Kyung Hee University Joins Theta EdgeCloud as 10th Academic Partner in AI Network

Expanding academic deployment of decentralized AI infrastructure with leading South Korean university partnership

  • Kyung Hee University joins as the tenth academic institution in Theta’s EdgeCloud AI network, marking significant expansion in South Korea‘s academic sector.
  • Professor Sung-Ho Bae’s Machine Learning and Visual Computing Lab will integrate Theta’s GPU computing platform for AI research.
  • The partnership adds to Theta’s existing collaborations with major institutions including Seoul National University and KAIST.
  • MLVC Lab has published four papers in 2024 at major conferences including ICASSP, AAAI, BMVC, and WACV.
  • The collaboration aims to advance AI research in media processing, edge computing, and model compression.

THETA Network Expands Academic Presence with Kyung Hee University Partnership

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Theta Labs has added Kyung Hee University to its EdgeCloud AI network, marking its tenth academic partnership and strengthening its position in South Korea‘s institutional market. The collaboration centers on the university’s Machine Learning and Visual Computing Lab, led by MIT CSAIL alumnus Professor Sung-Ho Bae.

Research Credentials and Impact

Professor Bae, who leads the integration with Theta’s platform, brings substantial credentials to the partnership, including:

  • Over 200 research publications and multiple patents
  • 2024 Adobe Research Gift Award recipient
  • Multiple Qualcomm Innovation Awards
  • Microsoft Research Asia Fellowship Nomination

The MLVC Lab has maintained strong commercial relationships with LG Energy Solutions, HANCOM, and SK Telecom, while publishing research at prominent AI conferences. Their 2024 publications span ICASSP, AAAI, BMVC, and WACV, focusing on practical AI applications.

Technical Implementation

The partnership enables Kyung Hee researchers to access Theta’s distributed GPU computing resources, with three primary focus areas:

  • AI model training optimization using hybrid cloud-edge architecture
  • Real-time media processing applications
  • Model compression techniques for edge deployment

_”The scalability, performance, and affordability of Theta’s hybrid GPU computing are unmatched,”_ stated Professor Bae, highlighting the platform’s potential for resource-intensive AI projects.

The collaboration joins Theta’s existing network of academic partners, including the University of Oregon, Seoul National University, and Korea University, establishing a substantial presence in academic GPU computing infrastructure.

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