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Artificial intelligence index report 2021 From Stanford University

The following is the Artificial intelligence index report 2021 From Stanford University recommended by recordtrend.com. And this article belongs to the classification: artificial intelligence, research report.

Stanford University released the “artificial intelligence index report 2021”. The main points of the report are as follows:

1. Research and development

From 2019 to 2020, the number of AI journal publications has increased by 34.5%, much higher than the growth rate from 2018 to 2019 (19.6%).

In the United States, company funded research accounts for 19.2% of the total publications, while in China (15.6%) and the European Union (17.2%), the government is the second most important sponsor.

In 2020, the citation share of Chinese AI journals in the world will surpass that of the United States for the first time.

In 2019, AI publications accounted for 3.8% of all peer-reviewed scientific publications worldwide, up from 1.3% in 2011.

2. Technical performance

With the development of AI technology, it can now achieve the following performance:

Make everything.

The industrialization of computer vision.

Natural language processing (NLP) has exceeded its evaluation index.

Machine learning is changing healthcare and biology.

3. Economy

“Drugs, cancer, molecules, drug discovery” has won the largest private AI investment in 2020, more than US $13.8 billion, 4.5 times of that in 2019.

The private AI investment in 2020 will increase by 9.3% compared with that in 2019, which is higher than that in 2019 (5.7%).

From 2019 to 2020, the proportion of artificial intelligence jobs in the United States will decline, which is the first decline in six years, and the total number of artificial intelligence jobs will also decline by 8.2%.

4. Artificial intelligence education

In the past decade, the proportion of new AI doctors who choose to work in the industry has increased by 48%, from 44.4% in 2010 to 65.7% in 2019. In contrast, the proportion of AI Ph.D. entering the academic circle has dropped by 44%, from 42.1% in 2010 to 23.7% in 2019.

In the past 10 years, the total number of CS doctorates obtained by AI related doctors in the United States has increased from 14.2% to about 23% in 2019.

In 2019, the proportion of international students in new AI doctorates in North America will continue to rise, reaching 64.3%, an increase of 4.3% over 2018.

5. Ethical challenges of AI application

Since 2015, there has been an increase in the number of papers submitted to AI conferences with ethics related keywords in their titles.

6. Diversity of artificial intelligence

On average, less than 18% of all doctoral graduates are female graduates of AI doctoral programs in North America. In many universities around the world, female teachers account for only 16% of all lifelong teachers.

7. AI policy and national strategy

Since Canada released the world’s first national AI strategy in 2017, as of December 2020, more than 30 countries and regions have published similar documents.

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