Time Constraint

Time constraints are a critical factor in numerous computational and decision-making processes, driving research into efficient algorithms and architectures that optimize performance within limited time budgets. Current work focuses on developing time-bound algorithms for diverse applications, including neural architecture search for resource-constrained devices (e.g., TinyML), robust reinforcement learning under uncertainty, and real-time authentication in minimalist wearables. These advancements are significant for improving the efficiency and practicality of AI systems across various domains, from edge computing and robotics to healthcare and personalized devices.