👉 Inserted computing refers to the integration of computational resources, such as software applications, data processing capabilities, and specialized hardware, directly into devices or systems to enhance their functionality and efficiency. This approach allows for real-time data processing, improved decision-making capabilities, and more personalized user experiences by embedding intelligent computing elements within the hardware itself. For example, smart home devices use inserted computing to process sensor data locally, enabling instant responses and reducing reliance on cloud services. Similarly, embedded systems in vehicles utilize inserted computing for tasks like autonomous driving, where immediate data analysis is crucial for safety and performance. By bringing computation closer to the source of data generation, inserted computing optimizes performance, reduces latency, and enhances privacy by minimizing data transmission.
