Theta welcomes Sogang University as the newest EdgeCloud customer, expanding its reach in the Korean market

We’re pleased to announce EdgeCloud’s latest customer, Sogang University’s Language & Data Intelligence Laboratory led by Professor Buru Chang, which is joining a network of twenty EdgeCloud customers spanning academia, enterprise, esports, and traditional sports industries.

Sogang University adds to Theta’s growing network of academic collaborators, empowering researchers with the first hybrid cloud-edge GPU computing platform. As one of South Korea’s leading AI research institutions, Sogang University joins an elite group of academic partners, including Seoul National University, KAIST, Korea University, and Yonsei University, and other distinguished institutions worldwide, all leveraging Theta EdgeCloud to solve AI training and inference challenges.

About Dr. Buru Chang and the Language & Data Intelligence Laboratory

Dr. Buru Chang is an Assistant Professor in the Department of Artificial Intelligence at Sogang University, where he leads the Language & Data Intelligence Laboratory. He earned his Ph.D. in Computer Science from Korea University and gained industry experience as a machine learning research scientist at Hyperconnect, where he focused on advanced AI solutions.

The Language & Data Intelligence Laboratory specializes in natural language processing (NLP), multimodal machine learning, and data mining. Under Dr. Chang’s leadership, the lab has achieved significant recognition, publishing papers in leading AI conferences such as AAAI, CVPR, ECCV, EMNLP, and WSDM. The lab’s research focuses on various AI areas including dialogue generation, semantic diversity, and multimodal AI applications, making it a hub for cutting-edge AI innovation.

“We selected the EdgeCloud platform by introduction from my fellow colleagues in academia. It seems like Theta has truly gotten significant market traction both in the US and especially here in South Korea. After thorough evaluation of the EdgeCloud AI platform, we’ve been impressed with how easy it is to use and scale effortlessly. We’re looking forward to exploring new frontiers in AI research by utilizing Theta’s decentralized infrastructure over the next few years.” — Professor Buru Chang

ESREAL (“Exploiting Semantic Reconstruction to mitigate Hallucinations”), a novel framework developed by Professor Chang and the SNU team, aimed at addressing hallucinations in vision-language models (VLMs), particularly in generating long captions.

Advancing AI Research with Theta EdgeCloud

With access to Theta EdgeCloud, the Language & Data Intelligence Lab will harness scalable, cost-effective and easy-to-use GPU computing power to accelerate its pioneering work in:

• NLP and Multimodal AI: Advancing models for open-domain dialogue, semantic diversity, and multimodal data analysis.
• Generative AI and Edge Computing: Developing real-time AI solutions for media processing and robust deployment on edge devices.
• Efficient AI Workflows: Enhancing model training and inference efficiency through Theta’s hybrid GPU infrastructure.