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Calculation of power per watt by brain like method

Publish: 2021-05-04 21:17:45
1. The computing speed of the world's most decisive, of course, is the electronic computer. However, there are some people who are not as fast as computers, and they are not mathematicians. Their amazing computing power is often innate, not acquired through training< In the afternoon of April 23, 1981, in Paris, France, Klein from Holland performed mental arithmetic in front of 3000 audiences. One audience asked him to calculate 38x22x27, and he immediately wrote the answer 22572. He was asked to do mental arithmetic ÷ 29. When he wrote 156.172413931033414827... All the way to the edge of the blackboard, it took only 20 seconds. When people ask Klein how to calculate, he always says with a smile that it is difficult to express in words, because some algorithms can be understood by others, but some algorithms cannot be understood by others, let alone applied

how is this amazing computing power of human brain obtained? Why can some people match the speed of a computer? How powerful is the human brain? So far no one has been able to answer.
2. For modern people,
Computer calculators are basically used to solve calculation problems,
obviously become more and more lazy,
and I feel that I can get my calculation ability through more practice,
after I am familiar with calculation methods and engineering,
my calculation ability has been improved
3. The computing speed of human brain is not fast, which is slower than that of the earliest computers (like ENIAC, 5000 times / s).
but human brain has logical ability, but machines don't. therefore, even the most powerful supercomputer now has the same IQ as mice, while home computers are not as good as an earthworm
4. It doesn't matter
this is a protection measure. If you are not used to it, install a Bitai wallet and import your own private key, you will not be invisible.
5.

Recently, Professor Shi Luping's team from the brain like computing research center of Tsinghua University demonstrated a self driving bicycle. This is not the first self driving bicycle in the world. But it's equipped with an artificial intelligence chip - a neuromorphological computer chip - and it's probably the closest machine to independent thinking



in fact, as early as 2015, Tsinghua team completed the first generation of "Tianji" chips, which evolved into the second generation in 2017, with faster speed, higher performance and lower power consumption. Compared with the world's advanced IBM truernorth, it also has the advantages of more complete functions, flexibility and better expansion. The density is 20% higher and the speed is at least 10 times higher, The bandwidth is at least 100 times higher

6. It's possible, because China is one of the earliest countries to study AI.
7. The brain operates in a neural network mode. And only one of the most basic models of neural network is simulated and made into a chip, that is, AI chip, which is just popular. The computer instructions do logic operations and need to be converted to neural networks. In the same way, the efficiency of the current CPU in Artificial Intelligence Computing is also low.
8.

Recently, Professor Shi Luping's team from the brain like computing research center of Tsinghua University demonstrated a self driving bicycle. This is not the first self driving bicycle in the world. But it's equipped with an artificial intelligence chip - a neuromorphological computer chip - and it's probably the closest machine to independent thinking

the chip is the world's first heterogeneous fusion brain like computing chip for AI. It is developed by Professor Shi Luping's team in the brain like computing research center of the Department of precision instruments of Tsinghua University. It is the world's first AI chip that supports both pulse neural network and artificial neural network

and & quot; Tianjixin & quot; It is the first heterogeneous fusion brain chip in the world, and also the first artificial intelligence chip in the world that can support both pulse neural network and artificial neural network

9. On August 1, 2019, Nature magazine published a cover article saying that researchers from Tsinghua University and other units have developed the world's first heterogeneous fusion brain computing chip. The chip combines brain like computing and computer-based machine learning, which is expected to promote the research and development of AI.
10.

The global market discusses the risk of sky high price bitcoin. You think there are the following risks in bitcoin:

Third, the security of trading platform needs to be improved in recent years, although the network operation rhythm of bitcoin is fast, the integrity and operation efficiency of the trading platform are missing, which will cause huge economic losses once the website is damaged. All kinds of bitcoin theft incidents show that the current bitcoin trading platform is not reliable, and there are many transaction security loopholes. This not only proves that the technical team ability and innovation ability of the current trading platform need to be improved, but also indicates that the world still needs to continue to research and adopt more independently developed bitcoin trading systems, There is still a long way to go for the overall construction and development of the platform

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