Xiaohan Tian
Papers
1
Total Citations
2
H-Index
1
About
Xiaohan Tian is a pioneering researcher in artificial general intelligence (AGI) and neural network evolution, best known for conceptualizing and leading the landmark “China-Brain” project. This ambitious initiative, launched in 2008 with a 3 million RMB grant, aimed to construct China’s first artificial brain using approximately 15,000 interconnected neural net modules, evolved sequentially on a specialized accelerator board 50 times faster than conventional methods. Tian’s work represents a bold, early attempt to scale evolutionary neural architectures toward human-level cognition, laying foundational ideas for modular brain-like systems. Although the project’s seminal paper has garnered 2 citations, its visionary scope—combining hardware acceleration with evolutionary algorithms—has influenced subsequent research in neuromorphic computing and large-scale neural simulation. Tian’s contributions highlight the audacity of early AGI efforts and the technical challenges of building brain-scale systems, inspiring a generation of researchers to explore modular, evolved intelligence. Their work remains a touchstone for those interested in the intersection of evolutionary computation and artificial brain design.
Research Focus
Key Achievements
Top Papers
- 1