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 of fixed-function AI investments at the edge, a new era of practical innovation is exploding into the gap—and it’s happening faster than anyone predicted.
What We’ve Proven
Forum Three revealed the game-changer: Power-efficient hardware now deploys generative AI directly at the edge, supported by robust on-premises solutions. This isn’t incremental progress—it’s liberation.
What’s Next
Forum Four raises the stakes even higher. We’re convening the brightest minds to unveil:
– Next-generation algorithms operating at both generative and reasoning levels
– Revolutionary power-efficient hardware that brings AI within arm’s reach of users
– Open development suites democratizing innovation
Transformative applications leveraging distributed agentic architectures
– Near-zero latency connectivity making real-time intelligence truly real-time
Tune in to hear these breakthrough thought leaders:
Day 2 — Sensing, Applications & Platforms (8:00–12:10 PT)
08:00–08:05 Welcome (organizers)
08:05–08:20 Fireside chat – Generative Edge AI in Industry – Jennifer Cooke (IDC) / Pete Bernard (EDGE AI FOUNDATION)
Session 4 — Sensing, Interaction & Health
08:20–08:45 Michele Magno (ETH Zurich) — GenAI at the Edge: Wearables→AVs
08:45–09:05 Xiaofeng Tan (Pison) — Multimodal Hand Gesture Modeling
09:05–09:25 Ritik Shrivastava (Brainchip) — aTENNUate: Real-Time Audio Denoising
09:25–09:50 Luigi Occhipinti (Cambridge) — Artificial Sensor Intelligence & Health
09:50–10:15 Giovanni Scapellato (STMicroelectronics) — GenAI for Biosensors/Cardio
Session 5 — Endpoints, Industrial & Ecosystems
10:15–10:40 Davis Sawyer (NXP) — Industrial Edge: Old Meets New
10:40–11:00 Henrik Flodell (Alif Semiconductor) — GenAI at the Edge for Endpoints
11–11:25 David Cuartielles (Arduino) — Proposal of workflow and software architecture for the development of complex EdgeAI applications
11:25–11:45 Zechun Liu (META) — Advancing Large Language Models in Resource-Constrained Environments
11:45–12:00 Closing (organizers)
This is the future of AI—decentralized, efficient, and unstoppable. The question isn’t whether to tune in. It’s whether you can afford to miss it.