德勤：2026年技术趋势报告（英文版）

Neuromorphic chips supercharge computing. Neuromorphic chips are brain-inspired processors that are more energy-efficient than traditional graphics processing units (GPUs) for certain AI tasks. GPUs have separate areas for memory and processing, while neuromorphic chips combine both in the same place. Neuromorphic chips are event-driven—they only process information when something happens—while GPUs run constantly at full speed. This means neuromorphic chips can use 80 to 100 times less energ