This presentation focuses on the core challenges and key opportunities of spiking computing, an emerging brain-inspired computing paradigm. Spiking computing is characterized by event-driven and asynchronous information processing, distinguishing it from traditional continuous synchronous computing. The presentation first addresses core challenges: the difficulties in constructing discontinuous computing models, exploring how to establish efficient and practical algorithmic frameworks, followed by an exposition of the potential applications and prospects of spiking computing in three areas: model algorithms, sensing device integration, and neuromorphic hardware applications.