加快培育新质生产力、布局人工智能产业，委员们这样说

Group 1: Government Initiatives and Proposals - The Beijing government aims to accelerate the construction of a global benchmark city for the digital economy and fully implement the "Artificial Intelligence +" initiative, establishing a national AI application pilot base [1] - Multiple committee members at the Two Sessions have proposed nurturing new quality productivity, suggesting the layout of pilot platforms, enhancing AI computing power utilization, and promoting the development of embodied intelligence industries [1] Group 2: Challenges in New Quality Productivity Development - There are existing issues in the development of new quality productivity, such as "pilot gaps," poor collaboration mechanisms, and insufficient financial support [2] - The lack of pilot facilities in cutting-edge fields hinders the rapid transformation of laboratory results into industrial capacity, with low local landing rates for key laboratory results [2] Group 3: Recommendations for Improvement - A proposal to establish a cross-field "pilot sharing alliance" to integrate resources from universities, research institutions, and leading enterprises, focusing on high-end chips, biomanufacturing, and robotics [2] - Suggestions include creating a talent directory in the new quality productivity sector and providing annual talent introduction quotas for specialized "little giant" enterprises [5] Group 4: Financial Support and Innovation - Recommendations to expand intellectual property pledge financing and provide interest subsidies for eligible private enterprises, along with establishing a venture capital fund focused on future industries like AI and commercial aerospace [5] - The establishment of a collaborative community for industry-university-research integration to address the disconnect between academic research and enterprise needs [4] Group 5: Enhancing AI and Embodied Intelligence - The importance of building a green intelligent computing power management system to address energy consumption bottlenecks and achieve carbon neutrality [6] - The rapid development of embodied intelligence is noted, with a focus on overcoming existing shortcomings in engineering verification platforms, standard testing systems, and regulatory mechanisms [7]