与此同时，自动化学院代表杭电和联通数据智能有限公司举行了"杭电—联通数智人工智能与大数据联 合实验室"签约仪式，并围绕大数据、大模型在医疗、文旅等方面的科研合作开展了深入交流。 此次联合实验室的建立，是杭州电子科技大学与联通数智积极响应国家创新驱动发展战略的重要实践。 双方后续将以实验室为平台，汇聚资源、协同攻关，共同为区域数字经济发展与产业智能化升级注入新 动能。 王尧祥对联通数智长期以来的关注与支持表示感谢，强调加快建设创新浙江，因地制宜发展新质生产 力，特别是要强化科技创新和产业创新深度融合，大力推进企业主导的产学研融通创新，让更多科技成 果从"实验室"走向"生产线"的核心发展理念。高校应主动融入产业发展前沿，推动科研成果高效转化。 陈海锋介绍了公司在算力基础设施、行业大模型及数字政府等领域的布局与实践，高度评价杭电在人工 智能领域的科研积累，期待通过共建联合实验室实现优势互补、合作共赢。 会见结束后，学校副校长颜成钢陪同陈海锋一行参观了"在杭电看见数字科技展"及工业互联网研究院， 实地了解学校在数字技术应用与产业服务方面的最新成果。 来源：中国网 近日，联通数据智能有限公司董事长、总经理陈海锋一行到访 ...

来源：中国青年报客户端 中国青年报客户端讯（中青报·中青网记者 张均斌）近日，"杭电-联通数智人工智能与大数据联合实验 室"签约仪式在浙江杭州举行。杭州电子科技大学和联通数据智能有限公司将围绕人工智能与大数据领 域的产学研协同创新开展合作交流。 活动当天，杭州电子科技大学党委书记王尧祥会见了联通数据智能有限公司董事长、总经理陈海锋一 行，双方就服务国家数字经济发展战略、深化校企协同创新等议题进行深入交流。 王尧祥对联通数智长期以来的关注与支持表示感谢，强调在刚刚结束的浙江省委十五届八次全体会议 上，加快建设创新浙江，因地制宜发展新质生产力，是"十五五"浙江高质量发展的核心战略。特别是要 强化科技创新和产业创新深度融合，大力推进企业主导的产学研融通创新，让更多科技成果从"实验 室"走向"生产线"。高校应主动融入产业发展前沿，推动科研成果高效转化。 陈海锋介绍了公司在算力基础设施、行业大模型及数字政府等领域的布局与实践，高度评价杭电在人工 智能领域的科研积累，期待通过共建联合实验室实现优势互补、合作共赢。 据了解，此次联合实验室的建立，是杭州电子科技大学与联通数智积极响应国家创新驱动发展战略的重 要实践。双方后续 ...

报告导读： 恐慌性抛售后，中国股市已跌至关键位置，进入击球区。12-2月是中国政 策、流动性、基本面向上共振的窗口期。布出先手棋，增持中国市场。看好科技/券商/ 消费。 大势研判：市场风险已大幅释放，中国股市进入击球区。 近期中国股市快速走弱，并出现单日恐慌式抛售，市场悲观情绪弥漫。原因在于，临近年末部分投 资人保收益和降仓位动机较高，FED降息预期的降温、美股波动加剧与内部政策缺位交织助推了交易波动和信心走弱，加之权益产品备案放缓市场增量供给不 足，客观上股市微观结构受到负面冲击。与当下谨慎共识不同的是，国泰海通策略坚决看好中国市场前景，股指进入击球区：1）尽管上证回撤5%看似不 大，但创业板指高点回调12%、科创50指下跌近20%、恒生科技下跌22%，调整时间和空间已与历次牛市主线回调相当，恐慌抛售杀出交易风险释放。2） 市场对年末经济工作会议讨论不多，考虑眼下走弱的增长现实和十五五开年经济增速的重要性，政策窗口期临近市场有望建立新预期。3）中金公司合并标志 资本市场改革加快纵深，21日16只硬科技ETF迅速获批隐含监管层稳定市场的决心与行动部署。机会总在恐慌中出现，我们认为，中国股市将逐步企稳与展 开跨 ...

