On May 27, the sixth phase of the AICA chief AI architect training program jointly initiated by the National Engineering Research Center for in-depth learning technology and application and Baidu ushered in the opening ceremony. 105 enterprise CTOs, scientists and technical executives from dozens of key industries such as energy, industrial manufacturing, finance, transportation and logistics gathered in the cloud to officially start the advanced journey of the chief AI architect. The new generation of information technology represented by artificial intelligence has become one of the important technical guarantees and core driving forces to promote high-quality economic development, build an innovative country and realize industrial intelligence during the "fourteenth five year plan" period. It can be predicted that the leapfrog development of China's science and technology industry not only requires the continuous upgrading of infrastructure at the technical level, but also puts forward higher requirements for the quantity and quality of AI talent training. In the process of promoting the large-scale application of artificial intelligence technology, Baidu PaddlePaddle industrial level in-depth learning open source open platform provides all-round support for the industry and the majority of developers. Recently, the Wenxin large model in the propeller industrial model library released the latest panorama and launched the industry's first large model. It strengthened the construction from the three aspects of model, platform and ecology to promote the implementation of the large model industry. In terms of talent training, AICA's chief AI architect training plan has widely introduced top technical experts, industrial application experience and ecological enabling resources in Baidu's AI field to promote the establishment of industrial AI talent training standards and help the industry solve the problem of high-end composite AI talent training. At the opening ceremony of the sixth AICA, Wu Tian, vice president of Baidu group and deputy director of the National Engineering Research Center for in-depth learning technology and application, said that promoting intelligent development requires compound AI talents who understand both innovation and business logic, and can creatively introduce new technologies into the business to solve problems. Since its establishment in 2019, AICA has held five sessions and trained 247 AI architects. The topics of this session of students cover more in-depth industry issues in various fields. It is believed that the students can establish AI thinking and methodology in industrial application with the strong support of the large model of flying propeller and Wenxin, so as to further and further bring AI technology into the industry. In the sixth phase of AICA's chief AI architect training program, more than 700 applicants were selected layer by layer, and 105 students from the national energy administration, Chinese Academy of Sciences, GAC Honda, FAW, softcom power, China Mobile, Hikvision, country garden and other enterprises were finally enrolled. The proportion of senior technical managers such as the first technical officer and scientists of the enterprise increased again, reaching 92.7%; The total number of trainees from top 500 enterprises and leading enterprises specialized in special and new products reached 78, accounting for 74.29% of the total; Among the enterprise students, the AI elites of overseas enterprises and the elites of Forbes' subdivisions appeared for the first time. The background experience and ability model of the students will be expanded in the direction of more specialization, engineering and internationalization. At the opening ceremony, mayanjun, general manager of Baidu AI technology ecology, made an in-depth interpretation of AI architects in the wave of the intelligent era. He said that AI architects are new compound talents born in the AI era, and need three core competencies: the ability to master AI technology and development application process as a whole, the ability to abstract business problems, and the ability to design and implement efficient and reasonable AI landing solutions. At the same time, they also need to have comprehensive quality to give full play to the role of AI technology in helping businesses. The speed and effectiveness of industrial digital transformation and intelligent upgrading are closely related to the excavation and training of talents. Wuhui, vice president of Baidu and head of the learning and development center, shared Baidu's AI talent training system. She pointed out that AI changes the world and requires continuous innovation of industry intelligent leading talents. Baidu has built a multi-level, high-level and high-quality industrial AI talent echelon through the AI Financing Innovation workshop, the training plan for chief AI architects, the five-year training of 5million AI talents, the AIDU plan and other measures, so as to achieve a positive cycle between "co creation", "co learning" and "sharing" human resources and industrial upgrading. As a leading representative of the new student enterprise, liuhuifu, CTO of softcom power group, said that Baidu's AI technology is leading in the industry, and he hopes to use this AICA training as a spark to continue his fate with Baidu PaddlePaddle. At the same time, we also expect to make joint innovation with Baidu in the vertical industry scene based on the digital people, and achieve win-win business in the vertical industry through the technical ability, talent training and joint program research and development of both sides. Wangyanqiang, a representative of previous excellent students and a member of the National Marine Environment Prediction Center, shared his training experience. In combination with his research on the AICA subject of ocean tide prediction technology based on deep learning, he shared the most cutting-edge technical experience and industrial practice results of artificial intelligence obtained during his study. He also said that he has gained the most professional architect thinking and rich project experience through the all-round guidance of the "three division system" of teaching teachers, guidance experts and teaching assistants and the exchange of excellent students from all walks of life. It is reported that the teaching plan of the training plan for AICA's chief AI architects in this period includes four closed core courses, several elective courses and activities. Students will actively promote the implementation and application of enterprise AI projects through the whole process of opening report, expert teaching, project discussion and graduation defense. At the same time, it will follow the tradition of "flight teaching assistants" to provide new students with continuous industrial landing consultation and technical guidance. The essence of industrial transformation and upgrading is the upgrading of talents. At the stage of AI industrial mass production, the application of artificial intelligence technology is widely and deeply penetrating into thousands of industries and benefiting thousands of households. The importance of AI high-end talents is self-evident. Baidu's "chief AI architect training plan" will also continue to provide strong knowledge, experience and resource support for enterprise students, increase the training of high-end composite AI talents in the AI field, and provide power support for industrial transformation and upgrading and innovation. (Xinhua News Agency)