1, Artificial Intelligence (AI): involves advanced algorithms, big data processing and deep learning and other technologies, and requires specialized knowledge and research capabilities.
2, Augmented Reality (AR) and Virtual Reality (VR): requires professionals with in-depth knowledge of image processing, computer graphics and human-computer interaction.
3, biotechnology and genetic engineering: involves complex biology and genetics knowledge, with high requirements for laboratory equipment and experimental operations.
4. Blockchain technology: requires in-depth expertise in areas such as cryptography, distributed systems and network security.
5, unmanned technology: requires specialized background and experience in areas such as machine learning, perceptual systems and automatic control.
6, Renewable energy: requires in-depth knowledge of technologies and policies in the energy field, as well as a deep understanding of the environment and sustainable development.
7. Human Health and Elderly Care: involves the fields of medical technology, healthcare and elderly care, and requires specialized medical knowledge and nursing skills.
8, Data Science and Analytics: requires a deep understanding of areas such as statistics, machine learning and data visualization, and the ability to interpret and analyze big data.
9. Environmental protection and sustainability: requires an in-depth understanding of environmental science, environmental policy, and the principles of sustainable development.
10, Space Science and Exploration: involves areas such as space technology, satellite communications and planetary science, and requires a high degree of scientific literacy and specialized skills.