Shanghai, March 1, 2026 – In a landmark development for artificial intelligence research, the Shanghai Academy of AI for Science and Fudan University have jointly launched a significantly upgraded version of their NovaInspire platform, featuring the groundbreaking scientific AI agent ‘Dasheng’. Named after the legendary Monkey King from Chinese mythology, this system represents a quantum leap in AI capabilities for scientific discovery.
The Dasheng AI agent integrates multiple cutting-edge technologies including multimodal foundation models, long-term collective memory systems, and expert-level scientific capabilities within a secure, trustworthy framework. What distinguishes Dasheng from conventional AI systems is its capacity for multi-threaded processing and continuous autonomous evolution, enabling it to tackle complex, real-world scientific problems that have previously challenged researchers.
This system-level scientific partner incorporates self-driving laboratory capabilities, allowing for unprecedented automation in experimental processes and data analysis. The integration of these advanced features positions Dasheng as a transformative force in research methodology, potentially accelerating breakthroughs across multiple scientific disciplines from materials science to pharmaceutical development.
The development team emphasizes that Dasheng represents more than just incremental improvement – it constitutes a fundamental paradigm shift in how scientific research can be conducted. By combining artificial intelligence with laboratory automation, the system creates a continuous cycle of hypothesis generation, experimentation, and analysis that operates with minimal human intervention.
This announcement comes at a time when global competition in artificial intelligence research has intensified, with multiple nations and corporations investing heavily in next-generation AI systems. The successful development of Dasheng demonstrates China’s growing capabilities in advanced AI research and its application to scientific challenges.
