Core Viewpoint - Hangzhou Municipal Government is soliciting opinions on measures to support the innovation and development of brain-like intelligence industries, emphasizing the establishment of a robust industrial chain and innovation chain for brain-like intelligence projects [1][2]. Group 1: Support Measures - The measures apply to legally registered entities engaged in brain-machine interfaces and brain-like computing [3]. - Key support areas include brain-machine interfaces and brain-like computing, focusing on direct and indirect brain-machine interactions and new computing paradigms that mimic brain information processing [3]. - Financial support includes a 30% subsidy for projects with total investments of 10 million yuan in equipment, software, and clean room renovations, with a maximum subsidy of 100 million yuan per project [5]. Group 2: R&D and Innovation Support - Support for enterprises, universities, and research institutions undertaking national and provincial key technology projects, with subsidies up to 5 million yuan per project [4]. - Encouragement for increased R&D investment, with subsidies based on incremental R&D spending, offering up to 300,000 yuan for qualifying companies [4]. - Support for technology transfer and commercialization, providing subsidies based on actual transaction amounts for technology used in product development [4]. Group 3: Industry Development and Ecosystem - Support for the establishment of new brain-like intelligence companies, offering rental subsidies and capital investment incentives [5]. - Encouragement for the construction of innovation carriers, including overseas R&D institutions and collaborative innovation entities [4][5]. - Emphasis on talent development and financing support, including subsidies for attracting high-level talent and investment in brain-like intelligence enterprises [6][7]. Group 4: Focus Areas for Development - Key focus areas for brain-machine interfaces include materials, signal processing devices, and brain-computer interaction technologies [8]. - Key focus areas for brain-like computing include low-power chips, new computing frameworks, and bio-inspired computing methods [9].
杭州:拟加快类脑智能产业化项目建设,支持类脑智能企业做大规模
news flash·2025-07-08 06:25