Theta Labs, Kangwon National University teamed hands to improve AI with EdgeCloud

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Theta Labs expands AI research partnerships while Kangwon National University has joined the decentralized GPU network Theta EdgeCloud.
San Francisco, CA – 5. March 2025. – Theta Labs, Global Leader in Decentralized cloud infrastructure for Ai, Mediaand fun, announces her last academic customers, Kangwon National University Data Analytics and Machine Apologies (Dami) Laboratoryled Professor Kieongpil Kang.
Bringing to Kangwon AS National University is 23. AI and video client, achieving significantly over 85% of GPU use rates and over 230 million tfuel locked by Elite Coster Coster operators.
Theta EdgeCloud is proud of a series of leading companies such as NHL teams in Las Vegas and the National University of Seoul, Seoul University, and Singapore’s renowned research institution NTU, spread their role and built-in applications in the field of improvement AI and Real World information on the progress of AI and the actual application.

About Professor Kieongpil Kang and Dami Lab
Professor Kieongpil Kang is an assistant professor at the Computer Science and Engineering in Kangwon National University, specializing in natural language processing (NLP), Mechanical learning and data mining. He deserved a doctorate. In Computer Science, from the University of Korea, where he studied under Professor Jaegul Chooom, and later he worked the teaching researcher on SK Telecom and the Center, Laboratories and Cladding before joining the Academy.
Data Analytics and Mechanical Intelligence (Dami) Laboratory at the Kangvon National University focuses on great research AI, with expertise in natural language, multimodal AI and knowledge extraction.
Laboratory is focused on:
- Natural language processing and large language models (LLMS): research finely adjustment, a chain of thought (cots), generations that increases in taking over and alignment. Dami Lab also explores performance optimization in LLM agents and simulation learning.
- Mechanical learning and deep learning: an adsionsal challenge of spectical data installation and developing solutions for deep learning for applications in the real world.
- Mining of data and attack insiders: Application of machine learning and analytics in machines and fields in fields such as social sciences and medicine AI, revealing insight to combat complex problems with complex problems.

Promotion and research with Theta EdgeCloud
Lady Laboratory will bump Theta EdgeCloud, the first hybrid Cloud-EDGE GPU computer platform, in order to start innovation in natural language processing (NLP), machine learning and data mining. Through this cooperation, the researchers of Dami laborator will also receive access to Decentralized GPUs, providing economical, scalable and computer power to improve the LLM training, multi-agent and systems and multi-agents and systems and multi-demand applications for learning.
- Encance NLP and LLM models: Trains to advanced language models with scalable, high-performance GPUs.
- Develop a robust multiple AI systems: experiment with multi-agent discussational models and opponent ai.
- Power AI on the edge: Distribution AI models in real-time areas using hybrid architecture theta hybrid edge-edge.
- Optimize training efficiency AI: Use Distributed Computer Framework Theta to start economical, large experiments AI.
Addressing these events, “we rated Edgegloud professor for several weeks, and we are very impressed as our students, researchers and staff continue to distribute the GPU architecture and looked at how Dami Lab can speed up NLP and Multimodal AI Research while optimizing the performance model for regulations in the real world. “
Mitch Liu, co-founder and CEO of Theta Laboratory, “Bringing National University of Kangwon, as well as to the cost of over 85% of the costs of the GPU. Our goal is 2025. Years of our customer base, drive over 95% of the use rate Lock over 2 billion tfuel through our elite edge node operators. “
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2025-03-05 16:00:00