year = {2023}
}
TY - JOUR T1 - Artificial Intelligence and the Future of Web 3.0: Opportunities and Challenges Ahead AU - Jasmin Praful Bharadiya Y1 - 2023/06/15 PY - 2023 N1 - https://doi.org/10.11648/j.ajcst.20230602.14 DO - 10.11648/j.ajcst.20230602.14 T2 - American Journal of Computer Science and Technology JF - American Journal of Computer Science and Technology JO - American Journal of Computer Science and Technology SP - 74 EP - 79 PB - Science Publishing Group SN - 2640-012X UR - https://doi.org/10.11648/j.ajcst.20230602.14 AB - Artificial Intelligence (AI) has emerged as a key driver of innovation in the digital era, offering new possibilities for the development of Web 3.0. Web 3.0 represents the next evolution of the internet, characterized by decentralized systems, peer-to-peer networks, and advanced technologies such as blockchain and smart contracts. In this paper, we provide an overview of the role of AI in the development of Web 3.0, its opportunities, and challenges. AI can be used to process and analyze large amounts of data more effectively, enabling more intelligent decision-making and insights. We review the key concepts and technologies of Web 3.0, including the Semantic Web, and ontologies, and highlight the potential of AI to transform various industries, including healthcare, finance, and education. We also analyze the challenges of AI in Web 3.0, including data privacy, bias, trust, and ethics, and discuss the potential implications of AI in Web 3.0 for society as a whole. Finally, we outline the future directions and implications of AI in Web 3.0, and recommend areas for future research. Our paper contributes to a better understanding of the potential impact of AI on the development of the web and its implications for society as a whole. VL - 6 IS - 2 ER -
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