Towards a new generation of artificial intelligence in China

Wu, Fei; Lu, Cewu; Zhu, Miao; Chen, Hao; Zhu, Jun; Yu, Kai; Li, Lei; Li, Ming; Chen, Qianfeng; Xi, Li; Cao, Xudong; Wang, Zhongyuan; Zha, Zheng-Jun; Zhuang, Yueting; Pan, Yunhe

doi:10.1038/s42256-020-0183-4

Cited by 152 publications

(49 citation statements)

References 20 publications

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“…Delivery drones are a well-known artificial intelligence (AI) technology in China’s food and beverage industry [ 95 ]. These are meant to make meal delivery simpler in a world where an estimated 355 million people use food delivery apps.…”

Section: Discussionmentioning

confidence: 99%

Investigation of COVID-19 Impact on the Food and Beverages Industry: China and India Perspective

Memon

Pawase²,

Pavase

et al. 2021

Foods

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The sudden breakout of coronavirus disease (COVID-19) rapidly spread across the globe, leaving no country behind in being affected by the global pandemic in the year 2019–20. As COVID-19 commenced, within months two major Asian giants initiated the norms of social distancing and lockdowns in their societies. The indiscriminate nature of the current pandemic has not only impacted the health and quality of life of people but has also disrupted the global economy, supply chains, and countries all over the world. In food and beverage manufacturing industries, the unanticipated disruption has encumbered its lock on the global food supply chain and service sector as major cities shut down for several months in China and India. Human existence is dependent upon food, which renders energy for activity, growth, and all functions of the body. Although both China and India have shown eminent response to tackle the ongoing pandemic, the food supply chain remains vastly exposed to significant COVID-19 risks. This research primarily investigates the ongoing COVID-19 scenario in two major economies (China and India), delivering insight into the pandemic’s impact within the food and beverage manufacturing sectors, and explores the policies adopted and strategies undertaken for sustainability in food supply chains.

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Section: Discussionmentioning

confidence: 99%

Investigation of COVID-19 Impact on the Food and Beverages Industry: China and India Perspective

Memon

Pawase²,

Pavase

et al. 2021

Foods

View full text Add to dashboard Cite

show abstract

“…The industrial involvement with significant investment and powerful computational resource, which has attracted AI talents and teams worldwide, has greatly contributed to the international collaboration in the field of AI. For example, companies like Google, Baidu and Facebook have become the leaders of the modern research of AI (Frank, et al, 2019a , 2019b ; Wu et al, 2020 ). Our finding indicates that countries with similar industry-involvement in AI research tend to have lower number of collaborative AI papers.…”

Section: Discussionmentioning

confidence: 99%

Internationalizing AI: evolution and impact of distance factors

Tang

2022

Scientometrics

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International collaboration has become imperative in the field of AI. However, few studies exist concerning how distance factors have affected the international collaboration in AI research. In this study, we investigate this problem by using 1,294,644 AI related collaborative papers harvested from the Microsoft Academic Graph dataset. A framework including 13 indicators to quantify the distance factors between countries from 5 perspectives (i.e., geographic distance, economic distance, cultural distance, academic distance, and industrial distance) is proposed. The relationships were conducted by the methods of descriptive analysis and regression analysis. The results show that international collaboration in the field of AI today is not prevalent (only 15.7%). All the separations in international collaborations have increased over years, except for the cultural distance in masculinity/felinity dimension and the industrial distance. The geographic distance, economic distance and academic distances have shown significantly negative relationships with the degree of international collaborations in the field of AI. The industrial distance has a significant positive relationship with the degree of international collaboration in the field of AI. Also, the results demonstrate that the participation of the United States and China have promoted the international collaboration in the field of AI. This study provides a comprehensive understanding of internationalizing AI research in geographic, economic, cultural, academic, and industrial aspects. Supplementary Information The online version contains supplementary material available at 10.1007/s11192-021-04207-3.

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“…(Table 2.) Currently, Chinese pending applications account for nearly 73% of total pending AI patent applications worldwide, reflecting China's considerable efforts to develop AI in recent years [47,48]. However, China has a less significant presence in the granted and transnational patent landscape (21.3% and 10.1% respectively).…”

Section: Country-level Landscapementioning

confidence: 99%

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

et al. 2021

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Artificial intelligence (AI) is emerging as a technology at the center of many political, economic, and societal debates. This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. Results indicate a growing yet concentrated, non-collaborative and multi-path development and protection profile for AI patenting, with cross-organization knowledge flows based mainly on interorganizational knowledge citation links.

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Towards a new generation of artificial intelligence in China

Cited by 152 publications

References 20 publications

Investigation of COVID-19 Impact on the Food and Beverages Industry: China and India Perspective

Investigation of COVID-19 Impact on the Food and Beverages Industry: China and India Perspective

Internationalizing AI: evolution and impact of distance factors

Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis

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