In the previous half-century, our lives have seen radical transformations. Furthermore, advances in technology have facilitated this significant transformation. Every day, new goods and services are introduced. Our lives have been made easier and more efficient by this new technology.

In 1999, Ross Geller, a star of the famous sitcom Friends, told a story about the future that everyone jokingly referred to as “the future.” If we could transfer our thoughts into computer systems in the future, we could theoretically live indefinitely.

It looked crazy in 1999 as if it would not happen for generations, but it is a lot closer than that. The vast majority of objects on the planet are now digital. There are now schools where a teacher is not obliged to educate students. Restaurants using machine (robot) waiters have begun to appear in many regions of the globe.

In several sectors, robots have taken over duties that were formerly handled by people. For years, scientists have been working on a notion that sounds like something out of a high-budget science-fiction film: computers that imitate the activities and structure of the human brain. Unsurprisingly, robots are now on the verge of replicating the human brain.

Our computers’ capabilities have evolved throughout time. Computers and smartphones now include personal assistants (Siri, Cortana, and Google Assistant) that can follow our commands and carry out our jobs. But the issue is, how near are computers to replicating the human brain?

How Close Are Computers To Mimicking The Human Brain?

Are We Heading Towards Computers That Can Think & Make Decisions?

Our typical computers can now conduct computations, save data, edit films and photographs, and perform many other basic level functions.

Experts believe that different computers that act more like the human brain might do new jobs such as controlling robots, sensors, or drones and performing complicated analytical tasks that regular computers cannot now perform.

Computers will one day be able to make decisions the same way humans do, IBM (International Business Machines Corporation) says.

Human Brain Containing 86 Billion Neuron Is A Very Complex Organ:

These aspects may seem amazing, but we cannot ignore a crucial fact: it is complex to create a computer that is equivalent to the human brain.  As we all know, our brain is very complex, with several levels. Many portions and characteristics of the human mind are still unknown to us.

Although the brain cannot compete with computers in terms of vertical storage and retrieval of information as it has an unrivaled potential for linking diverse bits of knowledge, seeing ahead and planning, emotional intelligence, and executing the creative creativity that is at the center of human life.

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It would be complex to imprint all of these qualities on a computer. Our computers can now interpret photos, identify language, calculate, and store data, among other things.

IBM’s Innovation:

IBM has already developed a brain-like computer chip that can imitate millions of neurons in the brain and do complicated tasks with relatively little energy. IBM scientists are not the only ones working on computer chips that imitate the brain.

IBM has gone the best way, but there is a long way to go. As a result, computers are not yet strong enough to entirely duplicate the human brain, which has 86 billion neurons.

Most analysts estimated 20 years in 2016, implying that man would merge with machines around the year 2036. Let us all strap up and wait to watch this incredible accomplishment.

SpiNNaker – The Human Brain Mimicking Computer:

The human brain is the world’s most complex intellect. The soft tissue contained within the skull can govern all physiological operations of the body, generate thoughts and emotions, and access stored information known as memories. Around 100 billion neurons (primary brain cells) do these tasks, each capable of firing a thousand distinct directions simultaneously.

SpiNNaker (Spiking Neural Network Architecture) is the world’s first supercomputer that replicates the operation of the human brain.

How Close Are Computers To Mimicking The Human Brain?

This supercomputer contains one million processor cores and 1,200 circuit boards that are linked. As a point of contrast, the fastest personal computer from Intel has just 8 processor cores.

Simply glancing at the specs of this supercomputer reveals that it is a remarkable accomplishment for the team of scientists that worked on it:

• 7 terabytes of memory (this means 7,000 gigabytes)

• There are 57,000 nodes

• A rate of 200 trillion steps per second

SpiNNaker Vs. Other Supercomputers:

People have been working tirelessly to develop intelligent technologies to assist them in doing complicated and time-consuming jobs.

Several sophisticated research facilities, like CERN in Europe and NASA in the United States, have supercomputers capable of doing complex computations. NASA scientists used a supercomputer to calculate and monitor the trajectory and flight path of the recently launched Mars rover.

SpiNNaker does more than just conduct computations like a human brain. It has neurological mechanisms comparable to human brains. A traditional computer delivers data through a single network.

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SpiNNaker simultaneously distributes billions of information segments to a variety of destinations. Consider yourself reminding yourself to send an email while sipping coffee. Your mind is:

• Using your arm muscles, lift the cup off the table and place it between your lips,

• Activating your tongue’s taste buds so you can appreciate the flavor of coffee

• Saving the email’s information,

everything at the same time.

If the brain worked like a typical computer, each action would execute one at a time, thus you would not be able to remind yourself of the email while sipping coffee.

The Need Of SpiNNaker:

This supercomputer, as intriguing as it is, would not have been developed for an experiment or setting a record. Its major role is to provide partial brain models: for example, models of the cortex of basal ganglia, or several areas, represented commonly as networks of spiking neurons.

Conventional supercomputers have connection mechanisms that are far less well-suited to real-time brain simulation. SpiNNaker, we think, is more competent than any other computer in simulating bigger spiking neural networks in real biological time.

These simulations aid scientists in understanding how the human brain works and how to cure some of the disorders that affect it. The basal ganglia stimulation may use to study Parkinson’s disease pathogenesis.

SpiNNaker analyses the visual information supplied by the robot’s vision sensors and generates real-time navigation pathways. This feature will aid scientists in the development of neural networks that can be scaled and integrated into mobile robots that will behave even more human-like than they do today.

These robots will be able to move fluidly and execute simultaneous functions such as walking and communicating.

How Close Are Computers To Mimicking The Human Brain?

Conclusion:

In the end, Is SpiNNaker an artificially intelligent computational depiction of the human brain? By no means, not even close.

Even with a billion processors, SpiNNaker can only approach 1% of the size of the human brain, and that was with a lot of basic assumptions.

The SpiNNaker can now perform all of the tasks of a mouse’s brain, despite its 1,000-fold smaller size than that of a human.

There are still many mysteries to be solved, but the fact that we have this small-scale model of a brain constructed from human-made components suggests that we are on our way to solving them.

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Frequently Asked Questions (FAQs):

What Is The Biggest Supercomputer In The World?

The human brain supercomputer, is the world’s biggest neuromorphic supercomputer, the million-processor SpiNNaker machine, has been turned on for the first time.

Engineers conceived and manufactured it to function similarly to the human brain. The SpiNNaker machine is capable of doing over 200 million operations per second.

Which Area Of The Brain SpiNNaker Represents?

It contains a model of an 80,000-neuron region of the brain. Sensory information is processed by this part of the brain, which positions on the outer layer. SpiNNaker has also replicated the Basal Ganglia, a brain area affected by Parkinson’s disease.

Could Spinnaker Lead To A Revolution In Massively Parallel Computing?

SpiNNaker deviates from many of the fundamental rules of how supercomputers work, allowing it to be far more flexible and error-tolerant. Simultaneously, this new paradigm has the potential to lead to major advances in massively parallel computing.

How Can A Supercomputer Help Us Learn About The Brain?

The full-scale supercomputer will enable researchers to explore hitherto inaccessible networks, perhaps leading to advancements in our knowledge of both the healthy and sick functioning of the brain.

While neurological modeling is the machine’s primary purpose, it might also be a beneficial research tool for roboticists.

Can SpiNNaker Operate Huge Neural Networks?

A tiny board of SpiNNaker chips can drive a rudimentary wheeled robot, but scientists believe that the SpiNNaker supercomputer can also run large-scale networks capable of processing sensory input and generating motor output in real-time and at minimal power.

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