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Turing Lecture Series: Artificial Intelligence 2.0 and the Digital Economy by CAE Fellow Yunhe Pan


The Turing Lecture Series is a collection of high-level lectures organized by Zhejiang University for top-notch talent training classes in fundamental computer science. It thoroughly implements the Ideas on Implementing Top-Talent Training Plan 2.0 for Basic Sciences from the Ministry of Education”, which is intended to inspire student’s academic interests.

In the morning of December 7th, Pan Yunhe, academician of the Chinese Academy of Engineering joined the Turing Lecture Series of Zhejiang University. Pan Yunhe delivered an insightful lecture titled Artificial Intelligence 2.0 and the Digital Economy to students from the Turing Class, mixed class and Pursuit Science Class of ZJU Chu Kochen Honors College.


Academician Pan introduced that the digital economy is an increasingly important driving force for global economic growth. It is playing a substantial role in accelerating economic development, increasing labor productivity of existing industries, cultivating new markets and new growth points, and achieving inclusive and sustainable growth. He also analyzed the shortcomings and strengths of the development situation of China's digital economy. Furthermore, Academician Pan explained the current development level of artificial intelligence in China along with the global development trend.

In addition, Academician Pan reviewed the development of artificial intelligence, described the opportunities and challenges it faces, and called attention to the strategic role of the artificial intelligence industry in the overall development of the country. Afterwards, He introduced the background and significance of the concept of Artificial Intelligence 2.0 and the challenges of the new generation of artificial intelligence applications. He believes that artificial intelligence is an important measure for the development of the digital economy, and artificial intelligence 2.0 technology will open a new world for the development of the digital economy. He pinpointed five signs: the combination of deep learning on big data and fictitious self-play, the emergence of Swarm intelligence, the rapid development of human-machine integration, the rise of cross-media intelligence, and the emergence of autonomous intelligent devices.

Academician Pan encouraged everyone to actively think about several questions raised in the lecture: 1) how to create intelligent products, 2) how to successfully create new intelligent application systems, and 3) how to increase intelligence in social governance. He used Amazon and Dadu River Hydropower as examples to highlight the immense potential of integrating artificial intelligence with existing industries, and eagerly encouraged that students could extend artificial intelligence technology onto more products and create new industry chains.  

The College of Computer Science and Technology educates future leaders in computer science with interdisciplinary innovation capabilities to address global challenges in the AI2.0 world.