Computing power and artificial intelligence

1.

The types of chips that provide computing power for AI include GPU, FPGA and ASIC

GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering

FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future

ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC

extended data:

chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption

2. The view of tenth power computing power leasing platform: as for whether computing power is used to rent, it depends on the conditions of the enterprise. Large enterprises with relatively strong strength can usually purchase a large amount of hardware and software to establish their own computing power centers< However, at present, many small and medium-sized enterprises are still facing the situation of "insufficient computing power, high cost and difficult to obtain". In addition, the demand of some enterprises for computing power is often flexible. If they create their own computing power center, they need to spend a lot of money, and they are also facing problems such as insufficient scalability and low efficiency. Therefore, in view of this situation, many enterprises will give priority to "renting computing power".

3. Artificial intelligence includes five core technologies:

1. Computer vision technology uses the sequence composed of image processing operation and machine learning technology to decompose image analysis tasks into small tasks that are easy to manage
2. Machine learning: machine learning is to automatically discover patterns from data. Once patterns are found, they can be predicted. The more data they process, the more accurate the prediction will be
3. Natural language processing: the processing of natural language text refers to the ability of computer to process text similar to that of human beings. For example, automatically identify the person and place mentioned in the document, or extract the terms in the contract to make a table
4. Robotics: in recent years, with the improvement of algorithms and other core technologies, robots have made important breakthroughs. For example, UAV, domestic robot, medical robot, etc
5. Biometrics technology: biometrics can integrate computer, optics, acoustics, biosensors and biostatistics, and use the inherent biological characteristics of human body, such as fingerprint, face, iris, vein, voice and gait, to conct personal identification, which was initially used in judicial identification.

4. Artificial intelligence (a branch of Computer Science)

artificial intelligence, abbreviated as AI. It is a new technical science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science. It attempts to understand the essence of intelligence and proce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system. Artificial intelligence is a new technology science which researches and develops the theory, method, technology and application system for simulating, extending and expanding human intelligence. Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application field has been expanding, but there is no unified definition
artificial intelligence is the simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human and may surpass human intelligence. But this kind of advanced AI that can think for itself still needs a breakthrough in scientific theory and engineering
artificial intelligence is a very challenging science. People engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very wide range of science, it is composed of different fields, such as machine learning, computer vision and so on. Generally speaking, one of the main goals of artificial intelligence research is to enable machines to be competent for some complex tasks that usually need human intelligence to complete. But different times and different people have different understanding of this kind of "complex work"
the definition of artificial intelligence can be divided into two parts, namely "artificial" and "intelligence"“ "Artificial" is easy to understand and not controversial. Sometimes we have to consider what human beings can proce, or whether the level of human intelligence is high enough to create artificial intelligence, and so on. But generally speaking, "artificial system" is the artificial system in the general sense
there are many questions about "intelligence". This involves others such as consciousness, self and mind (including unconsciousness)_ Mind) and so on. It is generally accepted that the only intelligence people understand is their own intelligence. However, our understanding of our own intelligence is very limited, and our understanding of the necessary elements of human intelligence is also limited, so it is difficult to define what "artificial" manufacturing "intelligence" is. Therefore, the research of artificial intelligence often involves the research of human intelligence itself. Other intelligence about animals or other artificial systems is also generally considered as a research topic related to artificial intelligence
artificial intelligence has been paid more and more attention in the field of computer. It has been applied in robot, economic and political decision-making, control system and simulation system.

5. Although both inside and outside the instry can feel the hot wave of artificial intelligence in recent years, in fact, artificial intelligence technology does not appear in recent years. Since the 1950s and 1960s, artificial intelligence algorithms and technologies have been hot for a time. With the development of time, they continue to evolve and evolve, and have experienced a process from heat to decay
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

6.

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 direction

but artificial intelligence is created by human beings and will not be the overlord

7. With the development and integration of artificial intelligence, big data and computing power, the three have been organically integrated into an intelligent whole. Its connotation and denotation tend to be diversified, and the applications in various subdivision fields are also rich and superimposed. You have me and I have you. The difference and boundary between artificial intelligence, big data and computing power are more and more blurred
at this stage, the application of artificial intelligence and big data has penetrated into various fields such as instry, agriculture, medicine, national defense, economy, ecation and so on, and the commercial and social value generated is almost unlimited. With the development of artificial intelligence and Internet of things, cloud computing is no longer limited to storage and computing, and has become an important driving force for the development and transformation of various instries. You can learn more about AI, big data and computing power on the 10th power computing power platform.

8. 5g is the fifth generation mobile communication technology and the next generation of 4G mobile communication technology. 5g includes three application scenarios, namely enhanced mobile broadband (embB), massive machine communication (mmtc) and ultra-high reliability low delay communication (urllc). Compared with 4G, 5g has faster speed, less delay and more applications
take the 5g CPE pro (balong5000 chip) released by Huawei in January as an example, the theoretical uplink rate is 1Gbps and the downlink rate is 4 Gbps. Generally speaking, the theoretical uplink rate of 4G mobile phone is 10mbps-100mbps, and the downlink rate is 75mbps-1.4gbps. Theoretical 5g is 10-100 times faster than 4G
5g can provide lower delay, which theoretically can reach 1-4 MS, while 4G's delay is about 10-20 MS, 5g's delay is 5-10 times lower than 4G's
it is precisely because 5g provides a more reliable network connection, which can be applied in instries with higher speed and delay requirements, such as driverless, remote surgery, large-scale events and live VR of concerts.