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Integrating Tech Industry Applications and Academic Studies in China

Academics and industry experts in China called for new training formats for talent in the Artificial Intelligence (AI) field to better fit with the latest industry shifts and development trends as AI-backed industry applications increase steadily.

There is an increasing trend of integration between industry applications and AI. On the other hand, it is becoming easier for developers to build AI-based applications with ready-to-use modules. A dozen of small and medium developers were given an innovation breakthrough award for their AI applications based on the deep-learning platform.

Combining research and academic studies with real product design and coding processes to help students gain hands-on experience is also essential for AI companies’ partnerships with colleges.

– Zhou Aimin, Deputy Director, Institute of AI Education & Vice Dean, School of Computer Science and Technology, East China Normal University

The School of Information and Communications Engineering of Xi’an Jiaotong University has started to collaborate with tech giants to educate college students and has built curricula and training programs specific to the field.

Recently, a tech giant unveiled its public technology sharing platform in the Pudong New Area to empower local research institutions. It aims to establish at least 15 such deep learning application sharing centres in the future through partnerships with regional government authorities to co-build AI models and tools and utilise the newest and best practices to attract more developers from all types of industries.

Driven both by the new theories and technologies and the strong demand for socioeconomic development, AI has developed rapidly. A set of new features such as deep learning, cross-border integration, human-computer cooperation, group intelligence sharing and free manoeuvre have emerged.

The general advancement of AI-related disciplines, theoretical modelling, technological innovation and software and hardware update is triggering a chain of breakthroughs, boosting transformation from digitisation and Internetisation to intelligentisation in all aspects of the social and economic sphere.

As a core driving force for the next round of industrial transformation, AI will further release the huge energy accumulated over the previous technological and industrial transformation, create a new engine for restructuring production, distribution, exchanges and consumption, build up new demand for intelligentisation in both macro and micro sense, create new technology, products, industries, dynamics and models, trigger a major transformation of economic structure, deeply alter human life and thinking and realise the advancement of social productivity.

AI brings new opportunities for social development. China is now at a critical juncture of building a relatively well-off society in an all-around way while it is facing severe challenges like ageing population and resource and environment restraint. AI boasts broad applications in education, medical care, provision for the aged, environmental protection, urban operation and judicial service, which will markedly improve targeted public service and people’s livelihood.

AI technology can accurately perceive, predict and offer an early warning for major circumstances in infrastructure and social security, timely seize group cognition and psychological changes so that proactive measures are taken to improve social management capacity, which plays an irreplaceable role in stabilising the society.

As reported by OpenGov Asia, China has announced its ambition to become the world leader in Artificial Intelligence (AI) by 2030. China appears to be making rapid progress, and central and local government spending on AI in China is estimated to be in the tens of billions of dollars.

Recently, Artificial intelligence (AI) technology has been extensively applied in a national park in northwest China to track snow leopards inhabiting the region. The AI-aided digital toolbox can automatically distinguish the species in the Qilian Mountains National Park, Gansu Province, from other wildlife, using images captured by infrared cameras. The technology can thus improve data processing efficiency.


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