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CodeV CVPR
AI-EDGE Investigator Kevin Liu’s Joint Work with Amazon and Univ. of Michigan Received CVPR’26 Oral Honor and CVPR Compute Transparency Champion Award
AI-EDGE Investigator Kevin Liu’s joint work with researchers from Amazon and University of Michigan titled “CodeV: Code with Images for Faithful Visual Reasoning via Tool-Aware Policy Optimization" has received the honor of Oral Presentation at CVPR 2026 (oral rate: 1%). This work has also received...
Gauri Joshi
AI-EDGE co-PI Gauri Joshi’s  FedNova Powers Google DeepMind’s Decoupled DiLoCo
Google DeepMind has released Decoupled DiLoCo, a framework that enables resilient distributed training across nodes with heterogeneous speeds and communication delays. Its weighted aggregation mechanism builds on FedNova (NeurIPS 2020), developed by AI-EDGE’s co-PI Gauri Joshi’s team to solve the...
SlideShow_YingLiu_Awards
AI-EDGE Investigators Lei Ying and Kevin Liu Received Research Excellence Awards
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...
Young Alumna Achiever Award
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.
MobiHoc 2025 Best Paper
AI-EDGE team receives best paper award at ACM Mobihoc'25
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...
Elisa Bertino
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...
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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 is leveraging 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 is being 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 is developing 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:

Educating the next generation of AI and networks professionals is a national priority. The Institute is developing novel, efficient, and modular ways of creating and delivering education content and curricula at scale, and is spearheading a program that helps build a nationwide workforce in AI and networks spanning K-12 to university students and faculty.