Recently, the "PKU-AI4S Innovation Challenge Series Phase I: Shenzhen Graduate School Challenge," jointly initiated by Peking University School of AI for Science and OxTium Technology, successfully held its review and award ceremony at Peking University Shenzhen Graduate School.
Professor Tian Yonghong, Vice Dean of Peking University Shenzhen Graduate School and Executive Dean of the School of AI for Science, Assistant Professor Zhou Daquan, Assistant Professor Lin Dewu, and Dr. Ou Fanghong, Biology Director of OxTium Technology, gathered together to witness this scientific exchange focused on the frontiers of AI for Science (AI4S) and interdisciplinary thinking.
Four AI4S Themes: Tackling Scientific Intelligence Research
Since registration opened on November 7, it attracted numerous PKU students to tackle challenges in biology, chemistry, materials, and comprehensive fields.
Biology Direction: Protein structure and function prediction, intelligent analysis of genomics data, etc.
Chemistry Direction: Retrosynthetic route planning for chemical reactions, generation and design of novel molecular structures, etc.
Materials Direction: Intelligent design of high-performance materials, prediction of material properties (e.g., stability, conductivity), optimization of synthesis pathways, etc.
Comprehensive Direction: Exploration of brain-inspired spiking large models, solving complex equations with physics-informed neural networks, etc.
This challenge required participating teams to propose their own topics. Each team demonstrated how they used AI technology to solve complex equations and optimize synthesis pathways through public presentations. The judges rigorously evaluated entries based on algorithmic logic, scientific value, and industrialization potential.
"Although the course and competition have ended, the students' journey in AI for Science has just begun." After listening to all team reports and scoring, Professor Tian Yonghong encouraged students to continue combining artificial intelligence with various scientific fields to produce more solid scientific intelligence research.
In the end, 11 teams stood out and received first, second, and third prizes along with awards.
Industry-Academia Integration: Deepening Talent Development "Experimental Field"
AI4S is becoming a new high ground for global technological competition and a core driving force for paradigm shifts in life sciences. As a project-based assessment extension of the "Introduction to Intelligent Science" course at Peking University Shenzhen Graduate School, this competition was not only a skills contest but also a deep integration of industry and academia in teaching practice.
As PKU's partner, OxTium Technology aims to stimulate young students' potential to use artificial intelligence to solve real scientific problems through a "competition-driven learning and innovation" approach. We will continue to support the cultivation of high-level talents with interdisciplinary thinking and practical capabilities, building a strong reserve force for the AI4S ecosystem.
Dr. Ou Fanghong, Biology Director of OxTium Technology, participated in the entire review process and introduced OxTium Technology's current work in AI for Science.
According to her, the PKU-AI4S Innovation Challenge Series will hold subsequent competitions open to all PKU students, offering more significant prizes and awards.
The successful conclusion of Phase I of the "PKU-AI4S Innovation Challenge Series" marks a solid step forward for OxTium Technology in deep industry-academia-research integration.
OxTium Technology will continue to focus on and support scientific innovation and talent development in the AI4S field, persistently supporting interdisciplinary talent cultivation in universities. The innovative solutions sprouting on today's competition field may become national tools for solving scientific problems across various disciplines.
