How many tons of AI platform
21.5 * 3600 seconds * 24 hours = 1857600 M / day
1857600 / 1024 / 1024 = 1.7715 T / day
a t of computing power / day can dig bitcoin worth 4.03 yuan
1.7715 * 4.03 = 7.14 yuan / day
since 2017, bitcoin has reached new heights. Yesterday (May 23), the value of bitcoin broke through the ￥ 16000 mark, hyping virtual currency, becoming a matter that the general public can participate in, And a little bit of technical level, both fried money, but also began to have the technical content of mining
as we all know, virtual currency has a numerical peak, the more difficult it is to dig. In fact, it's hard to judge whether to lose money or not if we continue to dig. Therefore, in the end how to dig, dig what can be the fastest back to this, this paper studies the above two core issues based on the current market situation
The development of single CPU can not meet the needs of practical applications, and the AI era must rely on parallel computing. At present, the mainstream architecture of parallel computing is heterogeneous parallel computing platform. If you need the service of computing power, you can go to the tenth power
in terms of computing power, we know that after we have data, we need to train and train constantly. Because it's not good to train the training set from the beginning to the end. It's just like saying a truth to a child. I'm sure I won't learn it again, except for the prodigy who never forgets. In addition to training, AI actually needs to run on hardware and reasoning, all of which need computing support
so artificial intelligence must have computing power, and with the development of more and more intelligence, more and stronger computing power is needed.
in recent years, artificial intelligence has made everyone feel its very hot and sustainable development. Therefore, we believe that this round of rapid development of artificial intelligence benefits from the rapid development of IT technology over the years, which brings computing power and computing distance to artificial intelligence, so as to provide support for artificial intelligence algorithms
in recent years, the research and development of artificial intelligence technology and various artificial intelligence applications by enterprises have been continuously implemented, which directly promotes the rapid development of the overall artificial intelligence instry. The overall scale of the core instry of artificial intelligence is close to 100 billion yuan, which can be said to be one of the instries with huge scale. Moreover, from the perspective of future development trend, it is estimated that this year, the overall market scale will reach 160 billion yuan, so the growth rate is still very fast
What are the advantages of deep learning
in order to recognize a certain pattern, the usual way is to extract the features of the pattern in a certain way. This feature extraction method is sometimes designed or specified manually, and sometimes summed up by the computer itself under the premise of relatively more data. Deep learning puts forward a method to let the computer automatically learn the pattern features, and integrates the feature learning into the process of modeling, so as to rece the incompleteness caused by artificial design features. At present, some machine learning applications with deep learning as the core have achieved the recognition or classification performance beyond the existing algorithms in the application scenarios that meet specific conditions
if you are interested in artificial intelligence and deep learning, you can take a look at the AI deep learning courses jointly organized by China public ecation and Chinese Academy of Sciences, both of which are taught by experts of Chinese Academy of Sciences in person
With the promotion of policies and the attention of capital, the artificial intelligence instry will continue to develop rapidly. In 2020, the scale of China's artificial intelligence core instry will exceed 150 billion yuan
at present, the commercialization of artificial intelligence is mainly based on computer vision, intelligent voice, natural language processing and other technologies, which are widely used, involving intelligent medical, intelligent driving, intelligent home and other scenes
in 2018, a total of 131.1 billion yuan was raised in China's artificial intelligence field, with a growth rate of more than 100%. Investors are optimistic about the development prospect of the artificial intelligence instry, and capital will help the instry develop better
in the field of combination of artificial intelligence and travel, the research and development of path planning, network car hailing, traffic management, automatic driving and other technologies have solved the pain points of traditional travel inconvenience. Among them, Shenlan technology has been deeply engaged in intelligent transportation, intelligent environment, intelligent city and other subdivided fields, and has realized the landing of artificial intelligence procts. Its Shenlan technology panda intelligent bus has been put into trial operation in Guangzhou, Tianjin and other domestic cities. The combination of artificial intelligence with security, medical, retail and other instries has solved certain instry pain points, and machine learning algorithm, deep learning and NLP are used to promote the development of the instry
with the coming of 5g business era, the connection efficiency of artificial intelligence technology will be further improved, and deep learning, data mining, automatic programming and other fields will be realized in more application fields
China's artificial intelligence develops rapidly
China's artificial intelligence technology starts late, but develops rapidly. At present, it has been in the leading position in the world in the number of patents and enterprises. From 2013 to 2018, a total of 305000 papers were published in the field of artificial intelligence, of which 74000 papers were published in China and 52000 papers were published in the United States. In terms of quantity proportion, the number of AI papers in China accounted for 27.7% of the world in 2017. At present, the cooperation between China and the United States in artificial intelligence research papers is the largest scale and the center of the global artificial intelligence cooperation network. The cooperation between China and the United States has a profound impact on the development of global artificial intelligence
China's AI instry will continue to be hot in the future
AI media consulting analysts believe that at present, the scale of China's AI instry is still growing, at the same time, the state is constantly introcing various AI instry support policies, and the capital market's investment enthusiasm for the instry remains unchanged, Continuous breakthroughs in technology are the core driving force of instrial growth
the trend of AI instry in the future depends on the progress of algorithm. As the technological breakthrough of algorithm determines the upper limit of AI, the gap of AI enterprises in the future lies in the technological breakthrough of algorithm. Whoever can succeed in algorithm first will win the favor of capital market, and the instrial landing will be further accelerated. In terms of algorithm, there are excellent models such as deep learning and neural network. However, in terms of the overall development of domestic artificial intelligence algorithm, although engineering algorithm has made a breakthrough, the level of algorithm based on cognitive level needs to be improved, which is also the core field of future competition
although the algorithm determines the upper limit of artificial intelligence, the current algorithm may be difficult to break through in a short time, so computing power is also a key direction of the competition of artificial intelligence enterprises at present. With the current computing power level, the main commercial artificial intelligence technologies are computer vision, intelligent voice, etc. in the future, if the computing power further breaks through, including the improvement of computing power The rection of proction cost will further deepen the instrialization of artificial intelligence technology
the above content is extracted from the latest AI media report - Research Report on China's AI instry in the first half of 2019 released by AI media consulting
demand determines the market, and the emergence of this scenario is also related to the development of artificial intelligence instry. Previously, many AI companies focused on the field of algorithm and computing power, but paid little attention to the field of data
however, with the acceleration of AI landing process, this situation has changed a lot. At present, many enterprises are aware of the importance of data annotation. Customization, refinement, high quality and high efficiency have become the new requirements of AI enterprises for data annotation instry.
from a small counter in Zhongguancun store in Beijing in 1998 to the e-commerce transformation of 3C procts launched by Jingdong in 2004, the business of Jingdong group has already gone global
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