Research
Research Field
UNIST AIGS
Helping People, Driving Innovation,
and Advancing Industry through AI
EfficientAI
- Overcoming Data Scarcity
- AI technology that efficiently utilizes data to achieve optimal performance.
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- Multi-task Learning
- Human-in-loop & Active Learning
- Federated Learning
- Learning-based Optimization
- Continual Learning
- Learning-based Optimization
General-PurposeAI
- Developing General-Purpose AI (AGI)
- AI technology that discovers knowledge independently by reasoning causal relationships
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- Automated Machine Learning
- Causal Learning
- Meta-Learning
- Multi-Modal Learning
- Generative Models
RobustAI
- Ensuring Reliable AI Predictions
- Robust AI capable of adapting reliably to new tasks
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- Robust Learning
- Semi-supervised Learning
- Unsupervised Learning
Task
Accumulating future AI core technologies through innovative
collaborative research by integrating Core AI and applied research

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Resource Managemen

Developing dynamic resource management systems for deep learning
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Systems

Developing AI software and hardware accelerator systems for autonomous driving
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Communications

Developing AI-based next-generation intelligent communication systems
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Embedded AI

Efficient AI technologies for on-device and edge devices
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Finance

Developing AI-based asset management models for investment
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Natural Sciences

Developing new materials and conducting astronomical research using AI
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Climate & Disaster AI

Conducting climate research using AI
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3D Vision

Developing next-generation 3D visual intelligence technologies
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Robotics

Developing next-generation intelligent robot (agent) technologies
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Healthcare

Developing robust and generalizable AI technologies for bioelectrical signal processing
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Transportation & Logistics

Developing next-generation AI technologies for transportation
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Manufacturing

Developing learning-based manufacturing optimization technologies
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Security

Developing safe AI for personal data protection and software-verified AI for reliability enhancement
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NLP & Multimodal AI

Developing next-generation multimodal interactive dialogue model technologies
- Conducting research on 10 high-impact applied topics
- Promoting collaborative research across these topics
- Securing core AI technologies for applied research through cooperation among Core AI areas
