More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems.

Abstract: Phase information is essential for accurate antenna characterization, yet it is considerably more difficult to obtain than amplitude, often requiring costly and complex measurement setups.

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Abstract: In this article, an adaptive accelerated derivative-free optimization algorithm is developed. A composition of noncommutative maps based on objective function evaluations is used to ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.