Shanghai Launches Scientific Intelligence Fund and Data Initiatives
Shanghai officials launched a new Scientific Intelligence Special Fund and released the Aisaisi OpenAI4S Community during the Global Developers Pioneer Conference (GDPS) held March 27-29 in the city's Xuhui district. The initiatives aim to accelerate development of Shanghai's scientific intelligence ecosystem by providing capital support and infrastructure for researchers and developers.
Chen Jie, Deputy Mayor of Shanghai, said the city controls 10% of China's intelligent computing capacity, operates the country's first public corpus service platform, and hosts registrations for more than 150 large-scale AI models. Shanghai has gathered nearly 300,000 artificial intelligence professionals.
Fund Structure and Corpus Data Plan
The Scientific Intelligence Special Fund, initiated by Shanghai State Investment Company, provides full-cycle capital support for original innovations in scientific intelligence. The fund aims to establish connections between technology development, industry applications, and financial investment.
The Molded Shanghai Corpus Inclusiveness Plan 2.0 will focus on supplying high-quality corpus data for scientific intelligence work. By the end of 2027, the plan targets serving 500 innovation entities, creating 300 rare datasets, and providing corpus value exceeding 150 million yuan, with a total corpus scale surpassing 10 petabytes.
Pan Yan, Deputy Director of Shanghai's Municipal Commission of Economy and Informatization, said industrial competition is shifting from algorithm-focused to data-focused approaches. High-quality corpus data increasingly determines whether AI models can move from research to real-world applications.
Research-Focused AI Applications
Jie Helix, a company focused on AI medical research, demonstrated how generative AI can automate academic workflows. Their system connects to an open agent framework, allowing researchers to build customized "digital employees" for specific tasks rather than relying on rigid software applications.
Black-eyed Owl launched an AI design agent that handles text-to-image generation and material matching, automating the early stages of creative work. The tool aims to reduce repetitive tasks so designers can focus on conceptual work.
Shanghai Artificial Intelligence Laboratory released SafeClaw, an intelligent agent platform designed for security and performance. The system uses hardware-level sandbox isolation and multi-level risk monitoring to address security concerns in open-source AI agent ecosystems.
Physical World Applications
Several companies demonstrated AI moving beyond software into physical devices. Qiduoduo created an AI interactive robot that recognizes text in real time and reads books aloud without requiring prior data entry. Lingmaxing Xiaole built an AI doll equipped to recognize children's emotions and engage in conversations.
Yugou Zhineng showed brain-computer interface products that let users control machines through concentration. Zhiyuan Robotics' subsidiary demonstrated dexterous robotic hands with 10-12 degrees of active freedom, designed for humanoid robots.
Jishizu created a marketplace where robot manufacturers and users can connect. The platform lets employers match specific robots to tasks, from entertainment to industrial work. A company representative said leasing models could lower adoption barriers and accelerate commercialization across the robotics market.
Industry Initiatives
Shanghai launched the "State-Owned Enterprises AI+ Scenario Solicitation" to identify AI use cases that can be implemented, replicated, and scaled across key industries. The city also released the Open Source Intelligent Agent Open Collaboration Initiative, inviting companies including China's three major telecom carriers, SenseTime, and Minimax to help build a secure and open agent ecosystem.
For professionals focused on scientific research, AI for Science & Research resources cover research automation, academic applications, and how to integrate AI into scientific workflows.
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