Is our brain is faster than a super computer ?if yes why?
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For decades computer scientists have strived to build machines that can calculate faster than the human brain and store more information. The contraptions have won. The world’s most powerful supercomputer, the K from Fujitsu, computes four times faster and holds 10 times as much data. And of course, many more bits are coursing through the Internet at any moment. Yet the Internet’s servers worldwide would fill a small city, and the K sucks up enough electricity to power 10,000 homes. The incredibly efficient brain consumes less juice than a dim lightbulb and fits nicely inside our head. Biology does a lot with a little: the human genome, which grows our body and directs us through years of complex life, requires less data than a laptop operating system. Even a cat’s brain smokes the newest iPad—1,000 times more data storage and a million times quicker to act on it.
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find the square root up to two decimal place with method 4780
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The brain is very different from a computer. Computers are good at:
Recalling any explicitly stored and explicitly requested part of a data set with near-perfect fidelity, provided that it fits within available storage.Manipulating pieces of data in ways that resemble certain mathematical operations.Communicating with other computers using electrical or radio signals.Doing all of the above extremely quickly, accurately, and effortlessly by human standards.
Human brains are extremely good at:
Recalling, albeit imperfectly, relevant details from disparate pieces of data in a vast, automatically-created store of knowledge and sensory data.Pattern-matching sensory data (sight and sound especially) to extract information from it, using sophisticated, subconscious methods that are difficult to describe or duplicate mathematically.Noticing when an idea or action is inconsistent with other knowledge ("common sense"), synthesizing ideas and inventing new ones ("creativity"), and proactively making decisions and taking actions with no, vague, or incomplete instructions ("initiative").Doing all of the above extremely quickly, accurately, and effortlessly by computer standards.
Put it this way: a computer can multiply two ten-digit numbers in 1.2 nanoseconds and get the right answer every time. But try to get it to simply recognize letters in an image—not even understand the words, but just say whether this bit of the paper has an 'a' or a 'Q' or a '3', which is a task you could probably teach any two-year-old—and you're talking years of R&D, most of the processing power available on a PC fifteen years ago, and three mistakes for every two lines.
Humans can do the sorts of computations that computers can, but they're not very good at them—they're very slow by a computer's standards and make lots of mistakes. But at the same time, computers aren't very good at the things humans are—speech recognition, natural-language processing, and computer vision systems are all slow, resource-intensive, and make mistakes no child would, while the more abstract "thinking" behaviors humans are capable of have been actively, intensively researched for decades, with little to show so far.
So when you ask whether a brain or a computer is faster, the answer is, "at what?" Computers are faster at raw computations, but for many tasks we don't even think of as terribly remarkable, our brains leave computers in the dust.
THIS FULL EXPLANATION WILL HELPFUL TO U TO UNDERSTAND
Recalling any explicitly stored and explicitly requested part of a data set with near-perfect fidelity, provided that it fits within available storage.Manipulating pieces of data in ways that resemble certain mathematical operations.Communicating with other computers using electrical or radio signals.Doing all of the above extremely quickly, accurately, and effortlessly by human standards.
Human brains are extremely good at:
Recalling, albeit imperfectly, relevant details from disparate pieces of data in a vast, automatically-created store of knowledge and sensory data.Pattern-matching sensory data (sight and sound especially) to extract information from it, using sophisticated, subconscious methods that are difficult to describe or duplicate mathematically.Noticing when an idea or action is inconsistent with other knowledge ("common sense"), synthesizing ideas and inventing new ones ("creativity"), and proactively making decisions and taking actions with no, vague, or incomplete instructions ("initiative").Doing all of the above extremely quickly, accurately, and effortlessly by computer standards.
Put it this way: a computer can multiply two ten-digit numbers in 1.2 nanoseconds and get the right answer every time. But try to get it to simply recognize letters in an image—not even understand the words, but just say whether this bit of the paper has an 'a' or a 'Q' or a '3', which is a task you could probably teach any two-year-old—and you're talking years of R&D, most of the processing power available on a PC fifteen years ago, and three mistakes for every two lines.
Humans can do the sorts of computations that computers can, but they're not very good at them—they're very slow by a computer's standards and make lots of mistakes. But at the same time, computers aren't very good at the things humans are—speech recognition, natural-language processing, and computer vision systems are all slow, resource-intensive, and make mistakes no child would, while the more abstract "thinking" behaviors humans are capable of have been actively, intensively researched for decades, with little to show so far.
So when you ask whether a brain or a computer is faster, the answer is, "at what?" Computers are faster at raw computations, but for many tasks we don't even think of as terribly remarkable, our brains leave computers in the dust.
THIS FULL EXPLANATION WILL HELPFUL TO U TO UNDERSTAND
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