By emulating the design and operation of the human brain, neuromorphic
computing promises to close the gap between artificial intelligence and brain-inspired
technologies. Researchers create specialized hardware and software to mimic the
brain's processing speed, capacity for learning, and energy economy. This chapter
examines the drivers, difficulties, and prospective uses of neuromorphic computing,
with a focus on robotics, sensory processing, and pattern recognition. The entire
potential of brain-inspired systems will be unlocked by ongoing research,
revolutionizing the field of AI and paving the way for the creation of cutting-edge,
intelligent machines that follow the principles of the brain.
Keywords: Connected and autonomous vehicles (CAVs), Cyber security, Federated learning, Vehicular network.
