- Sungkyunkwan University’s AI & Media Lab (AIM Lab) adopted Theta EdgeCloud to enhance AI and machine learning research.
- The AIM Lab, led by Professor Sungeun Hong, is the 32nd academic institution globally to use Theta’s decentralized GPU infrastructure.
- This partnership supports advanced research in areas such as multimodal learning, 3D vision, and human-AI alignment.
- Research at AIM Lab, backed by Samsung Group, includes recognized work like a CVPR 2025 highlight paper and a paper in Pattern Recognition journal.
- Theta EdgeCloud provides on-demand, high-performance GPU resources, enabling faster and cost-efficient research for the AIM Lab.
Sungkyunkwan University’s AI & Media Lab (AIM Lab), directed by Professor Sungeun Hong, has integrated Theta EdgeCloud into its research infrastructure. The adoption places AIM Lab among 32 academic institutions worldwide using the decentralized GPU system to support Artificial Intelligence (AI) and machine learning projects.
The lab will use Theta EdgeCloud’s decentralized, high-performance GPU resources to accelerate research on projects involving multimodal learning, domain adaptation, 3D vision, and human-AI alignment. According to Professor Hong, AIM Lab will gain greater computing flexibility and capacity for complex training and testing. He stated, “Theta EdgeCloud is now the clear leader in decentralized GPU infrastructure for research institutions worldwide. We’re excited to get the computing flexibility and scale we need to push the boundaries of multimodal AI.”
AIM Lab’s notable work includes the Samsung-supported paper “Question-Aware Gaussian Experts for Audio-Visual Question Answering”, which proposes a new method for blending audio and visual information using question-adaptive Gaussian experts. This research will be featured at CVPR 2025—one of the leading AI conferences—scheduled for June 11–15 in Nashville, Tennessee. Another recent achievement is the paper “Memory-Efficient Cross-Modal Attention for RGB-X Segmentation and Crowd Counting”, published in the journal Pattern Recognition, which introduces a memory-efficient technique for handling multimodal image data. This work has practical uses in robotics and smart infrastructure.
Professor Sungeun Hong, who previously worked at SK Telecom’s T-Brain AI Center, serves as an associate professor at Sungkyunkwan University in the Department of Immersive Media Engineering. He is recognized for contributions in multimodal AI and robot vision, with his lab’s research frequently appearing in international conferences and journals such as CVPR, ICCV, and INTERSPEECH.
The lab’s partnership with Samsung Group highlights the strong corporate connection supporting its AI research environment. AIM Lab joins other institutions that utilize Theta EdgeCloud, including Stanford University, Seoul National University, KAIST, University of Oregon, NTU Singapore, and Brandeis University. Through this collaboration, AIM Lab can conduct large-scale training of vision-language models, run real-time robotics studies, and deploy advanced AI systems in practical scenarios.
This initiative connects Sungkyunkwan University with a global network of leaders in AI innovation, strengthening its position in next-generation research supported by scalable, cost-effective technology.
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