In 2018, China entered a critical phase in its journey toward becoming a global leader in artificial intelligence (AI). The country has set ambitious goals to build a strong AI nation, and the progress made in recent years has caught the attention of many. With rapid advancements, AI is no longer just a topic of academic interest but a major driver of economic transformation and industrial innovation.
According to reports from the BBC, the Chinese government has positioned AI as a key force for upgrading industries and boosting economic growth. Since 2012, the number of AI companies in China has surged to over 1,354, with investments jumping from 600 million yuan in 2012 to more than 62.2 billion yuan in 2017. This explosive growth earned 2017 the title of "AI Year," while 2018 marked a turning point as AI began transitioning from research labs into real-world applications.
The British journal *Nature* highlighted how Chinese AI companies are making significant strides. David Weaver, a researcher at Microsoft Research in Beijing, emphasized that the future of AI will be shaped by competition in data and talent. To maintain its momentum, China must invest heavily in developing top-tier AI professionals who can drive innovation and maintain a competitive edge on the global stage.
MIT’s *Technology Review* also noted that China's push for AI mastery is unprecedented. It is likely to become a leading force in AI development, enhancing productivity across industries and emerging as a global innovator. In 2017, the AI landscape saw a milestone in funding and algorithm development, with “AI+†becoming a widely accepted industry trend.
AI technologies are now being integrated into sectors like finance, security, and healthcare, where data availability is high. These innovations are fueling smart cities and intelligent transportation systems. Meanwhile, consumer-facing AI applications—such as facial payment, AI translation, unmanned stores, and voice assistants—are gaining popularity, making AI more accessible and practical for everyday users.
Despite the rapid growth, challenges remain. As investment increases, so do the costs and complexity of AI projects. It’s important to have realistic expectations about AI capabilities, as it is currently limited to specific domains. Expanding its reach to more areas remains a key challenge for researchers.
A report by Tencent Research Institute revealed that the AI industry is increasingly competitive between China and the U.S. While both countries are investing heavily, their focuses differ: China emphasizes application layers such as computer vision, natural language processing, and autonomous driving, whereas the U.S. prioritizes foundational areas like chip development and machine learning.
China is also making great strides in AI research, with a growing number of published papers. However, it still lags behind the U.S. in terms of the scale of AI enterprises and the depth of talent. Core areas like chips, algorithms, and theoretical research remain weak points, with fewer companies operating at the cutting edge compared to the U.S.
Nevertheless, China holds significant advantages in data generation, internet infrastructure, and IoT expansion. With 772 million internet users, the volume and variety of data continue to grow rapidly, providing a strong foundation for AI development. These resources are often referred to as the “oil†of the 21st century, essential for training and improving AI models.
Government support has been crucial to China’s AI strategy. Policies like the “Internet + AI†Three-Year Action Plan and the “New Generation Artificial Intelligence Development Plan†have laid out clear directions, focusing on core technologies, talent development, and regulatory frameworks. These initiatives aim to position China as a global AI leader by 2030.
Beyond technology, China is also working on legal, ethical, and policy frameworks to ensure responsible AI development. As AI continues to evolve, international regulations on data protection, accountability, and algorithmic transparency will become increasingly important. By proactively addressing these issues, China aims to shape the future of AI governance and gain a stronger voice in global discussions.
LCD Display Module
High resolution
In order to realize a large-area high-resolution Liquid Crystal Display, it is usually necessary to use low-impedance metal materials, high-performance switching elements, and high-precision processing techniques. Aluminum is the most researched and used material for making TFT buses with low-impedance metals. By solving the problems of easy formation of hillocks, chemical corrosion and oxidation of aluminum, alloy methods (such as Al-Cu, Al-Si, Al-Nd and Al-Ti, etc.) and interlayer methods (such as Mo/Al/Mo) have been reported successively. , Cr/Al/Cr and Ti/Al/Ti, etc.), the alloy method is relatively simple in process, but the material has a higher resistivity. In May 1998, IBM developed a 16.3-inch ultra-high resolution (200ppi) a-Si TFT Display using Al-Nd alloy as the gate electrode, and mass production has been achieved. In April 1999, Toshiba introduced the 20.8-inch 16-SVGA (3, 200 × 2, 400) a-Si TFT-LCD, which can be said to represent the highest level of a-Si TFT-LCD in terms of high resolution and high capacity. .
According to Display Search in the third quarter of 2011, the global flat panel display research report "QuarterlyWorldw ide Flat Pane l Dis play Fore cas t Re port" pointed out that the average pixels per inch (ppi) in large-size LCD panels (>9.1 inches) ) Will grow from 88ppi in 2010 to 98ppi in 2015. The ppi of small and medium-sized LCD panels (<9.0 inches) will grow from 180ppi to 300ppi in the same period. With the rise of smart phones, mobile phones will be the most obvious application product for ppi's growth.
Another important way to realize high-resolution liquid crystal display is to develop LT p-Si TFT technology. The resolution of published p-SiTFT-LCD products is generally around 200ppi. Compared with a-Si TFT-LCD, LT p-Si TFT-LCD has a smaller volume of thin film transistors and storage capacitors. Therefore, it has a larger penetration area per inch, resulting in a brighter display. , And save more power. When the market demands higher ppi, low-temperature polysilicon (LTPS) technology becomes the best choice for manufacturing high-resolution thin-film transistor liquid crystal displays.
Contrast
The control ICs, filters and oriented films used in LCD manufacturing are related to the contrast of the panel. For general users, a contrast ratio of 350:1 is sufficient, but such contrast in the professional field does not satisfy users. Demand. Compared with CRT monitors easily reaching 500:1 or even higher contrast, only high-end LCD monitors can achieve this level. The first-tier LCD monitors on the market, such as Samsung, Asus, LG, etc., can reach a contrast ratio of 1000:1. However, because the contrast is difficult to accurately measure with instruments, you have to go and see it yourself when you pick it.
Tip: Contrast is very important. It can be said that the selection of LCD is a more important indicator than bright spots. When you understand that your customers buy LCDs for entertainment and watching DVDs, you can emphasize that contrast is more important than no dead pixels. We When watching streaming media, the brightness of the source is generally not large, but to see the contrast of light and dark in the scene of the character, the texture change from gray to black hair must be shown by the level of contrast. The 256-level grayscale in the test software In the test, more small gray grids can be seen clearly when looking up, which means that the contrast is better!a
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