👉 Adaptation computing refers to the dynamic adjustment of computational resources, algorithms, and system behaviors to better suit changing workloads, user needs, or environmental conditions. This approach aims to optimize performance, efficiency, and resource utilization by intelligently scaling resources up or down in real-time. For instance, cloud computing platforms use adaptation computing to allocate more processing power during peak usage and reduce it when demand is low. Similarly, machine learning models can adapt their parameters or architectures to improve accuracy and speed under varying data conditions. By continuously monitoring and adjusting, adaptation computing ensures that systems remain responsive and effective in diverse and unpredictable scenarios.
