Theta is proud to announce a new academic collaboration with Chung-Ang Universityâs Intelligent Information Processing Lab (IIPL), led by Professor Young Bin Kim. They join as Edgecloudâs 25th customer since platform launch in the summer of 2024, and EdgeCloud is now used by 4 of the Top 5 South Korea universities, top professional sports teams including NHLâs Las Vegas Knights and New Jersey Devils, and global esports teams FlyQuest and Evil Geniuses.
With Chung-Ang University joining the Theta EdgeCloud ecosystem, the platform continues to strengthen its role as a leading enabler of AI research and decentralized computing. IIPL(Intelligent Information Processing Lab) has built a global reputation in artificial intelligence, machine learning, and natural language processing (NLP), consistently contributing to top-tier AI conferences such as NAACL, EMNLP, ECCV, AAAI, and ICLR. This partnership underscores Thetaâs commitment to powering academic institutions globally with scalable, high-performance computing, which includes Seoul National University, KAIST, Korea University, Yonsei University, the University of Oregon, Michigan State University, and Singaporeâs NTU.
âWe evaluated multiple cloud based services from all the top tier providers and weâre excited to collaborate with Theta Labs to integrate EdgeCloud into our research,â said Professor Young Bin Kim, Associate Professor at Chung-Ang University. âWe had the easiest access to EdgeCloudâs GPU computing infrastructure and received the most responsive customer service compared to all other providers. Looking forward to accelerating our AI model training and pushing the boundaries of NLP and multimodal AI in low-resource environments.â
Empowering AI Research with Theta EdgeCloud
Chung-Ang Universityâs Intelligent Information Processing Lab (IIPL) specializes in low-resource AI, natural language processing (NLP), multimodal AI, and data-efficient machine learning. Through this collaboration, Theta EdgeCloud will provide scalable and cost-effective GPU compute power to support various AI researches in:
- LLM-driven Data Generation and Augmentation: Enhancing the efficiency and scalability of dataset generation and augmentation by leveraging large language models and the high-performance computational resources of Theta EdgeCloud.
- Domain Generalization for Low-resource and Multimodal Tasks: Strengthening AI resilience in diverse, resource-constrained environments while ensuring consistent and robust performance through Theta EdgeCloudâs optimized edge computing capabilities and infrastructure.
- Bias Mitigation and Enhanced Model Robustness: Ensuring fairness and reliability in AI systems by employing advanced bias mitigation techniques and robust model training methods, powered by Theta EdgeCloudâs computational resources.
Theta EdgeCloudâs hybrid cloud-edge GPU computing platform enables Chung-Ang Universityâs researchers to scale deep learning models efficiently, overcoming the high costs and computational bottlenecks of traditional centralized cloud providers.
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