| Issue |
E3S Web Conf.
Volume 460, 2023
International Scientific Conference on Biotechnology and Food Technology (BFT-2023)
|
|
|---|---|---|
| Article Number | 04018 | |
| Number of page(s) | 4 | |
| Section | IoT, Big Data and AI in Food Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202346004018 | |
| Published online | 11 December 2023 | |
How AI and machine learning can drive sustainable development
1 Dagestan State University of National Economy, Ataeva Street, 5, Makhachkala, 367008 Russia
2 Kadyrov Chechen State University, 32 Sheripova Street, Grozny, 364024, Russia
3 Kazan State Power Engineering University, 420066, Kazan, Russia
* Corresponding author: J120712@yandex.ru
Artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools that can revolutionize various sectors, including sustainable development. This article explores the potential contributions of AI and ML to sustainable development, focusing on their applications in areas such as energy, agriculture, healthcare, and transportation. The methodology involves a comprehensive review of existing literature, including research papers, reports, and case studies. The results and discussion highlight the significant impact of AI and ML in promoting sustainability, improving resource efficiency, enhancing decision-making processes, and addressing complex challenges.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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