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NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE) is a grant from the National Science Foundation (NSF) that funds research at the intersection of artificial intelligence, edge computing, and next-generation wireless networks.
Based at Ohio State University and led by a multidisciplinary team, AI-EDGE develops foundational AI methods for distributed intelligence in future mobile systems, including reinforcement learning, stochastic systems, and mobile edge computing. The institute emphasizes workforce development and diversity in the next generation of AI and networking researchers.
Eligible applicants are academic institutions and for-profit organizations in partnership with universities.
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U.S. National Science Foundation AI Institute for Future Edge Networks and Distributed Intelligence Lei Ying receives the David E. Liddle Research Excellence Award Professor Lei Ying of the University of Michigan has received the David E. Liddle Research Excellence Award, which recognizes researchers who have made a profound impact in their field and its development.
His work spans complex stochastic systems, big data, and reinforcement learning, with... AI-EDGE co-PI Gauri Joshi received the Young Alumna Achiever Award AI-EDGE co-PI Gauri Joshi received the Young Alumna Achiever Award (YAAA) from her alma mater, Indian Institute of Technology, Bombay.
AI-EDGE director Shroff with team members Chowdhury and Ghosh receive the best paper award ACM Mobihoc 2025 In October of this year, AI-EDGE director Professor Ness Shroff from The Ohio State University in collaboration with Kubra Alemdar (Northeastern University), Arnob Ghosh (New Jersey Institute of Technology), Vini Chaudhary, (Mississippi State University), and Kaushik Chowdhury (UT Austin) received...
Detecting Fake Base Stations with AI: AI-EDGE Researchers Develop FBSDetector In a significant leap for mobile security, researchers at Purdue University have developed a practical solution to defend against fake cell towers—also known as fake base stations, rogue base stations, or false base stations—used by attackers to intercept calls, texts, and data from unsuspecting...
NSF AI-EDGE Institute and the University of Sydney Forge Strategic Partnership to Advance Artificial Intelligence and Edge Networking Research The National Science Foundation’s AI Institute for Future Edge Networks and Distributed Intelligence ( NSF AI-EDGE), is pleased to announce a partnership with the University of Sydney.
This collaboration marks an important step in strengthening international research ties in the areas of artificial... AI-EDGE AIMACCS 2025 Workshop a Great Success Again! Following our inaugural AI-EDGE AIMACCS Workshop in 2024, the second AI-EDGE AIMACCS Workshop, which was held on May 8-9, 2025 in the Pomerene Hall at The Ohio State University, was a great success again!
The AIMACCS'25 workshop had 117 participants and featured 15 keynote talks: Prof. Mor Hachol...
Top US Research Universities Top International University Collaborators Leading Companies and Government Labs Key Investigators in ML/AI 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.
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 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 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 nationwide workforce in AI and networks spanning K-12 to university students and faculty.
Based on current listing details, eligibility includes: For-profit organizations, including small businesses, in partnership with academic institutions. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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