👉 Selective computing is a computational paradigm that focuses on processing only the most relevant or necessary data, rather than handling all available information. This approach reduces computational complexity and resource usage by filtering out irrelevant data early in the processing pipeline, which can significantly enhance efficiency and performance. It is particularly useful in scenarios with large datasets or real-time processing requirements, where only a subset of data is needed for decision-making or further analysis. By concentrating on pertinent information, selective computing aims to improve speed and reduce energy consumption while maintaining or even improving accuracy.
