Intelligent System

Intelligent systems research aims to create artificial systems capable of exhibiting intelligent behavior, encompassing tasks from object recognition to complex decision-making. Current research heavily utilizes large language models (LLMs) and other deep learning architectures, focusing on areas like improving model accuracy, mitigating bias, and enhancing explainability (XAI). This field is crucial for advancing various applications, from healthcare and autonomous systems to software engineering and digital humanities, by automating tasks, improving efficiency, and providing new analytical capabilities.