What is the purpose of neuromorphic computing?

The goal of neuromorphic computing is not to perfectly mimic the brain and all of its functions, but instead to extract what is known of its structure and operations to be used in a practical computing system.

What is a neuromorphic processor?

Neuromorphic chips are packed with artificial neurons and artificial synapses that mimic the activity spikes that occur within the human brain—and they handle all this processing on the chip. This results in smarter, far more energy-efficient computing systems.

What is the meaning of neuromorphic?

The word neuromorphic itself derives from the words neuro, which means “relating to nerves or the nervous system,” and morphic, which means “having the shape, form or structure.” This concept of design allows these chips to interpret sensory data and respond in ways that are not specifically programmed.

Who is making neuromorphic chips?

Intel
Four years after Intel first introduced Loihi, the company’s first neuromorphic chip, the company has released its second generation processor, which Intel says will provide faster processing, greater resource density, and improved power efficiency.

Is neuromorphic computing the future?

Neuromorphic computing—also known as brain-inspired computing (BIC) technology is expected to allow ICs to do “compute in memory” (CIM) with a thousand- to a million-times improved power-consumption compared to the best digital AI chips today.

What is neuromorphic computing Everything you need to know about how it is changing the future of computing?

As the name suggests, neuromorphic computing uses a model that’s inspired by the workings of the brain. The brain makes a really appealing model for computing: Unlike most supercomputers, which fill rooms, the brain is compact, fitting neatly in something the size of, well… your head.

What is neuromorphic architecture?

Abstract—Neuromorphic architectures are hardware systems that aim to use the principles of neural function for their basis of operation.