Theta Labs, a global leader in decentralized cloud infrastructure for AI, media, and entertainment, proudly announces that Hanyang University’s Electromagnetics & Intelligent Design Lab (EIDL) has joined as its 18th customer, adding to its growing list of EdgeCloud AI customers. This further establishes EdgeCloud as the most widely adopted decentralized platform for advanced AI research powered by a hybrid cloud edge GPU architecture.
This collaboration strengthens Theta’s presence in the East Asia academia sector along with KAIST, Seoul National University, Yonsei University, Korea University, and seven other institutions in South Korea, as well as the University of Oregon in the United States. In addition, Theta’s corporate clients include The AI Lab, a renowned e-learning platform, Jamcoding, a leading coding education platform, and Liner, a global innovator in generative AI-powered search solutions. Notably, in March 2024, venture capital firm Andreessen Horowitz (a16z) ranked Liner fourth among generative AI services, following OpenAI’s ChatGPT.
Electromagnetics & Intelligent Design Lab (EIDL) : Advancing Photonics and Semiconductor Innovation
Hanyang University’s EIDL, led by Professor Haejun Chung, is internationally recognized for groundbreaking research in AI-driven photonics, inverse design, and semiconductor development. With support from research sponsors including Samsung, SK Hynix, and government-funded initiatives, EIDL drives advancements in:
- Metalenses: Ultra-thin, high-efficiency optical lenses for AR/VR and next-generation imaging.
- Waveguide photonic devices: Freeform-designed systems surpassing traditional photonics in scalability and performance.
- Advanced CMOS sensors: Nanophotonic solutions delivering higher image resolution and compact designs.
Figure illustrates the comprehensive process required for next-generation image sensor implementation, involving nano-fabrication, wave optics, electromagnetic AI, and deep learning. This research is supported by projects from Samsung Electronics and SK Hynix.
About Professor Haejun Chung and EIDL
Professor Haejun Chung is a globally recognized expert in photonics, computational electromagnetics, and AI-driven device design. His accomplishments include:
- Over 100 publications in high-impact journals like Advanced Photonics, Nanophotonics, and Optics Express.
- Recognition for highly cited work in metasurface and metalens design.
- Collaboration with world-renowned institutions including MIT, KAIST, and Yale University.
- Industry partnerships with Samsung and SK Hynix, driving innovation in semiconductor and photonic research.
Driving Research with Theta EdgeCloud AI
Through Theta EdgeCloud, EIDL will gain access to high-performance GPU resources essential for:
- Large-scale inverse design simulations to optimize photonic devices.
- AI-enhanced optical systems for diverse fields like AR/VR, telecommunications, and medical imaging.
- Developing broadband optical components that redefine scalability and efficiency in light manipulation.
Quotes
Professor Haejun Chung:
“Our collaboration with Theta Labs provides the computational power to significantly accelerate our AI research in photonic and semiconductor technologies,” said Professor Haejun Chung, Director of EIDL. “With Theta EdgeCloud’s high-performance hybrid GPU infrastructure, we can execute large-scale simulations and AI-driven optimizations at unmatched speed and scale. This partnership empowers us to push the boundaries of innovation in photonics, AR/VR optics, and next-generation semiconductor devices.”
Mitch Liu, co-founder and CEO of Theta Labs:
“Adding Hanyang University’s EIDL to our growing network of EdgeCloud customers is a significant milestone in global adoption and leverages EIDL’s industry partnerships with Samsung and SK Hynix,” said Mitch Liu, co-founder and CEO of Theta Labs. “We’re quickly approaching 20 customers across academia, enterprise, esports gaming and professional sports industries. These customers truly extend Theta’s mission to support cutting-edge AI research through our decentralized GPU cloud infrastructure.”
