Michigan State University Joins Theta EdgeCloud for AI Research

Monday, January 20, 2025 12:00 AM
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Michigan State University Joins Theta EdgeCloud for AI Research cover

Michigan State University (MSU) has officially adopted the EdgeCloud platform for AI research, making it the second academic institution in the United States to join this initiative, following the University of Oregon. The SEIT Lab, led by Associate Professor Qiben Yan, will utilize Theta’s decentralized GPU infrastructure to foster advancements in AI, cybersecurity, and distributed systems. As a prominent Tier 1 research institution, MSU’s collaboration adds significant value to Theta’s academic partnerships in the U.S. Furthermore, EdgeCloud plans to enhance its cloud-based GPU infrastructure across various locations, including California, Texas, and the Midwest, with a beta release of its hybrid cloud-edge computing platform scheduled for June 2025.

Professor Qiben Yan is a distinguished expert in IoT security, AI privacy, blockchain resilience, and cybersecurity. His SEIT Lab is at the forefront of research aimed at protecting connected devices and networks from sophisticated cyber threats. Yan’s work has been recognized at prestigious conferences and has received notable funding from the National Science Foundation (NSF). He expressed enthusiasm about the collaboration with Theta, emphasizing that the EdgeCloud platform will facilitate the scaling of AI projects that demand high-performance computing while also pushing the boundaries of decentralized technology in secure and intelligent systems for IoT and AI applications.

The SEIT Lab is dedicated to creating secure, intelligent systems with a focus on distributed systems, federated learning, and blockchain technologies. Recent projects include NSF-funded research on adversarially robust AI for speech recognition and innovative frameworks for secure smart contracts. By adopting Theta EdgeCloud, the SEIT Lab will benefit from a decentralized cloud platform that significantly accelerates the training and deployment of AI models, reducing GPU resource setup time by up to five times compared to traditional providers. This partnership not only strengthens Theta’s academic network but also highlights its commitment to addressing complex challenges across various fields, including media, healthcare, bioinformatics, and finance.

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