Artificial Intelligence in Scientific Research: Accelerating Discovery and Innovation
Received Date: Mar 01, 2025 / Published Date: Mar 28, 2025
Abstract
Artificial Intelligence (AI) is revolutionizing the scientific research landscape by enhancing data analysis, accelerating discovery, and enabling predictive modeling across disciplines. From biology to astrophysics, AI tools are driving unprecedented efficiencies in hypothesis generation and experimental design. This article explores the integration of AI in various scientific domains, its role in automating research processes, and its impact on data-intensive fields such as genomics, drug discovery, and climate modeling. The article also considers ethical challenges, including data bias and transparency, while highlighting future directions that emphasize collaborative, human-AI partnerships in research.
Citation: Nathaniel BH (2025) Artificial Intelligence in Scientific Research:Accelerating Discovery and Innovation. Arch Sci 9: 267.
Copyright: 穢 2025 Nathaniel BH. This is an open-access article distributed underthe terms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
Select your language of interest to view the total content in your interested language
Share This Article
91勛圖 Journals
Article Usage
- Total views: 73
- [From(publication date): 0-0 - Sep 03, 2025]
- Breakdown by view type
- HTML page views: 48
- PDF downloads: 25
