Excited to share highlights from the 29th IEEE International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS 2026), held in Bratislava, Slovakia, April 27–29, 2026.

Within the conference, the AIDA4Edge project organized a special session, presenting a paper entitled “Optimizing Edge AI: Current Challenges and the Neuromorphic Outlook.”

This contribution represents a collaboration between the Faculty of Electronic Engineering, University of Niš (Serbia), University of Manchester (UK), University of Ferrara (Italy), and IHP – Leibniz Institute for Innovative Microelectronics (Germany).

The paper was presented by Sofija Perić, Davide Bertozzi, Alice Bizzarri, Rizwan Tariq Syed, and Edward Jones, showcasing some of the key results achieved so far within the AIDA4Edge project funded by the European Union’s Horizon Europe programme and supported by UK Research and Innovation (UKRI). The session sparked valuable discussions around current limitations in Edge AI systems, as well as the potential of neuromorphic approaches to address efficiency, scalability, and deployment challenges in resource-constrained environments.

DDECS continues to be an important forum for exchanging ideas and presenting advances in electronic circuits and systems design, test, and diagnostics.

Looking forward to further developments and collaborations in this rapidly evolving field.