ARTIFICIAL INTELLIGENCE IN TECHNICAL AND APPLIED SCIENCES: INNOVATIONS AND DIGITAL TECHNOLOGIES
DOI:
https://doi.org/10.65164/r373ag42Keywords:
Artificial Intelligence, Technical Sciences, Innovations, Digital Technologies, Machine Learning, AutomationAbstract
Artificial Intelligence (AI) has revolutionized technical and applied sciences, driving
innovations through digital technologies such as machine learning, big data analytics, and automation.
This article explores the integration of AI in fields like engineering, materials science, and
environmental monitoring, highlighting key advancements as of 2026. We discuss case studies,
challenges, and future prospects, emphasizing AI's role in enhancing efficiency, sustainability, and
problem-solving capabilities. Drawing from recent developments, the paper underscores the need for
ethical frameworks and interdisciplinary collaboration to maximize AI's potential in technical
domains.
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