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北京AI企业数量占全国一半,未来扶持力度更大 | 活力中国调研行
Di Yi Cai Jing· 2025-06-17 04:55
Core Viewpoint - Beijing is set to support general artificial intelligence (AI) operational services with a maximum funding of 30 million yuan to accelerate the development of a globally influential AI innovation hub and industrial base [1][2] Group 1: Support for Innovation - Beijing will implement multiple measures to support significant original innovations, including enhancing the innovation mechanisms of new research institutions like the Zhiyuan Institute [1] - The focus will be on forward-looking fields such as embodied intelligence, AI in life sciences, and AI for science, while also strengthening technological reserves for future industrial development [1] Group 2: Financial Support and Development - The city will provide up to 30 million yuan in support for general AI operational services that significantly enhance manufacturing efficiency and optimize production management [2] - There will be a push for integrated development of data and applications, promoting collaborative efforts across departments and regions to deploy large model products [2] Group 3: Talent and Environment - Efforts will be made to cultivate young talent in the AI field through national-level AI academies, aiming to establish a talent hub [2] - The technology finance service system will be improved, with increased direct investment from municipal and district-level AI industry funds to support enterprise growth [2] Group 4: International Collaboration - Beijing aims to enhance its international influence in AI by building a global "open-source capital," fostering international dialogue on AI safety and research cooperation [2] - The goal is to establish a global consensus on AI safety and governance, contributing to the realization of a shared future for humanity [2] Group 5: Industry Growth - By 2024, the number of AI enterprises in Beijing is expected to exceed 2,400, with a core industry scale nearing 350 billion yuan, representing half of the national totals in both enterprise count and industry scale [2]
影响市场重大事件:陈茂波表态,香港金管局将尽快处理稳定币牌照申请
Mei Ri Jing Ji Xin Wen· 2025-06-16 23:03
Group 1: Stablecoins and Digital Assets - The Hong Kong Monetary Authority will expedite the processing of stablecoin license applications following the enactment of the Stablecoin Ordinance, in response to the growing demand for digital assets [1] Group 2: Pharmaceutical Innovation - The National Medical Products Administration plans to complete the review and approval of clinical trial applications for innovative drugs within 30 working days, aiming to enhance the efficiency of clinical research and support the development of urgently needed drugs [2] Group 3: Investment in Chinese Private Enterprises - Goldman Sachs reports an improving mid-term investment outlook for Chinese private enterprises, highlighting a list of ten favored companies with a total market capitalization of $1.6 trillion, representing 42% of the MSCI China Index [3] Group 4: Foreign Trade Performance - China's foreign trade maintained steady growth in May, with total imports and exports increasing by 2.7% and exports rising by 6.3%, attributed to the country's commitment to expanding openness and upgrading its industrial structure [4] Group 5: Unicorn Enterprises Policy - The Ministry of Industry and Information Technology is formulating policies to cultivate and grow unicorn enterprises, enhancing support for specialized and innovative small and medium-sized enterprises [5] Group 6: Quantum Computing Development - China's first superconducting quantum computing measurement and control system, designed for a thousand-bit scale, has been delivered, laying a solid foundation for the development of larger-scale fault-tolerant quantum computers [6] Group 7: Technology Insurance Policy - Shanghai has introduced new policies to support high-quality development of technology insurance, focusing on future industries and cutting-edge technologies to foster a partnership between the insurance industry and emerging sectors [8] Group 8: Agricultural Innovation - The Ministry of Agriculture and Rural Affairs has issued measures to enhance the management of crop varieties, emphasizing the collection and utilization of genetic resources and the breeding of breakthrough new varieties [9] Group 9: 3D Printing and Intellectual Property - The popularity of Labubu models has raised concerns about potential legal issues related to copyright and trademark infringement in the 3D printing community, as unauthorized reproductions could lead to significant legal consequences [10] Group 10: Payment and Clearing Business Continuity - The China Payment and Clearing Association has issued guidelines to ensure the continuity of payment and clearing services during peak marketing periods, emphasizing the importance of preparedness for extreme weather events [11]
从 “碎片化” 到 “全链条”:上海发布科技保险高质量发展指导意见
