Late News—Hot Topics Abstracts were due September 3. Authors will be notified by mid-September.
Please contact the symposium organizers with questions.
It is becoming well-known that traditional computing systems are unable to capture the efficiency of the brain in information processing. The computational primitives of biological neural networks on device and circuit level is the first step towards efficient neuromorphic computing systems that are able to analyze, interpret, perceive and act upon a dynamic, real-world environment. 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. Nevertheless, such intelligent agents also require novel algorithmic support in a co-design fabric. 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 symposium, the latest advancements of inorganic and organic materials for bio-inspired information processing and bio-computation will be covered. Emerging applications will be showcased in neuromorphic computing, sensing, actuation and bio-interfacing along with recent advancements in algorithmic development. This symposium aspires to bring together world-wide experts in the fields of neuromorphic computing, bioelectronics 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.
Joint Sessions are being considered with SB04-Materials and Algorithms for Neuromorphic Computing and Adaptive Bio-Interfacing, Sensing and Actuation.
RWTH Aachen University