Adaptive System

Adaptive systems are designed to autonomously adjust their behavior in response to changing environments or user needs, aiming to optimize performance and robustness. Current research emphasizes personalized models, often leveraging machine learning techniques like online reinforcement learning and various neural network architectures (including transformers), to achieve this adaptation in diverse applications such as stress detection, manufacturing optimization, and cybersecurity. These advancements are significant because they enable more efficient and effective solutions across numerous domains, improving accuracy, scalability, and explainability in complex systems.