Core Viewpoint - The Shanghai Financial Regulatory Bureau and the Shanghai Science and Technology Commission have issued guidelines to develop a high-quality technology insurance system that aligns with the construction of an international technology innovation center in Shanghai [1] Group 1: Framework and Objectives - The guidelines propose a comprehensive insurance development framework that covers the entire chain of technological innovation and the full lifecycle of technology enterprises [2] - The initiative aims to inject stability into key areas such as technological breakthroughs, industrial upgrades, and international expansion of enterprises [2] - The guidelines emphasize the importance of supporting major scientific research tasks and nurturing future industries through technology insurance [2] Group 2: Product and Capability Innovation - The introduction of "Shanghai Science Points" aims to explore precise pricing in insurance and promote the deep application of artificial intelligence in the insurance sector [2] - Large insurance institutions are encouraged to play a leading role in building specialized products, professional talent, and dedicated systems [2] - The guidelines advocate for the development of specialized regulatory methods that align with technology insurance [2] Group 3: Partnership and Long-term Vision - The guidelines focus on creating a "partnership" between the insurance industry and future industries, emphasizing a win-win process and the importance of long-term commitment to innovation [3] - Shanghai's technology insurance initiatives began in 2010, with the establishment of a tripartite risk-sharing model [3] - As of the first quarter of this year, Shanghai's technology insurance provided risk coverage of 2,572 billion yuan, marking a 16% year-on-year increase [3] Group 4: Ecosystem Development - The guidelines promote an "ecological, systematic, and international" approach to provide comprehensive risk protection and development engines for technological innovation [4] - The development emphasizes deep collaboration among government, insurance institutions, research institutes, and enterprises [4] - A technology insurance expert database and data-sharing mechanisms are proposed to enhance standardized evaluations [4] Group 5: Systematic and International Integration - The policy aims to cover the entire chain of technological innovation and the lifecycle of technology enterprises, focusing on key stages such as research and development, pilot testing, and industrialization [5] - The guidelines leverage Shanghai's international reinsurance center to provide cross-border risk defense capabilities for enterprises expanding globally [5] - The introduction of special risk transfer tools and the integration of insurance and loan services are aimed at creating a sustainable and manageable technology insurance ecosystem [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]
《环球时报》专访广东省智能科学与技术研究院院长张旭:“类脑智能领域是一片蓝海”
Huan Qiu Wang Zi Xun· 2025-06-10 23:05
Core Concept - The article discusses the rapid development and potential of brain-like intelligence (neuromorphic intelligence) in China, highlighting its distinction from artificial intelligence and brain simulation technologies [1][3]. Group 1: Development and Characteristics of Neuromorphic Intelligence - Neuromorphic intelligence is not a simple imitation of the brain but is designed to mimic the brain's structure and functioning, enabling intelligent systems to perceive, understand, learn, and make decisions [3][4]. - The field has gained momentum due to advancements in neuroscience and related technologies, with significant progress made in the last decade, positioning China as a global leader in this domain [3][4]. - Neuromorphic intelligence differs from artificial intelligence and brain simulation in definitions, technical principles, and application scenarios, indicating a unique development path [3][5]. Group 2: Applications and Future Prospects - Neuromorphic intelligence is in its early application stage, with potential uses in various fields, particularly in medicine and communication technology, supported by national policies promoting interdisciplinary research [5][6]. - Breakthroughs in brain-computer interface technology are expected to enhance memory and improve sleep quality, indicating transformative impacts on human health [5][6]. - The future may see widespread adoption of compact, energy-efficient neuromorphic computers in households and workplaces, fundamentally changing lifestyles and making intelligent services more accessible [5][6]. Group 3: Economic and Social Implications - The development of neuromorphic intelligence is anticipated to position China as a leader in intelligent design and manufacturing, benefiting various industries including IoT and telecommunications [6]. - China's large population and diverse application scenarios provide a robust foundation for the growth of neuromorphic intelligence, with significant demand in areas like pain management [6]. - The emphasis on independent intellectual property rights in neuromorphic intelligence development reflects a commitment to domestic innovation while remaining open to international collaboration [6].
