Adaptive calibration is a research area within the field of computer science and artificial intelligence that focuses on developing methods and algorithms for automatically adjusting the parameters of a model or system in response to changes in the environment or input data. This allows the model to remain accurate and effective over time, even as conditions change. Adaptive calibration is commonly used in machine learning, signal processing, and sensor networks to improve the reliability and performance of systems in dynamic or uncertain environments.