The symposium focuses on advancing the development of materials, devices, and systems that can intelligently interface with biology, crucial for designing biosensors and neuromorphic electronics. It seeks to explore the common ground among various topics, some of which are already addressed in separate sections at MRS. Recognizing the limitations of traditional computing systems in replicating the brain's efficiency in information processing, the symposium emphasizes the importance of computational approaches inspired by biological neural networks on the device and circuit levels. These examples constitute the initial steps toward creating efficient bio-morphic systems capable of analyzing, interpreting, perceiving, and responding to dynamic real-world environments.

As a result, a new era of smart sensor and actuation applications is emerging, where systems efficiently interact with biological environments. However, achieving this intelligence also necessitates novel algorithmic support within a co-design framework. A longer-term approach involves allowing actual biological substrates to perform computations, directly tapping into the high level of computational efficiency inherent in biological processes.

The symposium will delve into the latest advancements in both inorganic and organic materials for bio-inspired information processing, bio-computation, and biosensing. It will showcase emerging applications in neuromorphic computing, sensing, actuation, and nano-scale bio-interfacing, along with recent progress in algorithmic development. By bringing together global experts in neuromorphic computing, bioelectronics, and neuroscience, the symposium aims to foster transdisciplinary interactions. Ultimately, it seeks to bridge the gaps between materials science, computing, and neuroscience by initiating a dialogue on this emerging and interdisciplinary topic.

biomimetic (assembly)