Why neuromorphic technology is the key to future AI

With the commercial developments, a neuromorphic chip made by IBM contains five times as many transistors as a standard Intel processor, Wired reports, yet it consumes only 70 milliwatts of power. The figures demonstrated "neuromorphic" responses by processing sensory data, including images of objects and sounds and they were able to react to changes. Neuromorphic engineering requires developers to understand how the morphology of individual neurons, circuits, applications affects how information is represented. The technology requires input from biology, physics, mathematics, computer science, and electronic engineering disciplines.