
Wireless Community: Wireless sensor networking & embedded AI
Topic of the workshop
Ultra-low power wireless sensor networks are at the heart of the next wave of smart applications that will benefit from omnipresent, ambient technologies and networks for joined sensing and communication. Yet these wireless devices are heavily resource-constrained in terms of energy, memory, and compute. Wirelessly transmitting raw sensor data to the cloud for processing is often impractical due to power, latency, bandwidth, and privacy limitations.
Embedded AI offers a compelling alternative: by processing data locally at the sensor node, systems can reduce communication overhead, extend battery lifetime, and react in real time while protecting sensitive information.
In this workshop, we will present hardware and software technology innovations for bringing intelligence directly onto constrained wireless devices, as well as best practices for design trade-offs and optimization techniques that enable practical deployment. Through live demos our presenters will show how embedded AI can turn tiny, power-limited nodes into smart building blocks of the Artificial Intelligence of Things (AIoT).
This workshop is co-organised with EWSN, the International Conference on Embedded Wireless Systems and Networks, and is accessible to all enthusiasts in wireless technologies and embedded AI.
The programme includes presentations, (live) demos and networking opportunities.
Programma
12:00 | Registration & lunch | |
13:20 | Introduction Kris Hermus, Coordinator Wireless Community & Innovation Program Manager Flanders, imec | |
PART I – GENERAL PRINCIPLES | ||
13:30 | Enabling AI at the Extreme Edge Marian Verhelst, Professor, KU Leuven – ESAT | |
14:30 | COFFEE BREAK | |
PART II – EMBEDDED AI | ||
14:50 | TinyKubeML: Orchestrating TinyML Models on Far-Edge Clusters João Oliveira, Fernando Rego, Filipe Sousa (Fraunhofer AICOS); Luis Almeida (CISTER / FEUP – University of Porto) | |
15:10 | TinyML as a Service on Multi-Tenant Microcontrollers Bastien Buil (Cnam / Orange); Chrystel Gaber (Orange); Samia Bouzefrane (Cnam); Emmanuel Baccelli (Inria) | |
15:30 | PEARL: Power- and Energy-Aware Multicore Intermittent Computing Khakim Akhunov (imec); Eren Yildiz (Georgia Institute of Technology); Kasim Sinan Yildirim (University of Trento); Khakim Akhunov (University of Trento) | |
15:50 | COFFEE BREAK | |
PART III – DEMO TOUR | ||
16:10 | Guided Demo Tour | |
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PART IV – INDUSTRY PERSPECTIVE | ||
17:00 | Enabling AI on edge devices: insights from audio applications Bruno Defraene, R&D Engineer – Machine Learning and Signal Processing, NXP Semiconductors | |
17:30 | A tutorial on the state-of-the-art in (batteryless) wireless sensor networking (with Thread and Matter) Brecht Van Cauwenberghe, Software engineer, Qorvo | |
18:00 | Plenary Q&A session | |
18:10 | Networking reception | |
19:30 | End of this workshop |
Participation only possible after registration.
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