Exploring the Edge: Making Embedded AI Real


What does it take to move AI from notebooks to silicon, and turn promising models into real, efficient and deployable embedded systems?

On November 13 in Paris, the Neurokit2E and DeepGreen projects are bringing together Europe’s Embedded & Edge AI community for a full day of talks, demos, funding opportunities and networking.

Here’s what’s on the agenda 👇

🎤 Insights from across the ecosystem
From Chips Joint Undertaking and HiPEAC roadmaps to concrete perspectives from Micelia, Thales, MountAIn SAS, ASYGN, Hochschule Campus Wien | University of Applied Sciences and Embedded France.

We’ll explore some of the key challenges shaping the future of Embedded AI: LLMs at the edge, the memory wall, functional safety, energy efficiency and deployment on real hardware.

Le projet Deep Green :

https://www.deepgreen.ai/

Et le projet NEUROKIT2E:
 
https://neurokit2e.eu/