Soft neuromorphic electronics offer new opportunities for in-sensor computing with parallel and adaptive signal processing. While conventional neuromorphic hardware is still in its early stage and faces substantial challenges in materials, architecture, and integration, we are pioneering next-generation soft neuromorphic systems tailored for future wearable and skin-interfaced technologies. By employing soft materials, organic compounds, and device-level learning mechanisms, our research aims to establish fundamentally new pathways for hardware-level neuromorphic computation.
Featured highlights
Coming Soon!