Artificial Intelligence in China
China offers 10 Artificial Intelligence programmes across 4 universities, reflecting the country's major strategic investment in AI research and education. Institutions include the University of the Chinese Academy of Sciences, Wuhan University, Xi'an Jiaotong University, and Shenzhen University — all of which are involved in cutting-edge AI research aligned with China's national technology priorities.
Programmes cover machine learning, computer vision, natural language processing, and robotics at the postgraduate level, with some undergraduate AI tracks also available. Tuition fees vary by institution — check individual listings for current rates. International applicants interested in English-taught programmes should confirm language of instruction with each institution, as many AI graduate programmes in China are available in English through government scholarship schemes such as the Chinese Government Scholarship (CSC).
Controllable Video Generation: A Survey
This survey provides a comprehensive overview of controllable video generation, a rapidly developing subfield of AI-generated content (AIGC). As AI models become more sophisticated, there's a growing need for methods that allow users to precisely control video output to match their intent. Current text-to-video models often fall short because text prompts alone are insufficient for complex or fine-grained requests. To address this, researchers are integrating non-textual conditions, such as camera motion or human pose, into existing video generation models to enable more accurate and flexible video synthesis. The survey systematically reviews the theoretical foundations and recent advancements in controllable video generation. It covers key concepts, common open-source video generation models, and delves into control mechanisms within diffusion models. Methods are categorized based on the types of control signals used, including single-condition, multi-condition, and universal controllable generation. The goal is to offer a clear understanding of the field's progress and future directions.
TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications
The Internet of Things (IoT) is rapidly expanding, with billions of devices collecting data about their environments. While these devices are becoming more intelligent through Machine Learning (ML), their limited resources pose a challenge for complex Deep Learning (DL) models. Sending all data to the cloud for processing can lead to delays, privacy concerns, and increased communication costs. Tiny Machine Learning (TinyML) offers a solution by enabling the local processing of data and the inference of ML models directly on resource-constrained devices like microcontrollers. This paper reviews the current state of TinyML, analyzing the types of ML models used, datasets, and device characteristics to identify development needs and future directions.
Frequently asked questions
How many Artificial Intelligence programmes are available in China?
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There are 10 Artificial Intelligence programmes offered across 4 universities in China.
Which universities in China offer Artificial Intelligence programmes?
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Programmes are available at the University of the Chinese Academy of Sciences, Wuhan University, Xi'an Jiaotong University, and Shenzhen University.
How much does it cost to study Artificial Intelligence in China?
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Tuition varies by programme — check each listing for current fees; Chinese Government Scholarships (CSC) can cover tuition and living costs for eligible international students.
Can international students apply to Artificial Intelligence programmes in China?
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Yes, all four universities accept international students; many AI programmes are available in English at the graduate level, and scholarship opportunities exist through the CSC programme.
What are typical entry requirements for Artificial Intelligence programmes in China?
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Graduate AI programmes generally require a bachelor's degree in computer science, mathematics, or a related field; Chinese language proficiency may be required for Chinese-taught programmes, while English-taught programmes require proof of English proficiency.