This talk offers a unified perspective on how diverse AI methods can underpin the development of future smart sensing, communication, and transport systems by organizing its capabilities into an ecosystem of techniques with six complementary roles, each illustrated through representative research. Together, they show how data-driven AI methods can enhance the system’s performance, reliability, and autonomy across diverse applications in dynamic environments. The talk concludes with a discussion
IEEE-Affiliated Group Name: IEEE VTS
URL: https://resourcecenter.vts.ieee.org/education/webinars/vts_edu_web_seet_011326
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