Inspired by the human brain, the development of brain-inspired intelligence is a rapidly expanding area in AI. Facing the constraints of traditional von Neumann architectures and the diminishing of Moore's Law, the computing performance of the intelligent hardware needs to be continuously improved. We delve into devices, algorithms, circuits, and architecture, focusing on the use of brain-inspired learning, memory, and evolution in designing software algorithms and hardware, targeting applications in edge computing, robotics, and large language models.