AI CHINA : 42 cities are shortlisted in the top 500 global AI innovation cities

AI CHINA: 42 cities are shortlisted in the top 500 global AI innovation cities

Recently, the big data platform AMiner and Wisdom Spectrum Research released an analysis report on the top 500 global artificial intelligence innovative cities based on the ranking of the world's most innovative cities in artificial intelligence in 2023.

This ranking shows that among the top 500 global artificial intelligence innovation cities, 42 cities in China are shortlisted, ranking second in the world in terms of number.

Among the top 100, there are 19 Chinese cities, namely: Beijing, Shanghai, Hong Kong, Hangzhou, Shenzhen, Nanjing, Xi'an, Guangzhou, Taipei, Wuhan, Hefei, Shenyang, Chengdu, Tianjin, Harbin, Changsha, Hsinchu, Dalian and Jinan.

As China's first-tier cities, Beijing and Shanghai's artificial intelligence innovation index rank among the top ten in the world, and Beijing's artificial intelligence innovation index ranks second in the world.

This means that China's artificial intelligence industry has entered the world's first gradient, the industrial scale continues to expand, and the industrial ecology has initially formed.

In terms of quantity and scale, China is already a big country in artificial intelligence.


But the coin also has another side.

As Mei Jianping, deputy director of the High-tech Department of the Ministry of Science and Technology, said at the 2023 Zhongguancun Forum Artificial Intelligence Open Ecosystem Construction Forum, China still lags behind the world's leading level in fields such as underlying algorithms, key software and hardware, and ecosystems.

Among the top 100 cities in the world for artificial intelligence innovation, 33 cities in the United States are shortlisted. The United States remains the global concentration of AI innovation cities.

In addition, as the two major powers in artificial intelligence research, the United States has twice as many relevant papers as China.

The United States focuses on research in machine learning, computer vision, robotics, and more. China is about computer vision, classic AI, and the Internet of Things; especially the Internet of Things, the number of papers is about twice that of the United States.

How to narrow this gap and whether we can achieve overtaking in the field of AI still requires the joint cooperation and joint efforts of the country and local governments, science and technology, and industry.

Comments

Post a Comment

Popular posts from this blog

China's Economic Crossroads: Is the Dragon Losing Its Vigor?

Image
China's Economic Crossroads: Is the Dragon Losing Its Vigor? Introduction: Many experts are sounding the alarm, suggesting that China's economic powerhouse may have passed its zenith and is now entering an era of uncertainty. As the world closely monitors China's potential for recovery, it's essential to delve into the reasons behind the challenges facing the Chinese economy. China's Economic Red in 2023: In July 2023, China faced a triple whammy of economic setbacks—a deflationary trend with a -0.3% inflation rate, a sharp plummet in export growth from a promising trajectory to -14%, and a significant 28% drop in real estate prices. These events have raised doubts among many about whether China's economic engine is truly sputtering. Underlying Causes of China's Economic Slowdown: Declining Population: China's population began shrinking in 2022, ceding its position as the world's most populous nation to India. With the fertility rate plummeting to 1....
Read more

Tesla Robo-taxi Revealed on October 10, 2024 / China Since 2020?

Image
Tesla Robo-taxi Revealed on October 10, 2024 / China Since 2020? On October 10, 2024, Elon Musk unveiled Tesla's robo-taxi, which has piqued interest in autonomous taxis, expected to soon become commercialized. However, such self-driving robo-taxis are already providing services in major Chinese cities like Guangzhou and Shanghai. So, the question arises: how did China manage to commercialize robo-taxi services so quickly? The answer lies in continuous investment in autonomous driving technology development during the COVID-19 pandemic when other countries, including the US, delayed their efforts. Robo-taxis provide a service where vehicles autonomously transport passengers to their destinations. Autonomous driving is divided into levels 1-5, with robo-taxis requiring level 4 or higher, necessitating massive driving data. During the pandemic, China consistently collected data used for robo-taxis, enabling them to quickly commercialize the service compared to other countries. Cu...
Read more