城市24小时 | 省委书记挂帅,海洋经济第一省又出招了
Mei Ri Jing Ji Xin Wen· 2025-06-06 14:08
Group 1 - The core viewpoint emphasizes the importance of developing the marine economy and building a strong marine province in Guangdong, which is seen as crucial for both the province and the nation [2][3] - Guangdong has established a Marine Strong Province Construction Work Committee, led by the provincial party secretary, to coordinate efforts across various departments to promote marine economic development [1][3] - In 2024, Guangdong's marine GDP reached 2.002 trillion yuan, maintaining its position as the largest marine economy in China for 30 consecutive years, contributing 27% to the region's nominal economic growth [2][3] Group 2 - The newly passed "Regulations on Promoting High-Quality Development of the Marine Economy" will take effect on July 1, 2023, marking a significant step in Guangdong's efforts to enhance its marine economy [3][4] - The marine economic structure in Guangdong shows a high proportion of the tertiary industry at 65.6%, which is 6 percentage points higher than the national average, indicating a need for better balance with primary and secondary industries [3] - The current transition in China's marine economy towards deep-sea resource development presents new opportunities for Guangdong, which is encouraged to leverage technology and innovation in marine sectors [3][4]
从“国产轮胎TOP1”中策橡胶上市看杭州制造业发展
Hang Zhou Ri Bao· 2025-06-06 02:19
企业成长的背后,是杭州深厚的产业底蕴与战略支持。这座城市为企业提供了产业链配套、技术人 才等先天优势,而在中策橡胶关键转型期,杭州国资的战略入股、产业政策的精准扶持,更为其突破发 展瓶颈注入强劲动力。未来,企业依托现有的品牌、技术、市场、人才等方面的优势,通过增加投资、 技术创新和资源整合,还会进一步扩大其在国内市场和国际市场的份额。 向"新"要发展 新质生产力激活发展动能 6月5日上午,杭企中策橡胶集团股份有限公司(下称"中策橡胶")在上海证券交易所上市。本次上 市,中策橡胶的发行价为46.50元/股,发行数量为8744.8560万股,预计募资总额约40.66亿元。该股开 盘报57.00元,截至收盘报49.68元,总市值434.44亿元。 这是今年截至目前,A股市场最大规模的IPO项目。这场资本盛宴不仅是企业发展的重要里程碑, 也证明了传统制造业在创新驱动下的无限潜力,展现了杭州这座城市在产业转型中的战略定力与创新智 慧。 67年风雨历程 企业与城市共成长 中策橡胶的发展史,就是一部杭州工业的奋斗史。中策橡胶是国内最早从事轮胎制造的企业之一, 其前身为1958年创建的杭州海潮橡胶厂,经过67年的发展,企业已 ...
2025年大模型一体机服务商研究报告
EqualOcean· 2025-06-05 06:46
Investment Rating - The report indicates a strong investment outlook for the AI large model industry, particularly highlighting the rapid growth and commercialization of large model applications in China [6]. Core Insights - The report emphasizes that the dual drivers of policy and technology are accelerating the development of China's large model industry, with significant investments from state-owned enterprises and government sectors [7][9]. - The demand for integrated large model machines is surging due to challenges in application deployment, with the market expected to reach a scale of hundreds of billions [30][36]. - DeepSeek is highlighted as a leading open-source large model, achieving performance levels comparable to top models like OpenAI's o3 and Gemini 2.5 Pro, which has garnered significant attention in the market [11][12]. Summary by Sections 1. Policy and Technology Driving Large Model Industry - The report outlines a trend where AI policies are increasingly focused on industry applications, with multiple ministries issuing guidelines to empower AI large models across various sectors such as healthcare and education [10]. - A comprehensive review of policies from 2024 to 2025 shows a systematic push from national to local levels, with cities like Beijing and Shanghai implementing action plans for large model development [9][10]. 2. Challenges and Demand for Integrated Machines - The report identifies several challenges in deploying large models, including complex software stack deployment, high computational requirements, and data privacy concerns, which are driving the demand for integrated large model machines [30][31]. - The market for integrated large model machines is projected to grow significantly, with state-owned enterprises and government agencies being key customers due to their need for localized and private deployments [36][39]. 3. Case Studies and Market Examples - The report provides examples of successful deployments of DeepSeek in various sectors, including energy and finance, showcasing its effectiveness in enhancing operational efficiency [25][26]. - It highlights the rapid adoption of integrated large model machines by numerous enterprises, with a focus on their ability to simplify deployment and reduce operational costs [36][41]. 4. Future Trends and Innovations - The report anticipates that future developments in integrated large model machines will focus on lightweight deployment and high integration, with advancements in model compression and dynamic inference optimization [57][59]. - It also discusses the potential integration of emerging technologies such as quantum computing and brain-like intelligence to enhance the capabilities of large model machines [63][64].
