It is becoming well-known that traditional biosensors are unable to capture the efficiency and adaptive mechanisms typical of the majority of biological processes. Effectively, in situ processing and computation are required to capture the variability of biological phenomena of interest as well as having devices that can mechanically conform to the target biological host. Thus, a new era of smart sensor and actuation applications is emerging with systems that perceive and interact with the world and efficiently couple with biological environments. Allowing actual biological substrates to compute is an even longer-term approach to directly harness the biological level of computational efficiency. However, this approach requires materials, devices and systems that would be able to interface biology in a smart and dynamic way beyond signal acquisition. In this scenario, organic materials and neuronal-inspired electronics are the first building blocks towards efficient new systems that are able to analyze, interpret, perceive and act upon a dynamic, real-world environment. In this symposium, the latest advancements of organic materials for bio-inspired information processing and bio-computation will be covered, next to next-generation wearables devices. Emerging applications will be showcased in neuromorphic computing, sensing, actuation and bio-interfacing. This symposium aspires to bring together world-wide experts in the fields of neuromorphic computing, bioelectronics/sensing and neuroscience in order to enhance transdisciplinary interactions and thus bridge the gaps between materials science, computing and neuroscience by initiating a dialogue around the proposed emerging topic.

artificial intelligence bioelectronic biomaterial biomimetic machine learning memory organic polymer sensor