Y. van de Burgt, Eindhoven University of Technology
Neuromorphic computing could address the inherent limitations of conventional silicon technology in dedicated machine- learning applications. Organic electronic materials can provide neuromorphic systems with low-energy switching and excellent tunability, while being biocompatible and inexpensive. This talk describes state-of-the-art organic neuromorphic devices and provides an overview of the current challenges.