Corporate news

The picture shows Technology was invited to attend the 38th China Computer Application Conference

2023-10-12 18:37:06 tuwei312

 

The 38th China Computer Applications Conference (CCF NCCA 2023) and 2023 Artificial Intelligence + Application Academic Conference were held in Suzhou from July 16 to 19.

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The conference is hosted by the Chinese Computer Federation (CCF), organized by the CCF Computer Application Professional Committee, co-organized by Soochow University, Soochow University of Science and Technology, Nanjing University of Science and Technology and other units, the picture shows that science and technology was invited to participate in this meeting, the picture shows the CEO of science and technology - Su Shipeng gave a special speech on the intelligent manufacturing forum.


The productivity of modern human beings depends on industrial capabilities, and the industrial revolution is an important driving force for modern human progress. So far, mankind has experienced four industrial revolutions:

  1.0 - 60s of the 18th century

The British Watt made the first steam engine, and thus mankind officially entered the industrial age from the agricultural age;


  2.0 - 60s of the 19th century

Electricity began to be widely used, and a second fossil energy source - oil began to be used;


  3.0 - 1946

The United States developed the first binary computer, and mankind has entered the computer age;


  4.0--2010-present

Following the third industrial revolution triggered by the Internet, artificial intelligence technology driven by big data is driving the fourth industrial revolution, and the industrial revolution 4.0 - the intelligent era is coming.

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Intelligent Manufacturing Thematic Forum - Technology Exploration from Digitalization to Intelligence.

With the further deepening of the integration of computer application technology represented by artificial intelligence, big data, cloud computing, edge computing, 5G, etc. and all walks of life, building a more efficient, intelligent and safer technical system has become the demand of various industries.


What opportunities will the combination of edge computing and big models create?


  The picture shows that Su Shipeng, CEO of Science and Technology, delivered a keynote speech on this topic.

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From data collection, to data processing, to data transmission, and finally to data application, in the era of rapid development of artificial intelligence, throughout the entire ecological chain, data is the most core production factor.


The data acquisition and data transmission module is very mature, and data computing is currently the module that artificial intelligence companies are investing in and focusing on the layout of card slots, and in this module, the infrastructure construction of computing power is still in full swing.


At present, the language large model represented by ChatGPT is successively introduced to the market, and the special small model based on the subdivision of the large model will be quickly introduced to the market, who can improve the small model and apply it in the subdivision field, who can seize the opportunity and seize the market.


Artificial intelligence will eventually play a role in all walks of life and create value, and it must complete the digitization of data through the reasoning of edge computers, and then do data applications (commercial monetization) based on digitalization.

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With the revolutionary wave brought by Industry 4.0, the Internet of Things and artificial intelligence gradually popularized, the data generated by enterprise operation will be more and more, and the ability to analyze and process these data will become the key to enterprise competition, this process will inevitably give birth to digital enterprises, as well as other new products and services, bringing new opportunities to various industries.

TWOWINThe picture shows that technology is ready to accept the changes in all aspects of Industry 4.0, fully grasp the opportunities, and use the technology and application of edge computing and large models to provide enterprises with more intelligent and efficient solutions to help enterprises achieve digital transformation and upgrading!