千名青年专家汇聚珠海横琴 探讨人工智能多样化发展路径
Core Insights - The 2025 CCF Youth Elite Conference (YEF2025) is being held in Zhuhai, Guangdong, focusing on diverse development paths in artificial intelligence (AI) [1] - The conference features various sessions including keynote speeches, forums, and specialized discussions, emphasizing the need for foundational breakthroughs and original innovations in AI [1][2] Group 1: Conference Overview - The conference is attended by over 1,000 young experts and scholars from the computer field, discussing the future of AI [1] - The event includes 7 keynote reports, 5 thought showcase reports, 2 main forums, and 22 specialized forums [1] Group 2: Key Themes and Innovations - The conference theme "Intelligent New Paths" reflects the current state of AI, highlighting the transition from lagging behind to achieving parity in certain areas [2] - The need for leading innovations in AI is emphasized, particularly in light of the maturity of large language models [2] Group 3: Research and Development Focus - The Guangdong-Hong Kong-Macao Greater Bay Area is positioned as a high-level open frontier for technology development, with significant policies already implemented [2] - The Guangdong Provincial Institute of Intelligent Science and Technology is focusing on brain science and brain-like intelligence, establishing research centers in cognitive neural networks, brain-like computing systems, and intelligent biomedicine [2] Group 4: Class Brain Intelligence - Academician Zhang Xu discusses class brain intelligence as a crucial future industry direction, aiming to overcome traditional computing limitations by mimicking biological brain mechanisms [3] - Class brain intelligence emphasizes characteristics such as parallelism, integrated storage and computation, and plasticity, which are essential for processing unstructured data efficiently [3] Group 5: Technological Advancements - Professor Ye Le from Peking University introduced a three-dimensional storage-computation integrated AI chip to address challenges like the diminishing effectiveness of Moore's Law and increasing computational demands [6] - The long-term vision includes integrating this chip technology into robots, suggesting a future where the number of robots could exceed that of humans [6]
吉林大学钱志辉教授:《源自人体的启示:仿生拉压体机器人原理与技术》
机器人圈· 2025-05-21 09:40
Core Viewpoint - The article discusses advancements in bionic robotics and intelligent control, emphasizing the need for innovation in robot design to achieve better energy efficiency and functionality, particularly in humanoid robots [2][20]. Group 1: Bionic Robotics and Intelligent Control - The "2025 Bionic Robot and Intelligent Control Forum" held in Hangzhou attracted nearly 400 participants and over 10,000 online viewers, highlighting the growing interest in bionic robotics [2]. - The forum featured a keynote report by Professor Qian Zhihui from Jilin University, focusing on the principles and technologies behind bionic tensile and compressive robots [2]. Group 2: Current Challenges in Humanoid Robotics - Humanoid robots are currently in a "showcase-first" stage, with significant gaps in practical application, including issues with safety, arm manipulation, and high energy consumption [4]. - The Cost of Transport (COT) metric indicates that humanoid robots have much higher energy consumption compared to humans, with values such as 5 for Boston Dynamics' Atlas and 1.6 for Honda's Asimo, while humans have a COT of only 0.05 [5]. Group 3: Analysis of Robotic Limitations - Three main issues are identified in humanoid robots: 1. Material composition leads to poor safety in human-robot physical contact due to rigid components [6]. 2. Joint structures are simplified and require complex control, increasing energy consumption [6]. 3. Power systems are inefficient due to multiple energy conversions, unlike the integrated system found in human muscles [6]. Group 4: Innovations in Bionic Robotics - The concept of "Layagrity" is introduced, which combines tensile and compressive elements to create a new design for advanced humanoid robots [7]. - The first generation of bionic tensile robots has been developed, achieving walking speeds of 2.0-4.5 km/h with a COT of 0.069-0.107, significantly lower than traditional humanoid robots [11]. Group 5: Advances in Dexterous Manipulation - The development of bionic hands faces challenges due to the trade-off between rigid and soft hands, necessitating innovative solutions [14]. - A new three-dimensional dynamic X-ray imaging system has enabled the study of human hand biomechanics, leading to improved designs for bionic hands that replicate human dexterity [14]. Group 6: Future Directions in Robotics - The research team aims to create a modular bionic system that incorporates human-like movement characteristics, focusing on dynamic stability and high precision in robotic arms and hands [20]. - The ultimate goal is to overcome existing limitations in humanoid robotics by integrating biological design principles to enhance movement intelligence and adaptability [20].