Abstract
The fusion of edge computing and artificial intelligence (AI) has galvanized an emerging paradigm known as Edge AI, which transfers computational intelligence away from centralized cloud infrastructures and into decentralized edge nodes. These evolutionary changes address crucial limitations imposed on traditional cloud systems, such as high latent periods, bandwidth quotas, the concern of data privacy, and demands for real-time processing applications. Embedded simulated intelligence facilities in the edge devices then allow faster humane decisions, better human experience, and improved autonomy for various applications like smart cities, autonomous vehicles, industrial IoT, and healthcare systems. This paper discusses the technological evolution of Edge AI, analyzes the challenges of deploying intelligent systems in the edge, as well as the influence the technology has on the whole landscape of decentralized cloud computing. In presenting a picture of emerging architectures, hardware advancements, and algorithmic innovations, the ways in which Edge AI is transforming what is thought of as the computational model, as well as creating new standards for a more responsive, secure, and scalable digital future, is emphasized.
Citations
IRE Journals:
Anant Mittal
"The Evolution of Edge AI: A New Paradigm in Decentralized Cloud Computing" Iconic Research And Engineering Journals Volume 8 Issue 11 2025 Page 2185-2196
IEEE:
Anant Mittal
"The Evolution of Edge AI: A New Paradigm in Decentralized Cloud Computing" Iconic Research And Engineering Journals, 8(11)
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IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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