<p>➀ 2D materials like graphene and TMDs exhibit properties mimicking biological neural functions, enabling energy-efficient neuromorphic devices for AI and robotics;</p><p>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;</p><p>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.</p>