Fuzzy‐Based Edge AI Approach

Abstract

Fuzzy-based edge artificial intelligence is a considerably enhanced solution when compared to the conventional cloud-based artificial intelligence models. Its advantage is observed through real-time data analysis for its local data analysis. The proposed model decreases latency as there are no data transfer and allowing for quick, efficient, and real-time decisions. Applications of fuzzy-based edge artificial intelligence are health analytics, autonomous vehicles, self-driving cars, smart traffic management, robots in manufacturing works, video analytics, etc. As edge artificial intelligence does not need a connection, results into a cost, power, and energy effective solution when compared to cloud-based artificial intelligence models. This technique empowers the construction and management of improved healthcare services that are fairly valuable in the healthcare industry. Fuzzy-based edge AI ensures security and privacy, as the utmost of the data gets processed locally due to its on premise availability, whereas cloud-based artificial intelligence models allow data transfer to other locations can open up access to vulnerabilities. In our research, we outline fuzzy-based edge AI approach for the smart transformation of healthcare for a better tomorrow.

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