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Business Times-CHMER Fengjia joins hands to cultivate intelligent mechanical talents
2018/10/25
With the upgrading of global industries and the development of smart machinery, there is an urgent need to introduce more advanced technologies such as AI in the future. Cultivating talents has always been a common problem faced by enterprises. CHMER, a leader in the domestic electrical discharge machining industry, is marketed globally under its own brand CHMER. It develops with the positioning of "Intelligent Non-traditional Machining Total Solution" and is committed to the important task of developing smart machinery to promote the evolution of smart manufacturing capabilities in mold and precision parts processing. CHMER and Fengjia University participated in the "107 Annual Smart Machinery Talent Cultivation Program" of the Industrial Bureau of the Ministry of Economic Affairs. Industry, government and academia work together to jointly invest in the cultivation of cross-field talents in smart machinery, and continue to introduce new energy into the machine tool industry.
General Manager of CHMER Wang Chenhong said: CHMER is committed to becoming a world-class leading brand of non-traditional processing technology solutions, using "intelligentization and high precision" as the twin engines driving the future, and looks forward to jointly cultivating wisdom through the cooperation between industry, government and academia. Mechanical cross-field talents. Participate in the intelligent machinery talent training program, which is to arrange cross-field training courses based on the dual-axis concept, and cooperate with the three departments of Fengjia University - Department of Mechanical and Electrical Engineering, Department of Electrical Engineering, and Precision Studies to become cross-field learning partners. In order to participate in this program The students of Hua create a more diversified learning environment, hoping to broaden their knowledge through cross-field learning and reserve students' energy for development in the field of intelligent machinery.