➀ 2D materials like graphene and TMDs exhibit properties mimicking biological neural functions, enabling energy-efficient neuromorphic devices for AI and robotics;
➁ Recent studies showcase 2D materials' versatility in optical signal processing, multi-sensory simulations (e.g., taste, smell), and integrated neural networks with ultra-low power consumption;
➂ Challenges in scalable manufacturing, defect-free synthesis, and system integration must be addressed to transition lab innovations into commercial AI hardware and sensory technologies.