Calculation force for AI
Publish: 2021-04-13 14:11:42
1.
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
2.
recently, Huawei announced another important news at the full connection conference, that is, the atlas 900, Huawei's AI training cluster, will be released. This atlas 900 is composed of thousands of shengteng 910 AI processors. therefore, Atlas 900 is also known as the world's fastest AI training cluster. So, which scenarios are suitable for such a good AI training cluster
Huawei atlas 900 with super computing power can be used in such a major field as science and technology, which has to make people look at Huawei with new eyes. because so far, no company has been able to independently develop such a powerful AI training cluster, so we all look forward to Huawei bringing us more surprises
3. AI has a lot to do with computing power. The driving force to promote the development of artificial intelligence is algorithm, data and computing power. These three elements are indispensable, which are the necessary conditions for the achievement of artificial intelligence
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 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.
4. Let me explain to you that Tron is the world's largest decentralized blockchain application operating system founded by sun Yuchen. It has become the only Chinese virtual currency with market value among the top ten. At the beginning of 2021, the total number of users of BoChang public chain exceeded 21 million, becoming the only Chinese chain among the three major public chains in the world, with a total of 1.5 billion transactions, running the largest DAPP ecosystem in the world. Did you know that?
5. For those virtual currency transactions, it's better not to deal with them. Those with great risks have to deal with them. Only bitcoin, grapefruit and Ethereum are safe. Others may be dangerous at any time.
6.
The top ten virtual currency trading platforms are: bitcoin China, Ethereum, Monroe, dascoin, reborn, etc.
Bitcoin China (BTCC), the first and largest bitcoin trading platform in China, is operated by Shanghai satuxi Network Co., Ltd., which was established on June 9, 2011. The team members are mainly from China, Silicon Valley and Europebitcoin China provides a reliable trading platform for users to buy and sell bitcoin through RMB
users can also save bitcoin safely in the platform
bitcoin China has achieved the best balance between high security and user convenience
4. Monro (code name XmR) is an open source cryptocurrency founded in April 2014, which focuses on privacy, decentralization and scalability. Unlike many cryptocurrencies derived from bitcoin, monero is based on cryptonote protocol and has significant algorithm differences in blockchain fuzziness
Dash, formerly known as dark coin, is a technical improvement on the basis of bitcoin. It has good anonymity and decentralization. It is the first digital currency with the purpose of protecting privacy. You can feel that it is liked by the black market when you listen to its name The main characteristics of Dashi coin are as follows:1
2. Instant payment function, timely arrival and low handling charge
7. In the heavily infected area of shashibao, there are many high-level monsters guarding, but the smoke bomb is thrown to them, and then open the box quickly. You can get good things. It's very practical.
8.
The annual salaries of the two scientists reach one million dollars. It is reported that Alibaba artificial intelligence laboratory is mainly composed of R & D personnel, accounting for about 80%. In addition to Chen Ying and Tan Ping, the core proct and technology R & D team also includes Chen Lijuan, the person in charge, Nie Zaiqing, the chief scientist of voice technology, Li Jianye, the chief designer, Ru Yi, the general manager of hardware terminal, Du Haitao, the general manager of proct operation, etc
According to Ali, Dr. Chen Ying's professional accumulation can help Ali improve its visual ability and better empower aiot ecological partners. At the same time, Ali's business can provide rich research scenarios for it to continue to explore the machine's understanding of the world and people. In Tan Ping's opinion, Ali mainly focuses on his own experience in algorithm. "In recent years, AI has been very popular, among which there is more work to do two-dimensional image recognition and detection, but there is still a lack of three-dimensional vision."“ The realistic 3D reconstruction technology that Professor Tan Ping is engaged in can help Ali build 3D models of commodities and stores and create immersive e-commerce experience. " Ali said. Tan Ping said that the team may do a holographic world project in the future. By establishing a three-dimensional digital version of the real world, users can do many things in the real world in the virtual world. For example, users can shop in the virtual store, and the store can also get rid of the space restrictions, and update the space or goods in real time, which is more rich and three-dimensional than the simple commodity list, so as to improve the shopping experience of consumersin addition to shopping in 3D space, Tan Ping and his team will also study the landing of AR or robot navigation procts in the future
9. 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 other things such as consciousness, self and mind (including unconsciousness)_ 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< At present, artificial intelligence has been paid more and more attention in the field of computer. And it has been applied in robot, economic and political decision-making, control system, simulation system -- machine vision: fingerprint recognition, face recognition, retinal recognition, iris recognition, palmprint recognition, expert system, etc
Artificial Intelligence (AI) is a discipline that studies the interpretation and Simulation of human intelligence, intelligent behavior and its laws. Its main task is to establish the theory of intelligent information processing, and then design the computing system which can show some similar human intelligent behavior. AI, as an important branch of computer science and a broad new field of computer application, together with atomic energy technology and space technology, is known as the three top technologies in the 20th century
the main research contents of artificial intelligence include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robot, automatic programming and so on
knowledge representation is one of the basic problems in artificial intelligence. Reasoning and searching are closely related to representation methods. Common knowledge representation methods include logic representation, proction representation, semantic network representation and frame representation
common sense naturally attracts people's attention. Many methods have been proposed, such as non monotonic reasoning and qualitative reasoning, to express and deal with common sense from different angles
automatic reasoning in problem solving is the process of using knowledge. Because there are many kinds of knowledge representation methods, there are many kinds of reasoning methods. Reasoning process can be divided into dective reasoning and non dective reasoning. Predicate logic is the basis of dective reasoning. Inheritance performance reasoning in structured representation is non dective. Due to the need of knowledge processing, a variety of non reasoning methods have been proposed in recent years, such as connection mechanism reasoning, analogy reasoning, case-based reasoning, backward reasoning and restricted reasoning
