Generative Edge AI

Generative Edge AI Working Group targets resource-restricted generative artificial intelligence technologies and applications including hardware, algorithms, tools, ecosystems, applications, and software solutions capable of enabling natural interaction on edge devices at extremely high energy efficiency, typically in the peta operations per W range and higher. it enables devising an unprecedented generation of powerful yet low-power neural processor units (NPUs), in-memory-computing, systems on a chip (SoCs) leveraging heterogeneous integration.

Charter & Goals

MISSION STATEMENT

The Edge AI and Generative AI Working Group empowers and connects academia, industry, and individuals to advance knowledge, collaboration, and innovation in Edge AI through education, community engagement, and recognition of groundbreaking achievements.

OBJECTIVES

  • Foster Knowledge Sharing: Facilitate the exchange of ideas and insights through seminars, tutorials, roundtable discussions, and whitepapers.
  • Promote Collaboration: Build meaningful connections between academia, industry, and individual innovators to drive collective progress in Edge AI and Generative AI.
  • Highlight Achievements: Recognize and amplify the contributions of members actively shaping the field to inspire and attract new participants.
  • Educate the Community: Provide accessible resources and updates on the latest breakthroughs, trends, and advancements in Edge AI and Generative AI.
  • Encourage Innovation: Nurture a culture of exploration and creativity by sharing demos, showcasing individual contributions, and supporting cutting-edge initiatives.

DELIVERABLES

Educational Content:

  • Tutorials, webinars, and seminars covering foundational and advanced topics in Edge AI and Generative AI.
  • Whitepapers and reports detailing industry trends, research advancements, and best practices.

Community Engagement Activities:

  • Roundtable discussions to foster dialogue between academia, industry, and individual contributors.
  • Networking events to build relationships and encourage collaboration.

Knowledge Dissemination:

  • Regular updates on breakthroughs, tools, and technologies in Edge AI and Generative AI.
  • Curated newsletters summarizing key developments and insights.

Recognition and Amplification:

  • Case studies and success stories showcasing member contributions and achievements.
  • Spotlight series on individuals and organizations advancing the field.

Practical Resources:

  • Demonstrations and walkthroughs of innovative Edge AI and Generative AI solutions.
  • Open-access repositories for tools, datasets, and frameworks.

Future-Oriented Initiatives:

  • A dynamic and evolving definition of Edge AI that reflects current advancements.
  • Strategic plans to attract new participants and foster innovation in the community.

Collaborative Publications:

  • Co-authored articles, research papers, or blog posts between academic and industry members.
  • Annual reviews summarizing the group’s impact and the field’s progress.

Members

Danilo Pietro Pau
Danilo Pietro Pau Chair Technical Director, IEEE, AAIA and ST Fellow STMicroelectronics
Roberto Morabito
Roberto Morabito Chair
Ed Doran
Ed Doran VP of Strategy EDGE AI FOUNDATION
Kiruba Sankaran Subramani
Kiruba Sankaran Subramani Senior Systems Engineer Silicon Labs
Niklas Pesch
Niklas Pesch Developer Flanke 7
Pete Bernard
Pete Bernard CEO EDGE AI FOUNDATION
Rosina Haberl
Rosina Haberl Strategic Partner Senior Program Manager EDGE AI FOUNDATION
Thomas Ziereis
Thomas Ziereis Software Developer roofline
Tinoosh Mohsenin
Tinoosh Mohsenin Associate Professor Johns Hopkins Univeristy

Meeting Minutes

No meeting minutes published yet.

Output

Output

Featured publication

Expanding The Horizons of Generative Edge AI:Mission, Vision, and Insights From Industries Journal of Systems Engineering and Electronics (ISSN NO: 1671-1793) Volume 35 ISSUE 8 2025 1-JSEE3316_Download

Danilo Pau
Danilo Pau
Output

Generative Edge AI Forum #4 – Architectures, Agents & Apps

November 2025 https://youtube.com/playlist?list=PLeisuBi-nfBNiPURmxFr4dp7qwMc3aaZz&si=8ugkQyIvXK0MwSc2 The Edge AI Revolution is Here The cloud’s dominance is being challenged—and the Generative Edge AI community is leading the charge. Across three groundbreaking EDGE AI FOUNDATION forums, we’ve witnessed a seismic shift: the cloud must evolve beyond its role as a centralized AI powerhouse. After years

Pete Bernard
Pete Bernard

Articles

Generative Edge AI

Gen Edge AI Forum 5 Agenda April 21-22 2026

GenEdgeAI meeting 26-4-2026 MoMDownload

Danilo Pau
Danilo Pau
Generative Edge AI

PrismML 1-bit Bonsai LM

Here is a brief executive summary of the article provided by @Mike Stauffer: Core Breakthrough: Caltech-led startup PrismML has developed a mathematical framework for 1-bit large language models, achieving radical compression of high-fidelity AI without sacrificing reasoning performance. Performance Gains: Their flagship Bonsai 8B model reduces memory requirements from 16GB to 1GB, boosts processing speeds by up to 8x,

