It is the method of computer engineering in which elements of a computer are customized after the system in the human brain and nervous system. It is also called as neuromorphic engineering.

1. HOW DOES THIS WORK?
   Neuromorphic computing begins with installation of Artificial Neural Networks(ANN) which consists of millions of neurons. The most common form of neuromorphic hardware is the spiking neural network (SNN). In this hardware, nodes -- or spiking neurons -- process and hold data like biological neurons. Artificial synaptic devices connect spiking neurons. These devices use analog circuitry to transfer electrical signals that mimic brain signals.

2. NEUROMORPHIC TECHNOLOGY CAN BE USED IN THE EXPECTED WAYS:-
   Autonomous systems, such as robotics, drones, self-driving cars and artificial intelligence. Deep learning applications.

3. FEATURES OF NEUROMORPHIC COMPUTING:-
   Rapid response system
   Low consumption of power
   Mobile Architecture
   Fast-paced learning
   High adaptability and plasticity

4. CHALLENGES:-
   Accuracy
   limited software and algorithm
   Inaccessible
   Benchmarks