AI at the edge 3

https://fair-wiki.win/index.php/Why_AI_at_the_Edge_Matters_for_Real-Time_Decisions

AI at the edge means running machine learning models directly on devices like smartphones, cameras, or sensors instead of sending data to the cloud. It enables real-time decisions with low latency, such as a security camera identifying a person instantly or a factory sensor predicting equipment failure. This approach reduces bandwidth needs and keeps sensitive data local, which is crucial for autonomous vehicles, healthcare wearables, and smart home systems.