Neuromorphic Computing: Imitating the Human Brain

Neuromorphic Computing Neuromorphic computing is a burgeoning domain in the discipline of computer science, with the goal of creating hardware and software systems inspired by the structure and function of the human brain. In contrast to the functionality of traditional computers that are based on binary logic and sequential processing, neuromorphic computing systems utilize spiking neurons and circuitry to imitate brain-like functions in an efficient manner that is implemented in parallel; for example, this parallelism is advantageous for performing hard, computationally intensive tasks, such as pattern recognition and real-time decision-making. These brain-inspired computing chips can perform computations using minimal amounts of power, making them advantageous for delivering fast functionality in such fields as artificial intelligence (AI), robotics, and sensory applications. Because neuromorphic systems are...