Establishment of the Basic Theory of Artificial Intelligence Research Center at Tsinghua University
On May 6, 2019, the Institute of Artificial Intelligence Research Center at Tsinghua University held a ceremony to establish its theoretical foundation. The event marked a significant milestone in the development of artificial intelligence research, with a focus on creating a robust and interpretable AI framework.
A New Era in AI Research
The basic theoretical research center aims to address the limitations of the current AI landscape, which is dominated by data-driven machine learning models. The center’s research directions include:
- Theoretical basis of artificial intelligence: Developing a fundamental understanding of AI, including Bayesian machine learning, depth study, small sample learning, and reinforcement learning.
- Robust artificial intelligence: Creating AI algorithms that are robust, understandable, and efficient, with a focus on safety and security.
- Brain science-inspired AI: Developing AI models that are inspired by the mechanisms of the human brain, including auditory perception, language understanding, and memory.
- Statistical cross-AI theory: Integrating statistical techniques with AI research to create more robust and interpretable models.
- Big Data modeling and computation: Developing AI algorithms that can handle large datasets and provide insights into complex systems.
- Causal analysis and reasoning: Creating AI models that can reason about cause-and-effect relationships and make informed decisions.
- Biomedical big data analytics: Developing AI algorithms that can analyze large biomedical datasets and provide insights into complex biological systems.
A New Generation of AI Researchers
The center’s research team is led by Professor Zhu, who was appointed as the director of the basic research center. The team includes researchers from various disciplines, including computer science, brain science, cognitive science, and statistics. The center has also hired Professor Hao Yue from the Chinese Academy of Sciences and Professor Manuela Veloso from Carnegie Mellon University as academic advisors.
Tsinghua University’s Commitment to AI Research
In his speech, Academician YOU Zheng emphasized the importance of basic research in AI and the need for a multidisciplinary approach to tackle the challenges of AI development. He highlighted the need for international collaboration and the importance of attracting top talent from around the world to contribute to the center’s research.
A New Era in AI Programming
The ceremony also marked the release of a new AI programming framework, Tsinghua Abacus 2.0, and a confrontation learning platform to support the development of third-generation AI algorithms. The platform is designed to facilitate the development of robust and interpretable AI models.
The Future of AI Research
The basic theoretical research center is expected to play a leading role in the development of AI research, with a focus on creating a robust and interpretable AI framework. The center’s research directions are expected to have a significant impact on various fields, including computer science, brain science, and biomedical research.
Attendees and Discussion
The ceremony was attended by over 100 representatives from universities, research institutes, and industry, who engaged in lively discussions on the latest research progress. AI Technology Review will follow up with a summary of the report presented at the meeting.
A New Era in AI Research
The establishment of the basic theory of artificial intelligence research center at Tsinghua University marks a significant milestone in the development of AI research. The center’s research directions are expected to have a significant impact on various fields, and its commitment to creating a robust and interpretable AI framework is expected to drive innovation in AI development.