The application of artificial intelligence in China is ahead of the United States

China and the United States have reached parity in the development of artificial intelligence, but China’s application of the technology in products and services is likely to advance in 2023.

As Kaifu Li, a keen observer of the development of artificial intelligence in China, said, “We are now in the era of application of artificial intelligence.” While the West, the United States and Canada in particular, will continue to be at the forefront in AI research, these Western developments are quickly being adopted in China where a massive market, glut of young engineers, government support and a strong entrepreneurial culture are driving industrial innovation in AI. .

“Digital and real economies are accelerating their integration,” said Haifeng Wang, CTO of Baidu, who is also head of Baidu Research.

China’s 14th Five-Year Plan and Vision 2030 both focus strongly on the development of the digital economy, seeing the sector as a huge untapped innovation force and room for growth.

“As AI pre-trained large-scale models become the cornerstone of new technology, the level of intelligence has greatly increased and shows more room for large-scale applications from industry to scientific research,” said Wang of Baidu.

Today, intelligent computing centers, deep learning platforms, and artificial intelligence models are already developing to form a new artificial intelligence infrastructure in China, providing a foundation for digital transformation in the real economy, especially in the manufacturing and autonomous vehicle industries.

In the next few years, the construction of this new AI infrastructure is destined to become one of the important pillars for the development of the digital economy and a focus for investment by local governments in China, which will greatly contribute to regional economic development. As AI infrastructure expands, we can expect to see China develop new products and new business models with potential for industrial application.

However, China still lacks the academic infrastructure that has driven technological development in the United States. While China has created some powerful AI institutes, such as the Beijing Academy of Artificial Intelligence (BAAI), the country’s higher education system — which perished in the 1960s — is Decades away from matching west. Teaching and research in China cannot compete with private sector salaries and universities cannot attract top-level academic talent from abroad.

However, thanks to the scaling of large deep learning models, cross-language, cross-tasking and multimedia have become a major direction for the development of artificial intelligence today in China. According to Chinese AI giant Baidu, “big industry models” are being applied in aviation, finance and energy. With an AI infrastructure built around the needs of each specific industry, China is developing an “industry + AI” structure. Baidu expects a broader ecosystem of large-scale industrial model to emerge, leading to intelligent AI-driven upgrading of thousands of industries.

“As AI pre-trained large-scale models become the cornerstone of new technology, the level of intelligence has greatly increased and shows more room for large-scale applications from industry to scientific research,” said Wang of Baidu.

Baidu, one of China’s AI giants along with Alibaba and Tencent, is running ERNIE-ViLG 2.0, a 24-billion-variable model trained on 145 million Chinese image-text pairs.

Another large-scale Chinese model is Taiyi, from the research lab, IDEA, led by Harry Shum, co-founder of Microsoft Research Asia, Microsoft’s largest research arm outside the US, Taiyi has been trained on 20 million filtered Chinese image-text pairs and has 1 billion parameters.

Meanwhile, BAAI launched the latest version of Wudao in 2022, which is a pre-trained deep learning model with a whopping 1.75 trillion parameters.

The maturity of these key technologies, together with big data and cloud computing, has added impetus to the development of automation, with AI-enabled robots of all kinds showing potential for significant improvements in real-time cognition, intelligent decision-making, and optimal control. The increasing maturity of AI-powered robotics technology means that it can increasingly be used in construction, mining, disaster relief, and other work scenarios that require large amounts of manpower.

With the entry of autonomous driving into urban areas, both the difficulty of perceiving complex environments and the difficulty of processing huge amounts of data are seeing significant improvements. Traditional small models can no longer meet the requirements of high-level self-driving, making artificial intelligence large models the latest focus of self-driving technology.

This AI large model technology enables self-driving cars to effectively expand semantic recognition data and greatly improve the efficiency of long-running problem solving. This rapid advancement in technology means that in 2023, the commercialization of autonomous driving in major cities in China will see a simultaneous growth in both operating range and fleet size, bringing the market penetration rate of intelligent vehicles with autonomous driving capabilities to new levels. The smart car industry will move from an experimental stage to full maturity.

In 2023, the commercialization of autonomous driving in major cities in China will see a synchronous growth in both operating range and fleet size.

According to Baidu, the growing commercialization of data highlights the urgent need for a reliable “horizontal and vertical” data trading network. These networks will continue to be developed in 2023.

Technology companies and scientists are also actively exploring “explainable” AI technologies, aiming to increase the effectiveness of human-machine communication in the context of value alignment, allowing AI to truly understand human intentions and achieve more predictable AI governance. In a more intelligent and digital society, having controllable and controllable AI technology capabilities will become a new competitive advantage for enterprises.

The newly emerging digital infrastructure and tools allowed for the creation of a content-rich virtual world, which evolved from parallel to the physical world to increasingly integrated with the physical world.

Virtualization and artificial intelligence technologies will allow the creation of more accurate and intelligent digital twins in shopping, manufacturing, entertainment and other fields.

AI-generated content will bring a new content creation paradigm for drawing, painting, and other media. Combined with the immersive experience services provided by VR/AR and the high-speed data transmission capacity provided by 5G, the availability of a large-scale and rich metaverse industry is expected to accelerate and host product and service models that provide a new wave of disruptive innovation.

In 2022, China issued “Opinions on Promoting the Ethical Governance of Science and Technology” and submitted a “Position Paper on Promoting the Ethical Governance of Artificial Intelligence” to the United Nations, advocating the principle of “human-centered intelligence for good” to ensure that AI remains safe and reliable And it can be controlled.

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