The activity of the brain and the CPU

Published by Allen Ortega on

The activity of the brain and the CPU

When you are in the driving seat of a car, you have the steering and the horn in your hands, the break and accelerator under your feet, eyes open looking ahead, left and right. The same can be said about a motorcycle rider, with some modifications. These are all very visible. But, behind all, there is something that keeps working unseen. And that is the Central Processing Unit (CPU), your brain. CPUs are artificially intelligent machine that are programmed to do specific jobs under fixed conditions and judgements. But the human brain is intelligent by nature. It is the most sophisticated machine that is able to operate on ever-changing conditions and standards for judgement.

As conditions in the traffic keep invariably changing, this virtue of sophistication of your brain must be at work when you are driving. The difference between traffic in the roads and highways and racing like 2018 Indy 500 must not be blurring inside you. Never imagine yourself to be a Michael Schumacher driving a F-1 at 300 mph or Scott Dixon proving drive at Indy 500 stream 2018.  Leave no room for fantasy. You must always be ready to encounter unexpected behavior from any vehicle or pedestrian. “keep you cool” is easy to advice but difficult to maintain. Still you must always restrain yourself because, at the end of the day, you don’t want to be regarded as a killer. Now you see, the last thing that differentiates you from a computer is your conscience.

On the off chance that we contrast the human cerebrum with society’s present calculation capacities, our brains still remain the most effective focal handling units in presence.

Roused by the brains remarkable unpredictability and preparing power, PC researcher and architect Carver Mead built up the idea of Neuromorphic Computing in the late 1980’s.

Neuromorphic Computing investigates the potential for displaying natural frameworks of calculation on both creature and human brains. It includes the utilization of substantial scale reconciliation (VLSI) frameworks developed of electronic simple circuits to imitate neurobiological models exhibit in the human sensory system. In the neuromorphic procedure chips encode and transmit information in a way that mirrors the electrical spikes produced in the mind as it reacts to tangible data.

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