建设人工智能创新高地， 杭州这样干！

Core Insights - Hangzhou is accelerating its development as an artificial intelligence innovation hub, with a focus on high-quality growth in the AI industry [1][2] - The city aims to exceed a computing power of 50 EFLOPS by 2025, cultivate two internationally leading foundational models, and achieve over 390 billion yuan in revenue from the core AI industry [2][3] Group 1: Implementation Plans - The upcoming implementation plan includes five major projects: model breakthroughs, foundational computing, data integration, application empowerment, and industrial chain clustering [3] - Support for enterprises in model research and development will be emphasized, with a focus on establishing a supply mechanism for key elements and cost-sharing for trial and error [3] Group 2: Policy Measures - The implementation plan outlines 20 policy measures to support innovation costs, cultivate application ecosystems, and activate innovation elements [5] - Annual subsidies of 2.5 billion yuan will be allocated for smart computing services, with additional support for enterprises undertaking key research tasks [5] Group 3: Talent Development - There is a strong emphasis on cultivating composite talents in AI, encouraging collaboration between enterprises and local universities to establish research institutes and training bases [6] - AI talent plans will be integrated into an industry mentor database to enhance the talent pool [6] Group 4: Innovation Spaces - Six industrial ecological innovation spaces have been established to support the AI industry, providing a comprehensive operational support system and various services [7][8] - The Hangzhou AI Industry Innovation Center will integrate resources and services to foster the AI ecosystem [9] Group 5: Industry Collaboration - Key stakeholders, including government officials and industry leaders, are discussing strategies to enhance AI development and establish Hangzhou as a global AI innovation hub [10][12] - The focus is on creating a collaborative ecosystem that integrates technology, talent, and application scenarios to drive AI advancements [12]