Welcome everyone!
As the academic year draws toward its conclusion, the focus across labs and lecture halls shifts from theoretical exploration to the rigorous challenge of implementation and real-world impact. This month, our newsletter celebrates that transition—highlighting the vital bridge between foundational research and the distributed intelligence systems of tomorrow. From our upcoming gathering in London to new frameworks for hardware-aware design, we are proud to showcase content that honors the academic roots of Edge AI. Inside, you will find:
- Global Collaboration: Details on our June event in London, featuring the Academic Research Expo and a special academic discount.
- Academic Spotlight: Dr. Dhireesha Kudithipudi and the NUAI Lab.
- Technical Frameworks: A new white paper on-device inference.
- Primary Resources: Access to the new 2026 Edge AI Technology Report.
- New Resources: The launch of our Advanced Sensing certification.
Thank you for your continued dedication to advancing the science of Edge AI. We look forward to seeing many of you in London next month to share in the latest breakthroughs.
Community & Connection: Join Us at EDGE AI London 2026
EDGE AI London (June 8-9) serves as a premier venue for the European research community to translate lab-based breakthroughs into industrial-scale systems. The event features a dedicated Academic Research Expo and technical tracks co-curated by our Academic-Industry Partnership (AIP). For emerging scholars, the new Career EDGE area offers a welcoming environment for speed mentoring and collaborative roundtables with leaders from the semiconductor and aerospace sectors. We have added a special academic discount (ACADEMIA80) for our University partners and their students. See you there!
Academic Spotlight: Dr. Dhireesha Kudithipudi
We are proud to welcome Dr. Dhireesha Kudithipudi to the EDGE AI FOUNDATION Academia & Industry Partnership. Dr. Kudithipudi is a computer engineer and scientist with a passion for revolutionizing AI through brain-inspired computing. Currently serving as the founding director of the MATRIX AI Consortium for Human Well-Being at the University of Texas at San Antonio, Dr. Kudithipudi leads a dynamic team of 85+ researchers committed to addressing some of the world’s most challenging issues in AI. Dr. Kudithipudi is a renowned expert in Neuro-inspired AI and neuromorphic computing, with 20 years of experience. With a substantial $37.61 Million portfolio of research, she is leading national AI initiatives, including the NSF AI Partner Institute, The Neuromorphic Commons, co-PI on AFOSR and DOE centers, and leading partnership with NIH AIM-AHEAD. A strong advocate for advancing AI R&D, Dr. Kudithipudi collaborates with federal scientific and policy leaders to develop national roadmaps for AI, microelectronics, and chip-design research. She contributed to a bipartisan U.S. policy white paper on AI R&D investment and regularly shares her expertise as a speaker in Capitol Hill AI roundtable discussions. She also advises AI startups as a consultant. She has been recognized as the Rochester Technology Woman of the Year in 2018, Clare Boothe Luce Fellow for Women in Higher Education, and 2022 San Antonio Lights Award.
Technical Insight: Roadmaps for Decentralized Intelligence
The Foundation’s latest whitepaper, 2026 and Beyond: The Edge AI Transformation, bridges the gap between laboratory research and hardware-aware deployment. Rooted in the fundamental academic principles of hardware-software co-design, the video introduces the BLERP framework (Bandwidth, Latency, Economics, Reliability, Privacy) as a formal rubric for evaluating edge-winning use cases. This resource is particularly valuable for faculty and graduate researchers investigating the next generation of Neural Processing Units (NPUs) and the mathematical efficiency gains in on-device inference. Explore the full breakdown here and consider incorporating these frameworks into your upcoming research or course syllabi.
Research Resource: The 2026 Edge AI Technology Report
Developed in collaboration with a global consortium of partners and featuring an introduction by Pete Bernard (CEO, EDGE AI FOUNDATION), the 2026 Edge AI Technology Report is an authoritative, peer-reviewed exploration of the state of the art in distributed intelligence. The report provides the rigorous data and architectural analysis necessary for comprehensive literature reviews, focusing specifically on Small Language Models (SLMs) and Agentic Edge AI. It offers a deep dive into the “Trust Stack”—security, privacy, and explainability—essential for any researcher working within sovereign or sensitive data environments. Download the complete 2026 Report to access the benchmarks and architectural trends defining the field this year.
Professional Development: New Edge AI Sensing Certification
The Foundation’s certification program honors its academic heritage, having been designed in partnership with our academic and industry community to ensure a high standard of technical mastery. We are pleased to announce our newest credential: Edge AI Sensing & Multimodal Perception. This certification focuses on the complex synthesis of vision, audio, radar, and LiDAR data on resource-constrained devices, allowing students and professionals alike to validate their expertise in deploying multi-sensory AI.
Explore the certification catalog to see how these credentials can supplement your department’s professional development goals.
