Recently, many important application scenarios in 5G and beyond, such as autonomous vehicles, Wi-Fi sensing, and extended reality (XR), have encouraged the integration of sensing and wireless communication. The integrated sensing and communication (ISAC), in which the sensing and communication share the same frequency band and hardware, has emerged as a key technology in future wireless systems. Here we study how UWB and machine learning technologies can be used to achieve this in an intelligent manner.