Neuromorphic Computing: What is It & How Does It Work?

As artificial intelligence technology is constantly evolving, attention is turning to neuromorphic computing and its potential to take AI to new levels of power, and performance. But do you know what neuromorphic computing means? Or how does it work?

In the present day, computers working with semiconductor chips have reached their ability to process calculations quickly, dissipate heat efficiently, consume less energy, and their ability to become much smaller than handheld devices. Here comes neuromorphic computing. The technology permits computer scientists as well as neuromorphic engineers to make computers that function like human brain.

Sounds interesting right? Let’s learn more about this cutting-edge computing technology through this blog.

Quick Overview of the Global Neuromorphic Computing Market

In simple words, Neuromorphic computing is a type of artificial intelligence that mimics the way a brain works. It uses specialized hardware like AI chips, and software algorithms, to stimulate neurons and connect to process data more efficiently than traditional computers. Leveraging the incredible power, and agility of the human brain, neuromorphic computing permits to construct the computers that run as efficiently as humans without the requirement of huge space for the installation of heavy software.

As per the recent report of MarketNtel Advisors, it is estimated that the Global Neuromorphic Computing Market will grow at a CAGR of around 81.1% during the forecast period. The factor that has been propelling the market growth is the increasing demand for AI & Machine Learning technologies across several end-user industries.

How does the Neuromorphic Computing Work?

Neuromorphic computing works by placing millions of artificial neurons, and connect just like the neurons of a human brain. Artificial Neural Networks permit brain-inspired computing-enabled machines to work and act like the brain of a human being by sending electrical signals or spikes to one another.

The passing of these electrical spikes works because of the Spiking Neural Networks. It enables machines to work like a human brain and perform actions similar to humans. Moreover, it involves interpretation of data, voice recognition, visual recognition, and much more. Also, the artificial neuron consumes power only when the signals are passed.

Hence, the neuromorphic chip consumes less power than conventional computers. It leads machines to work faster, and effectively.

Summing Up

Neuromorphic computing will unlock AI’s hidden potential, and pave the way for a revolutionary new era over the next few years. Moreover, it aims to create computers that behave like a human brain and act as a nervous system of a human being. Its benefits are set to revolutionize AI over the next few years, from machine learning to data analysis. Neuromorphic Computing is a major field in the field of AI, and will be a powerful force in the future of artificial intelligence.

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