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AI-EDGE Managing Director Prof. Jia (Kevin) Liu Interviewed on the “Conversations on Applied AI” Podcast
Prof. Jia (Kevin) Liu, AI-EDGE’s Managing Director, is featured on a recent episode on the “Conversations on Applied AI” podcast, interviewed by the podcast host Justin Grammens. In this interview, Prof. Liu talked about the vision, the core research areas, and the eco-system of the AI-EDGE...
Professor Jia (Kevin) Liu of AI-EDGE Wins 2024 DARPA Young Faculty Award (YFA)
Jia (Kevin) Liu, a faculty investigator and the Managing Director of AI-EDGE, has been awarded the prestigious Defense Advanced Research Projects Agency (DARPA) Young Faculty Award (YFA) for 2024. Liu is currently an Associate Professor in the Department of Electrical and Computer Engineering at The...
AI-EDGE Establishes Two New International Collaboration Programs with Sungkyunkwan University and Yonsei University in South Korea
The NSF AI-EDGE Institute has announced two new international collaboration programs partnered through its lead University (OSU) with two of the most prestigious universities in South Korea: Yonsei University and Sungkyunkwan University (SKKU). These partnerships aim to advance research in...
AI-EDGE AIMACCS 2024 Workshop a Great Success!
The AI-EDGE AIMACCS 2024 Workshop, which was held on June 4-5, 2024 in the Pomerene Hall at The Ohio State University, was a great success!! The AIMACCS'24 workshop had 114 participants and featured 13 keynote talks: 1. Prof. P. R. Kumar from Texas A&M University; 2. Dr. Junyi Li from Qualcomm; 3...
INFOCOM’24 Panel on AI+Network Showcasing AI-EDGE Researchers
AI-EDGE researchers showcased a strong presence at the INFOCOM’24 panel titled “AI+Network: Look Back, Look Forward,” which was held in Vancouver, Canada, May 22, 2024. The panel was chaired by AI-EDGE’s investigator, Prof. Chuiyi Peng from Purdue University. AI-EDGE’s director, Prof. Ness Shroff...
Communications of ACM highlighted AI-EDGE researchers' work
Communications of ACM highlighted AI-EDGE the work of researchers Peizhong Ju, Lin Sen, Yingbin Liang, and Ness Shroff on understanding and mitigating the phenomenon of catastrophic forgetting in AI systems.

Points of Pride

11 Top Research Universities
7 Leading Companies and DoD Research Labs
28 Key Investigators in ML/AI
$20M Funding by NSF
AI-EDGE Ecosystem

The AI-EDGE Institute is one of the $20M AI Institutes funded by the National Science Foundation and the Department of Homeland Security to  create a research, education, knowledge transfer, and workforce development environment that will help develop the United State’s technological leadership in future generation edge networks (6G and beyond) and distributed AI for many decades to come.

Institute Vision

Research:

Networking and AI are two of the most transformative IT technologies --- helping to better people’s lives, contributing to national economic competitiveness, national security, and national defense. The Institute will exploit the synergies between networking and AI to design the next generation of edge networks (6G and beyond) that are highly efficient, reliable, robust, and secure. A new distributed intelligence plane will be developed to ensure that these networks are self-healing, adaptive, and self-optimized. The future of AI is distributed because AI will increasingly be implemented across a diverse set of edge devices. These intelligent and adaptive networks will in turn unleash the power of collaboration to solve long-standing distributed AI challenges, making AI more efficient, interactive, and privacy preserving. The Institute will develop the key underlying technologies for distributed and networked intelligence to enable a host of future transformative applications such as intelligent transportation, remote healthcare, distributed robotics, and smart aerospace. 

Education and Workforce Development:

It is a national priority to educate students, professionals, and practitioners in AI and networks, and substantially grow and diversify the workforce. The Institute will develop novel, efficient, and modular ways of creating and delivering education content and curricula at scale, and to spearhead a program that helps build a large diverse workforce in AI and networks spanning K-12 to university students and faculty.