8 large models, 30 application scenarios, 13 intelligent terminals... Guangdong has launched a large wave of AI products on the market
2025-04-09
At 9:30 am on April 9th, the Information Office of the Guangdong Provincial People's Government held a press conference on innovative products and services in the artificial intelligence and robotics industry in Guangdong Province, with a large wave of AI products being launched. At the meeting, Qu Xiaojie, Deputy Director of the Department of Industry and Information Technology of Guangdong Province, released 8 large-scale models of the artificial intelligence industry. The 8 industry models released today have been preliminarily applied in related fields and have achieved significant results, "said Qu Xiaojie. In the industrial field, Guangdong Zhiye's lean artificial intelligence platform has improved the product quality of the semiconductor packaging industry by about 3% and increased production capacity by about 4%; Boyite has launched the world's first large-scale process model for the pulp and paper industry, with an average production efficiency increase of 10% and a manufacturing cost reduction of 4%. In the field of security, Shenxin's security big model can work 24 hours a day without interruption, reducing the workload of security operations that require multiple manual operations by 92%. In the field of education, the Xiwo big model of Shiyuan Group has shortened teachers' lesson preparation time from 2 hours to 30 minutes; The pixel grid object large model saves teachers about 30% of homework grading time and reduces educational resource production costs by about 20%. In addition, there are also medical examination models in the medical field, global data science and tourism models in the cultural and tourism field, legal image models in the risk control and compliance field, and intelligent element origin models in the knowledge base Q&A field, all of which have achieved intuitive and perceptible application effects in cost reduction, efficiency improvement, or quality enhancement. In addition, 30 application scenarios were also released at the meeting. Qu Xiaojie stated that in the industrial field, he has sorted out the full process scenarios of research and development, production, quality inspection, and management in 10 major sub sectors such as electronic information, automobiles, mechanical equipment, textiles and clothing, and home appliances. For example, the AI design software of Diexun can shorten the time for clothing design and layout from one day to a few minutes; The automated production line of Ligong Industrial will increase efficiency by 30% and reduce costs by 40% -60%. In the field of education, five typical scenarios have been sorted out, including learning, teaching, experimentation, resource distribution, evaluation, and decision support. For example, the Xiwo Classroom Intelligent Feedback System of Shiyuan Group has generated over 150000 feedback reports. In the medical field, 10 typical scenarios have been sorted out, including imaging diagnosis, clinical decision-making, surgical planning, outpatient triage, and medical consultation. For example, Mindray Medical and Tencent jointly developed the world's first clinically implemented "Qiyuan Critical Care Model", which has increased doctors' work efficiency by more than 30 times. In the field of safety, five typical scenarios have been sorted out, including production risk monitoring and early warning, safety behavior recognition, emergency rescue decision-making, disaster scene situational awareness, and robot rescue and search. For example, Yuanzheng Intelligent's aluminum processing safety production management platform has reduced the number of safety event alarms by 53%. Having a good big model and application scenarios on the demand side, the key is to have excellent solutions on the supply side to effectively turn scenario requirements into practical applications. So, next, we will release 29 artificial intelligence application solutions, which are pain points for Guangdong enterprises in various industries and have achieved good results in practical application Qu Xiaojie introduced that in the industrial field, it has solved problems such as high labor costs, low accuracy, and uncontrollable quality in quality inspection, as well as difficulties in integrating information across systems and relying too much on experience for decision-making in production control. For example, the application of the Smart Cloud quality inspection solution in the textile industry has saved 30% of labor costs and achieved a product qualification rate of over 99%; The intelligent control plan of Guangzhou Industrial Intelligence Research Institute has increased the production efficiency of textile printing and dyeing enterprises by 33%, reduced production costs by 22%, and achieved a per capita annual output value of 1.35 million yuan. In the medical field, the pain points of slow report generation, low accuracy of report interpretation, and low consulting efficiency have been solved. For example, the intelligent application of Jinyu Medical has increased the efficiency of generating pathological reports by 70%. In the field of education, the problems of weak practical ability of students, difficult traceability of experimental processes, low efficiency of human resource evaluation, and unequal distribution of educational resources have been solved. For example, the digitization laboratory for pixel data has reduced exam management costs by 80%. In the field of transportation, it has solved the problems of information transmission reduction, reliance on high-precision maps, and difficulty in dealing with complex road conditions in traditional intelligent driving. For example, the Yuanrong Qixing advanced intelligent driving platform achieved a 96% accuracy in road selection on complex urban roads. In the financial field, it has solved the problems of difficult credit information review, difficult risk detection, time-consuming and uneven quality of manually writing credit reports. For example, the input and summary calculation efficiency of DiBo AI Credit Assistant has increased by more than 40 times compared to manual labor. In the field of daily life, it has solved problems such as poor compatibility, insufficient personalization, lagging maintenance, and slow emergency response of smart homes. For example, Guangzhou Chuo Li's integrated management of elevators and buildings can reduce the risk of malfunctions by 30% and rescue time by 50%, and improve equipment operation efficiency by 40%. In addition, replicable solutions have emerged in multiple fields such as energy, agriculture, business services, urban governance, and cross industry applications. Since 2023, we have been organizing terminal product manufacturing enterprises in Guangdong Province to closely follow and improve around the development of artificial intelligence technology, deeply penetrating, integrating and innovating artificial intelligence technology into the entire process of terminal product production. So, in the end, we will release 13 smart terminal products Qu Xiaojie introduced that in terms of industrial terminals, the Xuanyu CNC machine tool intelligent system has been widely used in the 3C manufacturing and automotive manufacturing industries, improving processing efficiency by 5% to 20% and production capacity by 10% to 25%; Huashu heavy-duty robots have been used in processes such as handling, riveting, and drilling. In terms of medical terminals, AI guided digital personnel can enable hospitals to receive 10% more patients per day, thereby increasing revenue and saving millions of yuan in manual customer service costs annually; The automated microscopy imaging platform and intelligent analysis cloud have created economic benefits of over 100 million yuan in more than 200 institutions across the country. In terms of virtual reality terminals, there are various product categories such as AI naked eye 3D displays, VR adaptive intelligent perception equipment, embodied intelligent robot arm operating rods, etc. In terms of security terminals, there is a rich supply of products such as AI perception assistants, AI cameras, and intelligent vehicle monitoring terminals. In addition, there are diverse products such as brain computer AI mice, autonomous flying drones, and dynamic traffic AI robots. (New Society)
Edit:He Chuanning Responsible editor:Su Suiyue
Source:Nanfang Daily
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