Empowering a Million Minds on the Edge of AI

Join the movement to make edge AI knowledge accessible to all—through live workshops, real-world challenges, and learning experiences designed for the future.

The EDGE AI FOUNDATION is not just launching a program—it’s building a movement to reshape how edge AI is taught, understood, and applied. We're making leading-edge knowledge accessible to students, professionals, and developers around the world. Backed by a global network of over 100 Fortune 500 technology partners—and with more than 500,000 individuals already reached—we’re building a hands-on learning ecosystem designed to meet the urgency and opportunity of this technological era. Our vision reshapes edge AI education with an engaging, hands-on approach that includes:

EDGE AI Scholarship Program

The EDGE AI SCHOLARSHIP program underwrites programs to accelerate learning and literacy around the world, including fellowships, travel grants and education programs like the one we recently supported in Malawi:

The EDGE AI Scholarship Program is supported by our Strategic Partners as well as our Scholarship Partners who provide value-added services to our community while contributing to the growth of the fund.

EDGE AI Challenges

A worldwide challenge series that takes a flexible, solutions-centric approach to edge AI. This program pushes the boundaries of innovation, encouraging participants from around the world.

We are partnering with Hackster and embedUR to bring these challenges to a worldwide ecosystem of developers in industry and academia.

Check out out latest EDGE AI Challenge -> Wake Vision 2!

EDGE AIP - Academia and Industry Partnership

The EDGE Academia-Industry Partnership (EDGE AIP) now bridges the academic world and edge AI industry by empowering everyone with knowledge and opportunities from tinyML to the edge of AI.

EDGE Academia-Industry Leadership team navigates the educational opportunities for our community worldwide:

Vijay Janapa Reddi (co-chair) is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard, he was an Associate Professor at The University of Texas at Austin in the Department of Electrical and Computer Engineering.

Hajar Mousannif is an associate professor and coordinator of the Master program in Data Science within the department of computer science at the Faculty of Sciences Semlalia (Cadi Ayyad University, Morocco). She holds a PhD degree in computer Sciences on her work on Wireless Sensor Networks and Vehicular Networks.

Marcelo Rovai (co-chair of tinyML4D) was born in São Paulo and holds a Master’s degree in Data Science by the UDD in Chile, as well as an MBA by IBMEC (INSPER) in Brazil. He graduated in 1982 as an Engineer from UNIFEI with a specialization from Poli/USP, both institutions are located in Brazil.

Marian Verhelst is a professor at the Electrical Engineering department of KU Leuven. Previously, from 2008 till 2011, she worked as a research scientist in the Radio Integration Research Lab of Intel Labs, Hillsboro OR, and in 2005 she was a visiting scholar at the Berkeley Wireless Research Center(BWRC) of UC Berkeley.

Brian Plancher (co-chair) (chair of tinyML EDU) is an Assistant Professor of Computer Science at Barnard College, Columbia University, where he leads the Accessible and Accelerated Robotics Lab (A²R Lab). He holds affiliate positions in the Department of Computer Science and Electrical Engineering at the Fu Foundation School of Engineering and Applied Science, Columbia University.

Eiman Kanjo Prof. Eiman Kanjo is a Professor of Pervasive Sensing and the head of the Smart Sensing Lab. Eiman has been appointed as the Provost’s Visiting Professor in tinyML at Imperial College London starting- October 2023. She has recently been honored as one of the Top 50 Women in Engineering by the Women in Engineering Society.

Marco Zennaro (co-chair of tinyML4D) is a research scientist at the Abdus Salam International Centre for Theoretical Physics in Trieste, Italy, where he coordinates the Science, Technology and Innovation Unit. He received his PhD from the KTH-Royal Institute of Technology, Stockholm, and his MSc degree in Electronic Engineering from the University of Trieste.

EDGE AI Career

In cooperation with our Scholarship Partner 5V, EDGE AI Career is a new livestream series dedicated to exploring and illuminating career paths in the edge AI industry. We’ll bring insights from industry leaders, share success stories, and provide guidance on how to thrive in this rapidly evolving field.

As part of our commitment to building a strong talent pipeline, we’ll also connect learners with career opportunities, industry mentors, and hiring partners looking for the next wave of edge AI innovators.