👉 Lifetime computing refers to the concept of enabling systems, devices, or software to continue processing and learning from data over an extended period, often indefinitely, without requiring constant reconfiguration or retraining. This approach leverages continuous data ingestion and model updates to adapt to new information, improving accuracy and relevance over time. Unlike traditional computing models that may have a fixed operational lifespan, lifetime computing emphasizes the ongoing evolution and enhancement of computational capabilities through persistent learning and adaptation, allowing systems to remain effective and up-to-date in dynamic environments. This paradigm is particularly valuable in scenarios where data is continuously generated, such as in IoT applications, real-time analytics, and personalized services.
