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技术突破夯实产业发展基础 类脑智能加速落地应用
Zheng Quan Ri Bao· 2025-08-06 16:06
Group 1 - The release of the new generation neuromorphic brain-like computer "Wukong" by Zhejiang University marks a significant advancement in China's neuromorphic computing field, achieving international advanced levels with a neuron count close to that of a macaque brain [1] - The successful implementation of "Wukong" is expected to drive the brain-like intelligence industry from single breakthroughs in brain-machine interfaces to a systematic development, benefiting related sectors such as intelligent robotics [1] - The infrastructure for China's brain-like intelligence industry is steadily improving, with various algorithm models transitioning from laboratories to market applications [1] Group 2 - Strong Brain Technology, as the first domestic unicorn in the brain-machine interface field, has developed multiple intelligent products, including "smart bionic hands" and "brain-machine intelligent sleep instruments," achieving mass production [2] - The combination of "toolchain + benchmark products" is shortening the technology validation cycle and fostering early market user habits, shifting the industry from "research-driven" to "demand-driven" [2] - The brain-machine interface sector is experiencing rapid commercialization, with applications in healthcare, such as clinical trials for brain-machine products by Hangzhou Boling Medical Technology [2] Group 3 - Smart education is emerging as a significant application area for brain-like intelligence, with products aimed at enhancing focus among youth using non-invasive brain-machine interface technology [3] - The application of brain-like intelligence is expected to exhibit a "three high" trend: high-frequency interaction, high-precision control, and high-value medical applications [3] - The development of the brain-like intelligence industry is characterized by a three-pronged approach of policy guidance, capital support, and technological iteration [3]
政策加码助力类脑智能产业“从0到1” 上市公司抢滩布局
Zheng Quan Ri Bao· 2025-07-09 16:26
Core Viewpoint - The Hangzhou Municipal Government is soliciting public opinions on measures to support the innovation and development of brain-like intelligence industries, emphasizing its strategic importance in the next generation of artificial intelligence [1][2]. Group 1: Policy Support and Development - The measures proposed by the Hangzhou Digital Economy Bureau focus on three areas: supporting innovation and research in brain-like industries, promoting the agglomeration of brain-like intelligent industries, and building an ecosystem for brain-like intelligent industries [1]. - The State Council has included "brain science and brain-like research" as a major national science and technology project since the 13th Five-Year Plan, with further emphasis in the 14th Five-Year Plan on incubating future industries in cutting-edge technology areas [1][2]. Group 2: Industry Participation and Innovation - Multiple regions, including Beijing, are also developing targeted plans for brain-machine interface innovation, aiming for a preliminary industrial ecosystem by 2030, with applications in healthcare, wellness, industry, and education [2]. - Companies like Tencent Holdings have made significant strides in the brain-machine interface field, with Tencent Technology obtaining a patent for a method related to brain-machine interfaces and motion control [2][3]. Group 3: Emerging Companies and Market Dynamics - Innovative companies are actively participating in the brain-like intelligence sector, such as Zhejiang Qiangnao Technology, which has over 400 patents in non-invasive brain-machine interface technology, ranking among the top globally [3]. - Large technology firms can leverage their R&D capabilities and market influence to accelerate the development of brain-like intelligence, while specialized companies can focus on niche markets, providing tailored solutions [3].
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
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].
上海打造类脑智能产业集聚高地,行业迎来哪些机遇?
