Artificial intelligence (AI), as a frontier technology leading the technological innovation, has been widely used in data analysis, model identification, and smart control. Data mining and machine learning are core technologies within AI. Data mining focuses on automatically discovering hidden patterns and knowledge from large and complex datasets, providing the foundational insights AI systems need to understand the real world. Machine learning enables AI systems to “learn” from data and autonomously improve, using algorithms to make predictions, classify information, and make decisions. The two work in synergy: data mining prepares high-quality data and extracts features, while machine learning uses this data to train models and enable intelligent functions. They jointly power the transition of AI from theory to real-world applications.

This project, led by research faculty in AI from the University of 985 project, introduces the fundamentals and advances in AI, including machine learning, data mining, and LLMs. Participants will systematically explore the development of AI and gain hands-on experience with machine learning tools, data mining techniques, and applications of ChatGPT, foster a fundamental understanding of AI, and ignite their interest in technological innovation.



Teaching Faculty

Experts in the field of mathematics and AI from the University of 985 project are specially invited.



Cutting-edge Topics

Systematically learn the fundamental knowledge of machine learning, data mining, and LLMs.



Real Lab Practice

Conduct experiments such as data mining and the application of LLMs, e.g., ChatGPT.



Outcome Application

Research outcomes for exploring data training models to develop intelligent functions.

Main Experiments

Image Recognition and Object Detection

Data Mining

Building Large Models

Image Recognition and Object Detection

Data Mining

Building Large Models

日程表

*日程供参考，可能会根据具体情况调整顺序或微调内容

Certificates

ASDAN SCIENCE 证书

UCAS 官方推荐的 ASDAN SCIENCE SHORT COURSES CREDIT

XLAB中国官方结业证书

*证书sample仅为参考，具体证书内容可能会根据当期课程内容微调，以实际发放为准

科研院所证书示例

*证书sample仅为参考，具体证书内容可能会根据当期课程内容微调，以实际发放为准

ASDAN Research证书

（可选，需完成后续学术产出）

项目感言

精彩瞬间

Why Us

History

XLAB has a 20+ year history. It was initiated by Professor Neher of the University of Göttingen in Germany and strongly supported by the German government and the University of Göttingen. XLAB, centered around high-end scientific experiments, is widely favored by over 10,000 students yearly. XLAB has established practice centers worldwide, aiming to expand this unique concept and teaching method to reach more students.

XLAB aims to enable more people to learn and experience the joy of science, encouraging them to explore the mysteries of science and consider how to use science to solve human problems. Therefore, XALB's subjects are generally more complex in physics, biology, or medicine. Instead, they focus more on interdisciplinary, cutting-edge topics such as genetic engineering, medical research, nanobiology, medical chemistry, high-energy physics, and more.

Subject

Experiment

Experiments are the core of the XLAB. Each participant can enter advanced laboratories to conduct safe experiments, analyze data, and write experiment reports. Over six hours of scientific research daily enhances students' scientific knowledge and logical thinking and cultivates concentration and endurance. Students will be able to experience the work content and status firsthand and consider whether to choose a research direction in future education.

The courses in XLAB are unique. They consist of four key modules: Subject Introduction and Program Thinking, Scientific Research Teaching, Laboratory Operations, Experimental Data Analysis, and Research Report Writing. All courses are taught in small groups of 10 to 25 students.

Course

Faculty

Experts are invited to design experiments and teach students since the topics and content of XLAB exceed the curriculum of high schools and are specialized in specific research areas. Relevant scientific research institutions support XLAB China and provide an in-depth academic experience for Chinese students based on its unique teaching methods and experimental requirements.

Two authoritative certificates are available: the XLAB Program Certificate of Participation, which details the experimental content and is signed by instructors. Students will complete an academic report containing experimental results and data analysis to apply for the ASDAN "Science Award" Certificate for 30 credit hours of study officially accredited by UCAS.

Certificate

Research

XALB provides invaluable research scenarios for students who plan or are currently engaged in natural science research-oriented learning, such as EPQ or scientific papers, to implement their research plans and participate in hands-on scientific research. Experimental reports can be considered as part of their research achievements.