search is a problem solving method of artificial intelligence, and the search strategy determines the priority of knowledge used in a reasoning step of problem solving. It can be divided into blind search without information guidance and heuristic search with experience knowledge guidance. Heuristic knowledge is often represented by heuristic functions. The more fully the heuristic knowledge is used, the smaller the search space is. Typical heuristic search methods include a * and AO * algorithms. In recent years, the research of search methods began to pay attention to the super large-scale search problems with millions of nodes
machine learning is another important topic of artificial intelligence. Machine learning refers to the process of acquiring new knowledge in a certain sense of knowledge representation. According to different learning mechanisms, it mainly includes inction learning, analysis learning, connection mechanism learning and genetic learning
knowledge processing system is mainly composed of knowledge base and inference engine. When the amount of knowledge is large and there are many kinds of representation methods, the reasonable organization and management of knowledge is important. In order to record the results or communicate, a database or blackboard mechanism should be set up. If the expert knowledge of a certain field (such as medical diagnosis) is stored in the knowledge base, such knowledge system is called expert system. In order to meet the needs of solving complex problems, a single expert system is developing to a multi-agent distributed artificial intelligence system. At this time, knowledge sharing, cooperation between agents, and the emergence and handling of contradictions will be the key issues
need mathematical foundation: Advanced Mathematics, linear algebra, probability theory, mathematical statistics and random process, discrete mathematics, numerical analysis
it needs the accumulation of algorithms: artificial neural network, support vector machine, genetic algorithm and so on; Of course, there are also algorithms needed in various fields. For example, slam needs to be studied to make the robot navigate and map in the location environment; In short, many algorithms need time accumulation
you need to master at least one programming language, after all, the implementation of the algorithm still needs programming; If we go deep into the hardware, some electrical basic courses are essential.
there are many questions about "intelligence". This involves other things such as consciousness, self and mind (including unconsciousness)_ 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< At present, artificial intelligence has been paid more and more attention in the field of computer. And it has been applied in robot, economic and political decision-making, control system, simulation system -- machine vision: fingerprint recognition, face recognition, retinal recognition, iris recognition, palmprint recognition, expert system, etc
Artificial Intelligence (AI) is a discipline that studies the interpretation and Simulation of human intelligence, intelligent behavior and its laws. Its main task is to establish the theory of intelligent information processing, and then design the computing system which can show some similar human intelligent behavior. AI, as an important branch of computer science and a broad new field of computer application, together with atomic energy technology and space technology, is known as the three top technologies in the 20th century
the main research contents of artificial intelligence include: knowledge representation, automatic reasoning and search method, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robot, automatic programming and so on
knowledge representation is one of the basic problems in artificial intelligence. Reasoning and searching are closely related to representation methods. Common knowledge representation methods include logic representation, proction representation, semantic network representation and frame representation
common sense naturally attracts people's attention. Many methods have been proposed, such as non monotonic reasoning and qualitative reasoning, to express and deal with common sense from different angles
automatic reasoning in problem solving is the process of using knowledge. Because there are many kinds of knowledge representation methods, there are many kinds of reasoning methods. Reasoning process can be divided into dective reasoning and non dective reasoning. Predicate logic is the basis of dective reasoning. Inheritance performance reasoning in structured representation is non dective. Due to the need of knowledge processing, a variety of non reasoning methods have been proposed in recent years, such as connection mechanism reasoning, analogy reasoning, case-based reasoning, backward reasoning and restricted reasoning
search is a problem solving method of artificial intelligence, and the search strategy determines the priority of knowledge used in a reasoning step of problem solving. It can be divided into blind search without information guidance and heuristic search with experience knowledge guidance. Heuristic knowledge is often represented by heuristic functions. The more fully the heuristic knowledge is used, the smaller the search space is. Typical heuristic search methods include a * and AO * algorithms. In recent years, the research of search methods began to pay attention to the super large-scale search problems with millions of nodes
machine learning is another important topic of artificial intelligence. Machine learning refers to the process of acquiring new knowledge in a certain sense of knowledge representation. According to different learning mechanisms, it mainly includes inction learning, analysis learning, connection mechanism learning and genetic learning
knowledge processing system is mainly composed of knowledge base and inference engine. When the amount of knowledge is large and there are many kinds of representation methods, the reasonable organization and management of knowledge is important. In order to record the results or communicate, a database or blackboard mechanism should be set up. If the expert knowledge of a certain field (such as medical diagnosis) is stored in the knowledge base, such knowledge system is called expert system. In order to meet the needs of solving complex problems, a single expert system is developing to a multi-agent distributed artificial intelligence system. At this time, knowledge sharing, cooperation between agents, and the emergence and handling of contradictions will be the key issues
need mathematical foundation: Advanced Mathematics, linear algebra, probability theory, mathematical statistics and random process, discrete mathematics, numerical analysis
it needs the accumulation of algorithms: artificial neural network, support vector machine, genetic algorithm and so on; Of course, there are also algorithms needed in various fields. For example, slam needs to be studied to make the robot navigate and map in the location environment; In short, many algorithms need time accumulation
you need to master at least one programming language, after all, the implementation of the algorithm still needs programming; If we go deep into the hardware, some electrical basic courses are essential.
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