tinyAI Forum on GenAI & FMs on the Edge Call for Presentations

February 15, 2024

Submit your abstract here.

Join the GenAI Revolution & Amplify its Impact on the Edge!

tinyML Foundation Presents:
A tinyAI Virtual Forum on Generative AI and Foundation Models on the Edge

Foundation models and generative AI have enabled a new generation of cloud AI applications. Meanwhile, embedded machine learning and tinyML are bringing AI to the edge of the network. As hardware and algorithms become more efficient, these fields are starting to collide.

For the first time ever, this Virtual Forum brings together experts on edge AI, foundation models, and generative AI, bridging connections that will help us chart a new frontier for AI. How can we deploy foundation models to the edge? And what becomes possible when we do?

Foundation models are general purpose deep learning models, trained on huge, unlabelled datasets, that can be applied to many tasks. Generative AI models are those designed to produce realistic data: from writing and images to speech, audio, and signals. Edge AI is the deployment of AI to physical devices, where digital hardware meets the real world.

This Forum aims to review the state-of-the-art at the intersection of these fast-evolving fields. It will showcase the potentially transformative impacts that foundation models can bring to the edge—including in hardware, software, tooling, applications, and AI design methodologies.

Two broad themes will be discussed:

  1. The current status and future outlook for foundation models and generative AI on resource-constrained embedded devices, and their role within the edge-to-cloud continuum.
  2. The foundation model and generative AI tools, methodologies and techniques that can assist tinyML and edge AI developers and designers, including EDA tools, assisted labeling, and synthetic data.

A key goal for the Forum is to be generative itself, inspiring the AI community towards collaborative work!

Dates: March 27-28, 2024
Time: 7-10am US Pacific Time
Format: LIVE and interactive virtual event (no pre-recorded sessions)

Calling Innovators and Thought Leaders!
The tinyML Foundation and its Global Community seek insights from:

  • Industry professionals actively involved in foundation models, generative AI, and Edge AI
  • Academic researchers  
  • Start-up innovators 
  • Government labs

Topics of Interest Include:

  • Edge AI applications for foundation models and generative AI
    • Product and design opportunities offered by GenAI on the Edge
    • Scalable and sustainable GenAI applications at the edge 
    • Future outlook and possibilities
  • Architectures and optimization for foundation models and edge AI
    • Foundation models designed or modified for edge devices
    • Energy efficient transformer architectures for embedded applications 
    • Hybrid tinyML/edgeAI LLM architectures
    • LLMs and optimization techniques for resource constrained devices 
  • Generative AI tooling for edge AI development
    • Automated labeling and synthetic data
    • Assisted software development (code generation, regression testing)
    • GenAI for tinyML/edgeAI designs (e.g. EDA tools)
  • Best practices and methodologies for GenAI deployment on the edge 

Share Your Knowledge!

Be part of the conversation shaping the future.

Abstract Essentials:

  • Define the problem your work addresses.
  • Highlight GenAI tinyML/edgeAI/Cloud synergies 
  • Unveil/anticipate results and their significance for the tinyML/edgeAI realm
  • Propose actionable insights/call for action for the tinyML/edgeAI community to consider

Note: The abstract should be no longer than one-page word or PDF document including the title, authors, affiliations, e-mail address of the contact author, as well as a one or two paragraph summary of the content and significance of the presentation.  Up to 2 images/block diagrams are encouraged to ease understanding of the proposal. The abstract will be sent back for revision if not all elements are included.

Important Dates:

  • Abstract submission deadline: March 4, 2024
  • Acceptance notifications: by March 15, 2024
  • Workshop Days: March 27-28, 2024

Be there. Shape the future GenAI on the Edge.

Submit your abstract here.

Contact information:
Olga Goremichina olga@tinyml.org