Writing · 2024
Neuromorphic Computing: Hardware, Software and Research Directions
A survey of brain-inspired architectures — where the hardware has delivered, where the software stack has not, and what the ethical questions actually are.
Sole-authored, Cal Poly Pomona · 2024
Neuromorphic computing tries to close the gap between biology and silicon by taking the brain as an architectural model rather than a metaphor — event-driven, massively parallel, and spending energy only where activity happens.
The survey covers hardware implementations, the software ecosystem that has to exist for them to be usable, and research applications across AI and robotics.
It also takes the future directions and ethical considerations seriously rather than as a closing paragraph, because architectures that promise adaptive, human-like machine intelligence carry questions that a purely performance-driven survey would skip.