Group 1 - The core conclusion of the report explores investment opportunities in the "14th Five-Year Plan" from two dimensions: strategic directions indicated by planning suggestions and historical focus industries from previous five-year plans [1] - The three main policy lines of the "14th Five-Year Plan" are summarized as "Development," "Livelihood," and "Security," with "Development" focusing on advanced manufacturing and new productivity, "Livelihood" emphasizing domestic demand expansion, and "Security" reinforcing national defense and key technology areas [1][2] - The report indicates that while certain industry themes may create long-term excess returns if performance continues to validate, the likelihood of sustained excess returns throughout the entire five-year planning cycle is low [3] Group 2 - The "14th Five-Year Plan" emphasizes high-quality development, breaking down economic and social development goals into three main lines: "Development," "Livelihood," and "Security," with 12 key tasks identified [2][8] - The "Development" line focuses on enhancing traditional industries, scaling new pillar industries, and ensuring supportive industries for high-quality growth, with a strong emphasis on technological self-reliance [9][10] - The "Livelihood" line aims to address issues related to population structure changes and economic development, focusing on expanding domestic demand and improving residents' income levels to boost consumption in health, education, and elderly care sectors [11][12] - The "Security" line highlights the importance of national defense and ecological safety, with a focus on military modernization, key resource security, and the development of critical technologies [14][17] Group 3 - The investment guidance indicates that key themes and newly emphasized industries may not achieve significant excess returns over the entire five-year cycle, citing examples from previous plans where certain sectors underperformed [15][16] - The report notes that while industries like new energy vehicles have shown potential for long-term excess returns, the possibility of sustained excess returns throughout the five-year planning cycle remains limited due to over-optimistic pricing and cyclical nature of industries [15]

Core Viewpoint - Companies in the computing power infrastructure sector should focus on fulfilling their responsibilities for carbon reduction and achieving net-zero emissions by integrating key elements of the energy, computing power, and equipment industries with local cities, thereby promoting industrial upgrades and green transformations in those cities [1] Group 1: Carbon Reduction Initiatives - BCI Group utilizes a self-built "wind-solar-storage integrated" power generation base located 20KM away to directly connect renewable energy to its computing power infrastructure, achieving synergy between power generation and consumption, and reducing reliance on fossil fuels [1] - The "wind-solar-storage integrated" power generation base in the Dazhong Super Energy Complex is projected to supply over 80 billion kilowatt-hours of green electricity to local computing centers over a 25-year period, resulting in a cumulative reduction of carbon dioxide emissions by up to 10 million tons, thus achieving true "zero-carbon computing power" [1] Group 2: Vertical Integration and Innovation - BCI Group has developed vertical integration capabilities at the scale of ultra-large zero-carbon parks, enabling comprehensive utilization of waste heat by combining high-value thermal energy with excess green energy supplied to computing parks, which also provides heating to local communities [2] - The company has implemented the industry's first surface water diversion system for computing infrastructure in Dazhong, promoting environmentally friendly water resource recycling [2] Group 3: Local Sustainable Integration - BCI Group has introduced various prefabricated electromechanical equipment modules in Dazhong, injecting new industrial momentum into the city, which has a strong traditional industrial manufacturing base, and is cultivating a workforce skilled in prefabricated equipment modules for energy, computing power, and construction [2]

Core Insights - OpenAI's CEO Sam Altman and his executive team have led a series of complex partnership deals worth up to $1.5 trillion, closely tying the company's fate to several major tech giants [1] - Altman bypassed traditional investment banking and legal teams, negotiating directly with companies like NVIDIA, Oracle, AMD, and Broadcom for long-term agreements related to chip and computing infrastructure [1][2] - The partnerships are structured to stimulate chip manufacturing and R&D capacity, with financial details to be finalized later, allowing for flexibility in procurement during financial constraints [2][3] Partnership Dynamics - The negotiation approach relies heavily on internal team members rather than external advisors, simplifying the process and reducing resistance [4] - Notable partnerships include a $1 trillion investment from NVIDIA in exchange for $350 billion in chip purchases, and a $300 billion, five-year agreement with Oracle [4][5] - OpenAI's collaboration with CoreWeave began with a $11.9 billion computing supply agreement, which later expanded to $22 billion, significantly increasing CoreWeave's stock price [3] Executive Team Contributions - Key figures in the negotiation process include Greg Brockman, CFO Sarah Friar, and Peter Hoeschele, who have been instrumental in executing Altman's vision [2][3] - Sarah Friar, with a background in finance and previous roles at Goldman Sachs and Nextdoor, plays a crucial role in ensuring the financing of these deals [3] - The internal team is focused on achieving Altman's ambitious goal of "1 gigawatt per week" in computing power, with a dedicated team handling the execution details of various agreements [3]

