<p>➀ Neuromorphic computing addresses the limitations of von Neumann architectures by mimicking the brain's parallel processing for energy-efficient AI tasks like computer vision and autonomous systems; </p><p>➀ Key innovations include synaptic plasticity integration and in-memory computing using technologies like ReRAM, enabling real-time learning and reduced power consumption; </p><p>➂ Emerging quantum tunneling advancements could further enhance computational intelligence in next-gen neuromorphic hardware.</p>