What provides computing power for AI is
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
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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
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.
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.
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
The development of artificial intelligence has more advantages than disadvantages for human beings. This is the foundation for the development of AI and the first step in this field! The development of a science and technology must include theory and application. In 1956, the concept of AI was put forward, and then scholars made a breakthrough in thinking model, mathematical logic and heuristic program, and made artificial intelligence have preliminary self-learning and adaptive ability. Specifically, the checkers program invented by Samuel in 1956 defeated himself in 1959, and defeated a state checkers champion in 1962. In 1958, McCarthy developed processing programming language lisp, which became a milestone in the research of artificial intelligence language program. In short, with the joint efforts of experts, scholars and programmers in various fields, artificial intelligence has made a leap forward development{ RRRRR}
the future of AI is enormous! At present, AI has been in the automotive instry, mobile phone instry, digital camera instry and various high-tech fields. In particular, the tide of Internet + is coming, which makes AI more useful. The application in the field of medicine can improve the medical service to a new level. China has also clearly put forward "made in China 2025", in which AI has also invested huge attention! In other words, AI will show more unique value in more fields in the future. Among many problems that human beings will encounter in the future, artificial intelligence is our powerful tool
In Piaget's genetic epistemology, children's self-centered concept is of great significance ·