AI is playing an increasingly pivotal role in air transport, with nearly 90% of companies developing or deploying such technology. A number of AI-based solutions are currently being used by airlines and airports in areas such as fuel optimisation, air traffic control, in-flight services, and vehicle maintenance.
16
Aug
Aug
The transition to electric power in aviation is set to alter the aircraft maintenance landscape in significant ways. Traditionally, aircraft systems have relied heavily on mechanical components, hydraulics, and fuel-based propulsion. As we move towards electrification, many of these systems will be replaced by electrical equivalents, bringing about a substantial shift in maintenance requirements.
07
Apr
Apr
Electric Vertical Take-Off and Landing (eVTOL) aircraft are on the brink of revolutionizing urban mobility by offering a sustainable alternative to ground transportation in congested cities. However, despite their potential to redefine urban air mobility (UAM), the operational costs of eVTOLs present significant challenges that must be addressed to ensure their commercial viability and widespread adoption. Understanding these costs and exploring strategies for their mitigation is crucial for stakeholders across the aviation industry.
27
Mar
Mar
In the rapidly evolving landscape of aviation technology, the integration of machine learning systems into eVTOLs (electric Vertical Take-Off and Landing aircraft), flying cars, and drones presents a groundbreaking shift toward smarter, safer, and more efficient operations. This fusion of advanced aviation with artificial intelligence (AI) not only propels the capabilities of these aerial vehicles to unprecedented levels but also opens the door to innovative applications that were once the realm of science fiction.
20
Apr
Apr
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.
31
Mar
Mar
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.