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How the human brain power, compared with the computer device
Despite the evolution of the speed and power of computers now, but it was still a far cry from the human brain, where the programming of computers to perform a unique and specific such as talking or playing chess tasks.
But when measuring the potential of the computer device with the capabilities of the human mind to fully clear difference shows that the relationship between the two is close and similar.
Scientists tried over the past few years and the various diverse ways to get Ripper computer that can mimic the complexity and address the real power of the human brain.
Supercomputers and operate in accordance with the parallel processing systems and is constantly evolving in line with Moore’s Law, which states that the number of transistors within a chip doubles every eighteen months, which means the possibility of performing a single-chip function parallel processors range in the future.
The human brain is working in parallel as well, but within a different supercomputers scale, according to the biologists, the human brain has approximately 90 billion linked together in every sense nerve cell, which means the presence of more than 220 trillion contact points called synapses or clamps points nervousness.
Super computers do not exist able to run a simulation of a human brain programs so far, and the integrated buffer and diligent communication system within the brain of hundreds of trillions of different tracks for signs of stroke so they can navigate through it.
Scientists working on trying to mimic the human brain’s ability digitally, and needed a few years ago to more than 82,000 processor working on a faster giant in the world of computers to mimic one second the activity of the human brain.
The researchers estimated that the human brain simulation need at least a machine with a computational capacity of 36.8 Batavlob petaflops, is Albatavlob equivalent to a thousand trillion floating point operations per second, with the random access memory of 3.2 petabytes, or 3,200 terabytes.
Access to these capabilities is not expected according to the technology giant scales day three years ago, at least.
Bonn Kwabena principal investigator and assistant professor in the bioengineering department at Stanford University, “one of the key challenges in building the nervous system structures across the silicon is said that each neuron communicates with others through 8000 clash nervous point.”
He Bonn “We need about 20 transistors to implement a single clip, and it is clear that the possibility of building the equivalent of about 220 trillion clash nervous points across the transistor and the silicon is not an easy solution to our problem.”
The research study was recently posted to the discovery of the possibility of human brain retain the information ten times greater quantity than previously thought, scientists now believe that the human brain’s capacity is about petabytes or approximately one thousand terabytes.
Many of the research published in recent times on this issue, which highlights the importance of comparison and competition mathematically between the human brain and the computer.
It humans and has many amazing things, including the ability to recognize patterns and language abilities and creative thinking, and despite the improvement in the speed of computers at pattern recognition, but that most of the programs are still doing it the level of a small child.
The classic style of pattern recognition is the ability to recognize faces, so that man can recognize faces in a variety of contexts.
The man can identify the different ages or Almguenh or changing faces depending on the change in facial hair, while not of computers to perform these tasks well similar to humans.
The computer hardware is stronger than humans when it comes to implementing a simple step by step instructions, while humans surpass computers in tasks that can not be easily analyzed and broken down into simple steps sequential.
The aim of the areas of computer science and artificial intelligence, machine learning in the analysis and segmentation problems into small pieces the size of bytes to easily digested and absorbed by the computers.
It can be considered computers until now as babies they can not teach themselves how to solve complex problems and broken down into simple tasks and sequential and need constantly to the ability of the human brain.Viewing:-176
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