The Artificial Intelligence focuses on the study of various technologies, software, and systems that implement human learning, reasoning, and perception abilities in computers. The department aims to produce interdisciplinary leaders in artificial intelligence with a deep understanding of advanced theories and world-class practical capabilities.

Undergraduate Curriculum

The undergraduate curriculum emphasizes a strong foundation in 'Artificial Intelligence theory/practice, centered on software engineering/mathematics'. It also includes advanced education focused on visual, linguistic, and auditory intelligence, primarily through courses linked to the AI graduate program. Problem-solving-centered education and encouragement of double majoring with various other majors within the university are also promoted.

Graduate Curriculum and Research

The graduate curriculum and research primarily focus on intelligent perceptual abilities related to vision, audition, language, and IoT communication, based on multi-sensor information. It also centers around advanced AI amdorithms such as 'multi-modal deep amdorithms' and 'AI deep amdorithms' including Explainable AI (XAI), Metalearning, Symbolic knowledge Graph, and Inductive Learning techniques. Additionally, it encompasses essential technologies for efficient AI system implementation, such as GPU optimization and parallel learning.