On the 9th of October our partner, FRAUNHOFER IIS organized a webinar for the MANOLO consortium, titled “Edge AI and Neuromorphic Computing”. It focused on presenting the latest research trends in energy-efficient Edge AI and Neuromorphic Computing. Its primary objective was to deepen the consortium’s understanding of critical topics, including software optimization techniques for microcontrollers, the development of in-memory compute architectures, and advancements in spiking neural networks (SNNs).
The event gave the chance for participants to explore cutting-edge solutions aimed at enhancing performance and energy efficiency in AI systems deployed at the edge. Each presentation was followed by an engaging Q&A session, which allowed consortium members to raise questions and discuss key insights. These discussions turned out to be some of the most valuable moments of the webinar, as they facilitated a lively exchange of ideas and offered a clearer understanding of the future challenges and opportunities in both Edge AI and Neuromorphic Computing.
By fostering dialogue on these topics, the webinar successfully contributed to strengthening the consortium’s collective knowledge base and shaping strategies for future innovations in energy-efficient AI technologies.
Many thanks to Sebastian Karl, Simon Geis, Mark Deutel, Maen Mallah, Roland Muller, and Leonidas Richter who were speakers to this interesting webinar, and helped us to understand more deeply the contribution of HW-aware model training and optimization to the MANOLO project.