Danilo Pau
Danilo Pau
Generative Edge AI

From Feasibility to Ecosystems:How Generative AI at the Edge Has Evolved

Poster at EdgeAI San Diego 2026 EDGE AI - From Feasibility to Ecosystems How Generative AI at the Edge Has Evolved – RobertoDanilo_TBPDownload

Danilo Pau
Danilo Pau
Generative Edge AI

Benchmarking Small Language Models on an Industry-grade, High-end Microcontroller

Presentation at the Research Forum EdgeAI San Diego 2026 EdgeAI_RS_SLM_on_MP2_PAUDownload

Danilo Pau
Danilo Pau
Generative Edge AI

Practical Design and Training of Edge Deployable VQA in a Natural Interaction Generative Edge Pipeline

Workshop at EdgeAI 2026 San Diego Workshop VQA Danilo PauDownload

Danilo Pau
Danilo Pau
Generative Edge AI

Conversational agents for natural human machine interaction: which type of edge device?

Speech at EdgeAI 2026 San Diego C-AI-EAISD-PAUDownload

Danilo Pau
Danilo Pau
Generative Edge AI

From Feasibility to Ecosystems

A Personal Reflection from the Working Group Chairs on the Evolution of Generative AI at the Edge Across the Four Generative Edge AI Forums Two years ago, when we first began discussing generative AI at the edge within the Edge AI Foundation community, the mood was cautiously curious. The dominant

Roberto Morabito
Roberto Morabito
Generative Edge AI

MoM WG meeting 2/27/2026

MoM feb 27 2026 GenEdgeAI WGDownload

Danilo Pau
Danilo Pau
Generative Edge AI

Liquid.AI MoE

LFM2-24B-A2B, a 24B Mixture-of-Experts model with 2.3B parameters active per token, built on Liquid AI hybrid, hardware-aware LFM2 architecture.By activating only the most relevant parameters at runtime, LFM2-24B-A2B delivers large-model capability with fast, memory-efficient behavior in a 32GB, 2B-active footprint. https://huggingface.co/LiquidAI/LFM2-24B-A2B-GGUF Check ollama https://ollama.com/search?o=newest

Danilo Pau
Danilo Pau
Generative Edge AI

News of the day: Detecting and preventing distillation attacks

Detecting and preventing distillation attacks \ Anthropic Anthropic (2/23) identified industrial-scale distillation (not subject to export control) campaigns by three AI foreigner laboratories.The only way to train edge LM with agentic reasoning ?

Danilo Pau
Danilo Pau
Generative Edge AI

Featured paper: Turning a Thermostat into an Agent at the Edge

Abstract Recent advancements in large language models (LLMs) have enabled reasoning-like behavior and sophisticated AI agents, but their deployment usually depends on cloud infrastructure or high-performance hardware. Existing local implementations rarely target energy-efficient edge scenarios. This work presents a conversational AI thermostat assistant running fully on a Raspberry Pi 5,

Danilo Pau
Danilo Pau
Generative Edge AI

Featured paper: Artificial Intelligence at the edge: A joint European Roadmap for Edge AI

October 2025 Available at INSIDE and EPoSS Publish Joint European Roadmap for Edge AI - INSIDE Industry Association INSIDE–EPoSS Joint European Roadmap for EdgeDownload

Danilo Pau
Danilo Pau
Generative Edge AI

News of the day:

Danilo Pau
Danilo Pau
Generative Edge AI

Feature paper: Action Prediction with Edge Generative AI for Mice Pre-clinical Studies

Abstract The well-being of mice is critical in pre-clinical research laboratory studies to achieve high-quality experimental results and to mitigate ethical concerns. In this context, the paper proposes a generative intelligent solution for producing human-readable descriptions of mice’s behavior living in a video sensorized cage. By deploying models on off-the-shelf

Danilo Pau
Danilo Pau
Generative Edge AI

Featured paper: Transitioning from TinyML to Edge GenAI: A Review

Abstract Generative AI (GenAI) models are designed to produce realistic and natural data, such as images, audio, or written text. Due to their high computational and memory demands, these models traditionally run on powerful remote compute servers. However, there is growing interest in deploying GenAI models at the edge, on

Danilo Pau
Danilo Pau
Generative Edge AI

Generative AI at the edge: challenges and opportunities: the next phase in AI deployment

Authors: Vijay Janapa Reddi 3733702_Download

Danilo Pau
Danilo Pau
Generative Edge AI

Generative Edge AI Forums

The first virtual forum : Generative AI and Foundation Models on the Edge . It took place on March 27-28, 2024 Call for presentation @ https://www.edgeaifoundation.org/events/tinyai-virtual-forum-on-generative-ai-and-foundation-models-on-the-edge All speeches available @ https://www.youtube.com/playlist?list=PLeisuBi-nfBPZblK-ik_KLK8tRUlDCBZ3 The second virtual Forum : Beyond LLMs and Chatbots – the Journey to Generative AI at the Edge. It

Danilo Pau
Danilo Pau