Neuromorphic Computing Technology

Sept. 15, 2024

Scientists at the IISc, Bengaluru, are reporting a momentous breakthrough in neuromorphic, or brain-inspired, computing technology that could potentially allow India to play in the global AI race.

About Neuromorphic Computing Technology:

It is also known as neuromorphic engineering, is an approach to computing that mimics the way the human brain works.
It entails designing hardware and software that simulate the neural and synaptic structures and functions of the brain to process information.
How does it Work?
- It is modeled in neuromorphic computing systems through Spiking Neural Networks (SNNs).
- A Spiking Neural Network is a type of artificial neural network composed of spiking neurons and synapses.
- These spiking neurons store and process data similar to biological neurons, with each neuron having its own charge, delay and threshold values.
- Synapses create pathways between neurons and also have delay and weight values associated with them.
Benefits
- Adaptability: Neuromorphic devices are designed for real-time learning, continuously adapting to evolving stimuli in the form of inputs and parameters.
- Parallel processing: As SNN’s asynchronous nature, individual neurons can perform different operations concurrently. So neuromorphic devices can execute as many tasks as there are neurons at a given time.