IntroductionChina is taking a significant step to strengthen its technology workforce through a newly announced AI Talent Visa Policy. Designed to attract international and domestic experts in artificial intelligence, the policy aims to accelerate innovation in Chinese tech companies and research institutions. As
IntroductionChina’s semiconductor industry achieved a significant milestone in the third quarter of 2025, as exports of AI chips surged amid increasing global demand for high-performance computing solutions. According to the Ministry of Industry and Information Technology (MIIT), Chinese manufacturers exported $7.3 billion worth
China has accelerated its development of generative AI technologies, targeting applications in natural language processing, image synthesis, and automated content generation. Companies such as Baidu, SenseTime, and iFlyTek are leading research initiatives to improve model accuracy, efficiency, and scalability. The goal is to
China has solidified its position as a global leader in artificial intelligence (AI) through massive government and private-sector investments. National initiatives, such as the New Generation AI Development Plan, are funneling billions into research, development, and commercialization of AI technologies. Cities like Beijing,
IntroductionBaidu has announced a major upgrade to its flagship artificial intelligence platform, Ernie Bot, introducing a new reasoning model and a range of features designed to strengthen its competitiveness in China’s rapidly evolving AI market. The move positions Baidu as a leading domestic
Chinese AI firms pivot from large language models to practical deployments in healthcare, finance, and logistics. Introduction Artificial Intelligence (AI) has been at the heart of China’s digital transformation strategy for the past decade. In the early 2020s, the focus was largely on
Startups embrace synthetic datasets to overcome restrictions on real-world data. By Dr. Alan Hughes | Telecoms & Space Policy Analyst China’s AI sector is facing a data dilemma: stricter regulations on privacy and content limit access to large, real-world datasets. In response, startups
