The automotive and aerospace industries are striving for cost-optimization and efficiency of the powertrain. This

necessitates the evolution of electric motors towards compactness, higher speed and power density. Components

such as bearings, coils, and magnets undergo substantial stress, emphasizing the critical need for meticulous design.

Fortunately, recent advancements in artificial intelligence algorithms and hardware have significantly enhanced

the efficiency of simulation and testing processes. This paper aims to elucidate the utilization of AI in addressing the

challenges posed by the demanding requirements of modern electric motor design and testing.