Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Artificial Intelligence’s Evolution and Impact: From the Birth of Intelligent Agents to Navigating Sustainable and Renewable Energy in the Digital Era

Version 1 : Received: 24 December 2023 / Approved: 25 December 2023 / Online: 25 December 2023 (16:15:23 CET)

How to cite: Khan, M.O. Artificial Intelligence’s Evolution and Impact: From the Birth of Intelligent Agents to Navigating Sustainable and Renewable Energy in the Digital Era. Preprints 2023, 2023121850. https://doi.org/10.20944/preprints202312.1850.v1 Khan, M.O. Artificial Intelligence’s Evolution and Impact: From the Birth of Intelligent Agents to Navigating Sustainable and Renewable Energy in the Digital Era. Preprints 2023, 2023121850. https://doi.org/10.20944/preprints202312.1850.v1

Abstract

AI applications are transforming the technology and digital sector, seamlessly integrating into the daily interactions of individuals with the digital world. Key entry points to the internet, such as search engines, are now complemented by recommendation systems that curate content on social networks, streaming platforms, and online marketplaces. Additionally, virtual assistants have become ubiquitous across various platforms. While these groundbreaking changes are gradually extending to several industries, there remains significant untapped potential for the application of artificial intelligence in diverse domains. The renewable energy sector, in particular, continually reinvents itself through research and innovation to meet the escalating demand. Positioned at the forefront of technological evolution, this industry is well-placed to effectively adopt and tailor the innovations of artificial intelligence to its specific needs. Presently, both emerging and established tools leverage elements of AI to enhance processes and introduce functionalities that were previously unattainable. If the current trajectory persists, AI-enhanced tools have the potential to assume a role as crucial to the future of engineering as computer-aided design (CAD) software is in contemporary times.

Keywords

Artificial Intelligence; Machine Learning; Sustainable Development; and Renewable Energy

Subject

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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