Towards a Sustainable Future: Enabling Industry with Green Web 3.0, Decentralized AI, and Edge Intelligence

Autor: Kashyap Meenakshi, Chauhan Ravirajsinh, Patel Dhruvil, Prajapati Kishan
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: ITM Web of Conferences, Vol 65, p 03015 (2024)
Druh dokumentu: article
ISSN: 2271-2097
DOI: 10.1051/itmconf/20246503015
Popis: Our world is, at a point in terms of the environment. The fashioned industrial approach, which heavily relies on centralized systems and resource-intensive computing is no longer sustainable. This document delves into a way to embrace Green Web 3.0, Decentralized AI and Edge Intelligence to drive the industry to-ward a more sustainable future. Green Web 3.0 challenges the energy nature of blockchain technology by utilizing eco-friendly protocols such as Proof of Stake which reduces energy consumption and lessens environmental impact. Similarly, Decentralized AI empowers distributed systems decreasing dependence, on data centers and promoting efficient resource utilization. Building on this foundation Edge Intelligence enables real-time decision making and data processing at the source reducing data transfer and optimizing energy efficiency. The combination of these technologies has the potential to revolutionize industries. Picture smart factories adjusting production in real-time supply chains supported by networks and renewable energy networks managed by intelligent edge devices.
Databáze: Directory of Open Access Journals