AI & machine learning

Research

Research Areas

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Research

Research Areas

Home > Research > Research Areas > AI & machine learning

Research Areas

Home > Research > Research Areas > AI & machine learning

Research Goals and Vision

The AI and machine learning research at the KAIST School of Electrical Engineering aims to develop advanced algorithms and systems that leverage AI to solve complex problems across various domains. This research encompasses AI architecture and algorithms, multimedia signal processing, communication, control and robotic systems, AI theory, devices and systems, and computing.

Key Research Areas

AI Architecture & Algorithm

Advanced AI Algorithms : Developing state-of-the-art AI algorithms to enhance performance and efficiency in diverse applications.
Scalable AI Architectures : Designing scalable architectures that can handle large datasets and complex models to provide robust AI solutions.

관련교수

FACULTIES

AI in Multimedia Signal Processing

Image and Video Processing : Applying AI techniques to improve image and video analysis, including enhancement, recognition, and generation.
Audio and Speech Processing : Using machine learning for speech recognition, synthesis, and audio signal enhancement.

관련교수

FACULTIES

AI in Communication

Network Optimization : Leveraging AI to optimize communication networks for better performance, reliability, and security.
Signal Processing : Enhancing signal processing techniques using AI for improved data transmission and reception.

관련교수

FACULTIES

AI in Control & Robotic Systems

Autonomous Robotics : Developing AI-driven autonomous robots capable of navigation, manipulation, and interaction in dynamic environments.
Control Systems : Applying AI to design adaptive and intelligent control systems for various industrial applications.

관련교수

FACULTIES

AI Theory

Foundational Research : Exploring the theoretical foundations of AI, including learning theories, optimization, and statistical models.
Ethics and Fairness : Investigating ethical considerations and ensuring fairness in AI decision-making processes.

관련교수

FACULTIES

AI in Devices and Systems

Smart Devices : Integrating AI into smart devices to enhance functionality and user experience.
Embedded AI Systems : Developing embedded systems that utilize AI for real-time processing and decision-making.

관련교수

FACULTIES

AI in Computing

High-Performance Computing : Utilizing AI to optimize computational processes and improve the efficiency of high-performance computing systems.
Distributed AI Systems : Researching distributed AI systems that enable collaborative and decentralized processing.

관련교수

FACULTIES