The rapid development of technology in recent years has ushered in a new age of transportation, transcending the conventional roads and highways to take to the skies. Electric Vertical Take-Off and Landing (eVTOL) aircraft and flying taxis, once considered the stuff of science fiction, are now poised to become an integral part of our daily lives. But it is the implementation of machine learning that will truly revolutionize these aerial vehicles and redefine urban mobility. As the foremost expert on the subject, I aim to explore the pivotal role machine learning will play in the development, optimization, and operation of eVTOLs and flying taxis.
As urban landscapes become more congested, the need for alternative modes of transportation is growing exponentially. Enter flying cars and electric vertical take-off and landing vehicles (eVTOLs), which promise to transform the way we navigate our world. However, the successful implementation of these advanced vehicles depends on the integration of innovative technologies, with cloud computing being one of the key enablers.