Di Yi Cai Jing· 2025-06-28 02:11
Core Insights - Shanghai is making significant progress in the development of brain-like intelligence technology, clinical research, and testing, with a focus on building an ecosystem for the industry [1][2] - The Yangpu District has released an implementation plan to promote the brain-like intelligence industry, aiming to create a collaborative environment for upstream and downstream enterprises and attract multi-level capital [1][2] Industry Development - The implementation plan includes the establishment of a future industry technology park, a public technology platform, an innovation development alliance, and specialized incubators for brain-like intelligence [1][2] - The plan aims to cultivate 3-5 "gazelle" companies and gather 10-15 representative enterprises in the brain-like intelligence sector, forming a comprehensive industrial ecosystem [1][2] Technological Advancements - Recent technological developments include the world's first "brain-spinal interface" technology and an implantable visual prosthesis that restores vision in animal models [2][3] - Clinical trials for brain-machine interface products targeting conditions like Parkinson's, depression, and epilepsy are underway in several top-tier hospitals in Shanghai [2][3] Regulatory Framework - The Shanghai Medical Device Testing Research Institute is leading the establishment of industry standards for brain-machine interface technologies, enhancing the testing capabilities for these products [3] - The National Medical Insurance Administration has initiated pricing guidelines for neurological services related to brain-machine interface technologies, addressing previous gaps in insurance coverage [3] Ecosystem and Talent Pool - Yangpu District benefits from a concentration of research talent from several universities, including Fudan University and Tongji University, which supports the rapid development of the brain-like intelligence industry [3] - The successful development of the industry relies on the construction of medical resources and the establishment of foundational technologies, databases, and computational resources [3] Market Opportunities - The brain-like intelligence industry has broad and expanding applications, including medical-grade brain-machine interfaces, home rehabilitation, cognitive training, and educational training [4][5] - Companies are encouraged to explore diverse payment models and new market scenarios to meet the varied demands of the market [5]
关于发布2025年度关键技术研发计划“类脑智能”项目申报指南的通知
机器人圈· 2025-06-13 09:42
Core Viewpoint - The article discusses the 2025 Key Technology R&D Plan for "Brain-like Intelligence" projects in Shanghai, emphasizing the importance of innovation and collaboration in advancing brain-inspired technologies and applications. Group 1: Brain-like Intelligent Product Development - Direction 1 focuses on developing brain-like fusion visual sensors aimed at XR and intelligent terminal applications, targeting a resolution of at least VGA, an equivalent frame rate of no less than 1000 frames, and a perception power consumption of no more than 50mW [2][3] - Milestone 1 includes completing chip testing and application validation with at least two enterprise users [2] - Milestone 2 aims for mass production with a target of selling no less than 100,000 units [3] Group 2: Common Technology R&D Service Platform Construction - Direction 1 aims to establish a public service platform for brain-like intelligence applications, creating at least three industry data sets and providing open data services exceeding 5000 hours [13] - The platform will support the development and validation of new models and algorithms, with a service revenue target of no less than 1 million yuan [13] - The execution period for this initiative is from August 1, 2025, to July 31, 2027 [14] Group 3: Disruptive Technology Research - Direction 1 involves exploring new principles and methods for brain-inspired intelligence, focusing on algorithm and model development [18] - The execution period for this research is also from August 1, 2025, to July 31, 2027 [19] - Funding for this direction is capped at 100 million yuan for up to three projects, with a required co-funding ratio of at least 2:1 [19] Group 4: Application and Submission Requirements - Applicants must be registered entities in Shanghai with the capability to implement projects [27] - The application process is conducted online, with a submission window from June 20, 2025, to July 9, 2025 [35] - All applicants must adhere to research integrity and ethical guidelines [27][28]
余杭打造“三大成长营”推动项目快招引、真落地
Hang Zhou Ri Bao· 2025-05-15 02:18
Group 1 - The core objective of the training program is to develop a versatile team of investment promotion officials who are knowledgeable in economics, proficient in industry, skilled in negotiation, capable of implementation, and focused on service [1][2] - The training program categorizes participants into three main groups: platform mainline, departmental cooperation line, and town street implementation line, creating "three major growth camps" [2] - The curriculum includes four main modules: policy, skills, case studies, and market analysis, allowing participants to enhance nine specific capabilities related to project evaluation, coordination, and negotiation [2] Group 2 - The focus is on attracting major industrial projects in fields such as artificial intelligence, low-altitude economy, humanoid robots, and brain-like intelligence, which require high levels of expertise and rapid technological adaptation [4] - A plan is in place to establish a talent pool of over 100 investment promotion officials, aiming for a "three-year foundation, five-year talent development" strategy to cultivate a group of versatile business professionals [5] - The program includes practical platforms for showcasing capabilities, such as project-specific investment promotion sessions and competitive events to stimulate potential and enhance performance through peer comparison [4]