ChatGPT inspires AI craze, and manufacturing industry accelerates exploration of AI applications

In just two months since its launch, the number of users of ChatGPT has exceeded 100 million, making it the fastest growing consumer application in history. Bill Gates even commented that "ChatGPT is as significant as the birth of the PC and the Internet." Whether it is praise from industry leaders, various data feedback, or frequent headlines in major media, the impact of ChatGPT is obvious to all, and it has also triggered a new artificial intelligence boom in the world.

In response to questions related to ChatGPT, the Ministry of Science and Technology stated that artificial intelligence, as a strategic emerging technology, has increasingly become an important driving force for technological innovation, industrial upgrading and productivity improvement. Human-computer dialogue based on natural language understanding is an important direction in the development of artificial intelligence. ChatGPT has recently formed a phenomenon-level application, showing a high level of human-computer interaction, and showing that large models of natural language have become universally oriented. Some characteristics of artificial intelligence have broad application potential in many industries.

As a conversational artificial intelligence model launched by OpenAI, the algorithm and training process behind the ChatGPT model are even more novel. Through the innovative use of semi-supervised learning algorithms, ChatGPT makes the generated text models more "organized", which can change the way enterprises collect data, information management and content output, and is expected to drive the implementation of artificial intelligence in more scenarios. For example, when an enterprise conducts logistics dispatch, a ChatGPT-like model can change the information distribution and acquisition mode, and adopt more efficient human-computer interaction mode and cognitive intelligence technology to help workers optimize the route of goods and quickly sort and position them.

For a long time, relying on the "intelligent" paradigm, artificial intelligence has had a wealth of application scenarios in the manufacturing industry, covering product design, planning and scheduling, production process optimization, and quality inspection. , park logistics, equipment health management, marketing services, supply chain management and many other fields, including intelligent voice interaction products, image recognition, face recognition, image search, voiceprint recognition, text recognition, machine translation, machine learning, big data computing , data visualization and other forms.

For the manufacturing industry, scenario innovation will become a new path for artificial intelligence technology upgrading and industrial growth. Scenario innovation results continue to emerge, which can further promote the deep integration of artificial intelligence and manufacturing. . In August 2022, the "Guiding Opinions on Accelerating Scenario Innovation and Promoting High-Quality Economic Development with High-level Application of Artificial Intelligence" issued by six departments including the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the Ministry of Industry and Information Technology of the People's Republic of China proposed to strongly support specialized and new "little giants" and unicorns. Beasts, artificial intelligence start-ups, etc. actively carry out scenario innovation. In the manufacturing field, priority is given to exploring intelligent scenarios such as industrial brains, robot-assisted manufacturing, machine vision industrial inspection, and equipment interconnection management.

According to data from the Ministry of Industry and Information Technology, the scale of my country's core artificial intelligence industry will exceed 400 billion yuan in 2022, with the number of companies exceeding 3,000. The industry scale has increased 2.6 times in five years, and its global share has increased. to 16.8%; the proportion of patent applications in the world continues to expand, from 13% to 70.9% in ten years. At present, a complete industrial chain covering the basic layer, technology layer, and application layer has initially been formed in China, especially in emerging fields such as intelligent robots, smart cars, wearable devices, and virtual reality, which has spawned a number of leading companies.

Artificial Intelligence Manufacturing Application Market Scale

It can be seen that with the continuous growth of market demand With the increase and diversification, the application of artificial intelligence in the manufacturing industry is accelerating and is increasingly showing a trend of group breakthroughs. However, it is worth noting that due to the huge differences between different industrial fields, the complexity and process threshold are very high, the continuous learning process of artificial intelligence and the fuzzy output results at this stage are still unable to meet the high precision pursued in the production and manufacturing process. , high reliability requirements. Therefore, many artificial intelligence application scenarios in the manufacturing industry are still based on perceptual intelligence and do not involve the core business systems of enterprises. In addition, due to constraints such as insufficient understanding of artificial intelligence scenario innovation, lack of industrial scenario data, and lack of comprehensive talents, domestic manufacturing companies still have problems such as insufficient design capabilities for typical application scenarios and imperfect scenario innovation ecology.

The AI ​​craze inspired by ChatGPT will promote the manufacturing industry to explore the application of artificial intelligence to a certain extent. The Ministry of Science and Technology has made it clear that it will continue to provide strong support to artificial intelligence as a strategic emerging industry; the Ministry of Industry and Information Technology has stated that it will focus on the development of key areas represented by 5G and artificial intelligence, and continue to enrich and expand new application scenarios. Next, scenario innovation will become a new path for artificial intelligence technology upgrading and industrial growth, further promoting the deep integration of artificial intelligence and manufacturing. ​

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