Organic smart interfaces aim to empower hybrid coupling to biological systems as well as emulating biological processes such as neuronal computing. A new era of smart sensor and actuation applications is emerging with systems capable of perceiving and interacting with the surrounding environment, and efficiently coupling with biology. However, in order to enable such intelligent agents, novel organic materials supports are required in a co-design fabric. Enabling biological substrates to compute is a more distant goal that requires the development of materials, devices, and systems capable of intelligently and dynamically interfacing with biology, and interacting in a smart and dynamic way, beyond signal acquisition.
The symposium aims to cover the latest advancements in organic materials for bio-inspired information processing, bio-computation, and biosensing, showcasing emerging applications in organic neuromorphic computing, sensing, actuation, and nano-scale bio-interfacing, along with recent advancements in algorithmic development. It highlights the importance of elements with simultaneous memory and processing capabilities towards "in-memory" computing, local adaptive bio-interfaces and computing paradigms, emphasizing fundamental materials properties, novel devices harnessing physical emergent phenomena, new computing paradigms enabled by unconventional organic material design, and theory and simulation on materials, devices, and architectures. The symposium aspires to bring together world-wide experts in the fields of neuromorphic computing, bioelectronics, to enhance transdisciplinary interactions and bridge gaps between materials science, computing, and neuroscience by initiating a dialogue around the proposed emerging topic.

biomimetic (assembly) Computing devices interface machine learning neuromorphic organic polymer thin film