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Computing power of AI computing platform

Publish: 2021-05-07 22:13:36
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. 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. 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.
4. 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.
5.

on the afternoon of August 23, 2019, Huawei's Shenzhen headquarters released shengteng 910, the most powerful a processor, and launched a full scene AI computing framework

Xu Zhijun, chairman of wheel of Huawei, said, Huawei has completed the construction of AI solutions for the whole station and scene, and will launch more AI processors in the future to provide more abundant, more economical and more suitable AI computing power

but it gave him a good excuse. He kept shouting that the wolf was coming, the wolf was coming< but I haven't seen his reaction these two days. It is estimated that he is the most shocked

6.

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 consumers

in 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

7.

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

8.

Artificial intelligence has a long history. It appeared as early as the 1970s. It is a branch of computer science. At that time, artificial intelligence, space technology and energy technology were known as the three most advanced technologies in the world. Nowadays, artificial intelligence, together with genetic engineering and nanoscience, is known as the three cutting-edge technologies in the 21st century. In particular, artificial intelligence technology has developed rapidly in recent two years, and has been widely used in many disciplines and achieved fruitful results

take glorious magic, the first AI mobile phone launched at the end of last year, as an example, it has the ability of deep learning and active service. Glory magic can learn users' habits independently, and then bring personalized intimate experience to the owners

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