Today, the Tsinghua-China Academy of Engineering’s Joint Research Center for Knowledge Intelligence and the Institute of Artificial Intelligence of Tsinghua University launched the AI 2000 AI Global List of 2,000 Most Influential Figure Awards.
Zhang Wei, Member of the Chinese Academy of Sciences
It is understood that AI 2000 covers 20 sub-areas of aia disciplines (classic AI (AAAI / IJCAI), machine learning, computer vision, natural language processing, robotics, knowledge engineering, speech recognition, data mining, information retrieval and recommendation, database, human-computer interaction, computer graphics, multimedia, visualization, security and privacy, computer networks, operating systems, computing theory, chip technology, Internet of Things).
The specific selection method selects 10 winners per year for each sub-field, with a total of 2,000 in the next 10 years, and each year, the top 10 scholars are selected as the most influential scholars in the field, referring to citations for papers published in the most influential conferences and journals in the field over the past 10 years. Other scholars in the top 100 were nominated by AI 2000’s Most Influential Scholars.
According to Tang Jie, a professor of computer science at Tsinghua University and founder of AMiner, a total of 1,128 in the United States and 171 in China, the world’s most influential scholars (200) and nominated scholars (1,800) are on the 2020 list. , the EU has 307 people on the list.
Among them, it is worth noting that Professor Yang Qiang of the Hong Kong University of Science and Technology is a TOP1 scholar in the field of classic AI (AAAI/IJCAI) and the young He Yuming is in the field of computer vision TOP1, where he currently works for Facebook.
In addition, the list also analyzes the competitiveness status of various regions, from a regional point of view, AI 2000 scholars are mainly concentrated in north America’s United States region, Europe’s central and western regions also have a certain distribution of scholars, Asia’s talent is mainly distributed in China and Japan and South Korea, other areas such as South America, Africa and other regions are very rare scholars. The number of scholars in TOP10 countries is as follows:
From a national perspective, the United States has the highest proportion of scholars, with 1,128, or 61.4%, more than half of the total, leading the first tier alone. China is second only to the United States, with 171, or 9.3 percent. Germany came in third place, the largest number of highly influential scholars in European countries;
In addition, the statistics of high-impact scholars in this report are also based on the gender of all listed scholars. Men make up the majority in all fields, with 1,663, and women are rare, with 175. Among them, the proportion of male scholars in the field of machine learning was the highest, at 98%, and the proportion of female scholars in the field of human-computer interaction was the highest, but it also accounted for only 24% in the field.
The report also concludes that, in contrast, although China ranks second in the scale of scholars, but there is still a big gap with the United States, accordingly, China’s high-level scholars concentrated research institutions are also very scarce, China’s artificial intelligence in the field of talent team needs to be strengthened.
In terms of the characteristics of scholars, AI 2000 covers the overall level of research of scholars, the number of scholars in cross-cutting areas, conducive to the coordinated development of various fields, but there are also problems such as the imbalance of the ratio of men and women.
In terms of trend development, we can understand the history and current situation of advanced technology by analyzing technological trends, such as gaining insight into the development of neural networks, by analyzing national trends, and by analyzing national cooperation, the United States is now the most developed country, This has also led to cooperation between other countries and the United States.
It is believed that in the near future there will be more key technologies of artificial intelligence to achieve breakthroughs, the development of artificial intelligence in China will be more dazzling, training more talents into the field of artificial intelligence development and construction.
Details and updates on the list can be followed by Tsinghua AMiner’s website: