The unit of artificial intelligence
computing power is a measure of bitcoin network processing power. That is, the speed at which the computer calculates the output of the hash function. Bitcoin networks must perform intensive mathematical and encryption related operations for security purposes. For example, when the network reaches a hash rate of 10th / s, it can perform 10 trillion calculations per second
in the process of getting bitcoin through "mining", we need to find its corresponding solution M. for any 64 bit hash value, there is no fixed algorithm to find its solution M. we can only rely on computer random hash collisions. How many hash collisions can a mining machine do per second is the representative of its "computing power", and the unit is written as hash / s, This is called workload proof mechanism pow
computing power provides a solid foundation for the development of big data, and the explosive growth of big data poses a huge challenge to the existing computing power. With the rapid accumulation of big data in the Internet era and the geometric growth of global data, the existing computing power can no longer meet the demand. According to IDC, 90% of the global information data is generated in recent years. And by 2020, about 40% of the information will be stored by cloud computing service providers, of which 1 / 3 of the data has value
therefore, the development of computing power is imminent, otherwise it will greatly restrict the development and application of artificial intelligence. There is a big gap between China and the advanced level of the world in terms of computing power and algorithm. The core of computing power is the chip. Therefore, it is necessary to increase R & D investment in the field of computing power to narrow or even catch up with the gap with the developed countries in the world
unit of force
1 KH / S = 1000 hashes per second
1 MH / S = 1000000 hashes per second
1 GH / S = 1000000000 hashes per second
1 th / S = 100000000000 hashes per second
1 pH / S = 100000000000 hashes per second
1 eh / S = 100000000000 hashes per second
Artificial intelligence will replace some people at work. Based on the "five second rule", Li Kaifu predicts that in the next 10 years, about 90% of translation, news reporting, assistant, security, sales, customer service, trading, accounting, driver, housekeeping and other jobs will be completely or partially replaced by artificial intelligence. At the same time, he also believes that most of the work will be transformed into a new form of work
Based on a rough estimate of human work, Li Kaifu predicted that about 50% of human work will be affected by artificial intelligence. So how should the people who are in these easily replaced instries deal with it“ We should think deeply, cross the field, and know what the limitation of AI is. " Li Kaifu said that artificial intelligence is a system of objective judgment based on big data in a single field, so what people need to do is to think more deeply in the strategic and cross domain directionbut artificial intelligence is created by human beings and will not be the overlord
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Artificial intelligence instry chain is divided into basic layer, technology layer and application layer. The foundation layer is the basis of the AI instry chain, which provides computing power support and data input for AI. China has a short development time in this field, and the development of the foundation layer is relatively weak. At present, China's AI enterprises are mainly concentrated in Beijing, Guangdong, Shanghai and Zhejiang, and Beijing's AI development has entered the fast lane
overview of the AI instry chain: the development of the basic layer is weak
the basic layer mainly provides computing power and data support, mainly involving the source and collection of data, including AI chips, sensors, big data, cloud computing, open source framework and data processing services. The data mining, learning and intelligent processing of the technology layer are the bridge between the basic layer and the specific application layer, mainly including machine learning, deep learning, computer vision, natural language processing, speech recognition and so on. According to different scenarios, the application layer applies artificial intelligence technology for commercial landing. The main application fields are driving, security, medical, finance, ecation, etc
- for more data, please refer to the analysis report on market outlook and investment strategic planning of China's artificial intelligence instry by the Research Institute of prospective instry
