New technologies represented by ChatGPT have transformed traditional translation work modes and brought unprecedented changes to translation teaching.Based on the development of artificial intelligence-generated conte...New technologies represented by ChatGPT have transformed traditional translation work modes and brought unprecedented changes to translation teaching.Based on the development of artificial intelligence-generated content(AIGC)technology,this article analyzes the challenges it brings to sci-tech translation research in the new era,reshapes the value goals of the“ideological and political guidance+technological empowerment”model of cultivating sci-tech translation talents,proposes tentative approaches about the innovation in the model of sci-tech translation talents in universities of science and engineering,and strengthens the talents’translation competence,language proficiency,and interdisciplinary ability,aiming to provide new perspectives and thoughts for the development of translation research in the AIGC era.展开更多
With the rise of artificial intelligence and the rapid development of industrial applications based on deep learning,the demand for innovative and practical talents is rapidly increased.The cultivation of talents in c...With the rise of artificial intelligence and the rapid development of industrial applications based on deep learning,the demand for innovative and practical talents is rapidly increased.The cultivation of talents in computer discipline has attracted a lot of attention from universities,research institutions,and Internet giants.Subject contests play a crucial role in cultivating top undergraduate talents.This paper proposes a cultivation model that takes the industry application of deep learning as the background,and guides students to learn,practice,and innovate incrementally from machine learning application to deep learning application by participating in subject contests.It aims to help undergraduates to master the cutting-edge technologies and applications,and ultimately cultivate top,innovative,and practical undergraduate talents in the computer field in the era of artificial intelligence.展开更多
基金“Innovative Research on the Cultivation Model of Translation Talents in Science and Engineering Universities under the Background of New Liberal Arts Reform”(202401001012)Multidimensional Teaching Research and Practice in“Literary Translation”Based on Ideological and Political Education(34)。
文摘New technologies represented by ChatGPT have transformed traditional translation work modes and brought unprecedented changes to translation teaching.Based on the development of artificial intelligence-generated content(AIGC)technology,this article analyzes the challenges it brings to sci-tech translation research in the new era,reshapes the value goals of the“ideological and political guidance+technological empowerment”model of cultivating sci-tech translation talents,proposes tentative approaches about the innovation in the model of sci-tech translation talents in universities of science and engineering,and strengthens the talents’translation competence,language proficiency,and interdisciplinary ability,aiming to provide new perspectives and thoughts for the development of translation research in the AIGC era.
基金supported by the National Natural Science Foundation of China(No.62171325)the Experimental Technology Project of Wuhan University(No.WHU-2022-SYJS-11)the New Generation Computer Innovation and Entrepreneurship Center Project of Wuhan University。
文摘With the rise of artificial intelligence and the rapid development of industrial applications based on deep learning,the demand for innovative and practical talents is rapidly increased.The cultivation of talents in computer discipline has attracted a lot of attention from universities,research institutions,and Internet giants.Subject contests play a crucial role in cultivating top undergraduate talents.This paper proposes a cultivation model that takes the industry application of deep learning as the background,and guides students to learn,practice,and innovate incrementally from machine learning application to deep learning application by participating in subject contests.It aims to help undergraduates to master the cutting-edge technologies and applications,and ultimately cultivate top,innovative,and practical undergraduate talents in the computer field in the era of artificial intelligence.