Core Insights - The Ministry of Industry and Information Technology (MIIT) has initiated a special action for "millisecond computing" which is expected to stimulate demand for network equipment and computing infrastructure in the short term, while opening up new opportunities for edge computing and AI applications in the medium to long term [1][2] Group 1: Demand for Computing Infrastructure - The MIIT has set clear requirements for computing infrastructure, emphasizing the need for millisecond interconnectivity (<1ms) between computing centers, resources, and application terminals, which necessitates a significant upgrade of network infrastructure [1] - This upgrade will indirectly drive demand for computing chips, servers, optical modules, and switches, which are critical for network transmission [1] Group 2: Intelligent Computing Network Development - The special action promotes task-based scheduling and the development of intelligent network operations, with edge computing and computing scheduling becoming key components in building an intelligent computing network [2] - Increasing the density of edge computing nodes will allow computing resources to be pushed to the edge of urban networks, supporting AI applications that require access to large cloud models and data [2] Group 3: Acceleration of AI Application Commercialization - The initiative aims to achieve millisecond accessibility for computing applications, which is crucial as AI applications increasingly demand low latency to function effectively [3] - Reducing latency will accelerate the commercialization of AI applications, particularly in scenarios involving large data interactions, enhancing user experience [3] - In the intelligent driving sector, the use of automotive-grade Time-Sensitive Networking (TSN) chips will enable low-latency and high-reliability data transmission, meeting the needs of autonomous driving and complex in-vehicle applications [3]

Core Insights - SenseTime Technology has signed a strategic cooperation agreement with Cambricon Technologies, focusing on the development of domestic AI infrastructure and vertical business expansion [1] - The collaboration aims to leverage both companies' strengths in AI model development and intelligent computing chips to foster innovation and industry transformation [1] - The partnership will also work on adapting the latest hardware and software products for the computing market and creating integrated solutions for specific industry applications [1] Group 1 - The strategic cooperation will involve multi-level, long-term collaboration to build a more inclusive AI development ecosystem [1] - SenseTime's expertise in AI infrastructure and application, combined with Cambricon's experience in computing chips, will drive a synergistic product innovation system [1] - The goal is to cultivate high-growth innovative enterprises through ecosystem empowerment [1] Group 2 - Both companies will focus on adapting their latest hardware and software products to meet market demands [1] - They will develop integrated solutions tailored for vertical industry scenarios, particularly in enterprise services [1] - The partnership aims to achieve scalable and replicable commercial cooperation outcomes [1]

Core Insights - The 2025 East Lake Forum in Wuhan aims to establish itself as a premier platform for the release of research findings and innovative ideas [1] Group 1: Digital Economy Development - The "Global Digital Economy Development Index 2025" report indicates that in 2024, the United States, China, and the United Kingdom will lead the global digital economy rankings, with San Francisco, Beijing, and New York as the top cities [5] - China's digital economy is characterized by four significant trends: continuous enhancement of digital infrastructure, notable effects of digital innovation, accelerated iteration of emerging industry technologies, and deepening integration of industrial digital transformation [5] - The core digital economy industries in Hubei are projected to grow steadily, increasing their share of Hubei's GDP from 5.0% in 2018 to 9.6% in 2024, positioning Hubei as a "digital engine" for central China [5] Group 2: Innovation and Research Competitiveness - The "Wuhan Science and Technology Innovation Center Index Report 2025" shows a 14% increase in Wuhan's innovation capability, with knowledge creation leading the growth [6] - The "China Basic Research Competitiveness Report 2025" ranks Hubei 6th nationally in basic research competitiveness, with strengths in various scientific disciplines [8] - The "Global Enterprise Innovation Index 2025" from Wuhan University highlights that China has 67 companies in the top 100 of five future industries, ranking third globally [8][9] Group 3: Regional Innovation Dynamics - China's future industry innovation resources are concentrated in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macau regions, showcasing a "multi-point leading, cluster advancement" spatial development pattern [9] - Hubei is recognized as a strategic support for central China's rise, although it still has significant gaps compared to the leading regions [9] Group 4: Collaborative Initiatives - A technology cooperation framework agreement was signed between the Zhejiang and Hubei provincial science and technology departments to enhance cross-regional innovation collaboration [10]

Group 1 - The strategic cooperation agreement for artificial intelligence infrastructure was signed between the Guangxi government and Beijing Century Internet Broadband Data Center Co., Ltd., along with the Zhongguancun Super-Interconnection New Infrastructure Industry Innovation Alliance [1] - The agreement aims to enhance the development of artificial intelligence in Guangxi, leveraging the region's strengths and opportunities from the national AI capability construction plan [1] - The cooperation will focus on building an AI development path that integrates research from major cities with applications in Guangxi and ASEAN countries, emphasizing the role of AI and enterprises [1] Group 2 - Century Internet and the Super-Interconnection Innovation Alliance plan to utilize this agreement to enhance their investment in AI industries and computing infrastructure, particularly in the ASEAN region [2] - The collaboration aims to accelerate the construction of projects such as the ASEAN headquarters and actively participate in the establishment of the China-ASEAN AI Application Cooperation Center [2] - The partnership is expected to contribute to the high-quality development of Guangxi by leveraging its geographical advantages and rich AI application scenarios [2]