来源：美通社 晶科能源：光伏技术创新与落地的开拓者与引领者 晶科能源作为光伏行业的技术领军企业，在研发和技术创新方面表现卓越。近年来，公司累计研发投入 超过 200 亿元，研发团队规模近 2000 人，拥有超过 5500 件专利，其中已授权专利超过 3100 件，是行 业内专利申请和授权数量最多的企业之一。其在 N 型 TOPCon 技术领域尤为突出，拥有相关专利731 件，并推动了该技术成为行业主流。 晶科能源的研发基础设施完善，获得了包括国家工业设计中心、国家企业技术中心、国家知识产权示范 企业等多项国家级资质认证，并设有叠层技术重点实验室等20个省级科研平台。公司近期在技术突破方 面取得了重要里程碑：基于 TOPCon 技术平台的高效电池转换效率达到 27.79%，其基于N型钙钛矿叠 层电池转换效率达到 34.76%，分别打破世界纪录，展现了晶科能源在技术研发上的深厚积累与前瞻布 局。上述技术突破验证了 TOPCon 技术向钙钛矿叠层演进的兼容性与潜力，并引发了包括埃隆•马斯克 在内的全球科技界关注。晶科能源凭借领先的效率指标和前瞻性的技术布局，稳固了其在光伏技术革新 中的引领地位。 深圳2026年1月 ...

1月7日下午，上海市静安区召开"十五五"规划各界人士征求意见座谈会，邀请10位来自科研院校、国有 企业、外资企业、民营企业的各界人士代表为静安"十五五"发展建言献策。 会上，区发展改革委介绍了静安区"十五五"规划纲要（草案）的主要内容。各界人士代表立足各自的专 业领域围绕静安"十五五"规划纲要踊跃发言。同济大学党委副书记刘润提出，推动科研院校与静安共建 高能级的政产学研用的创新联合体，赋能静安产业的能级跃升；路威酩轩大中华区总裁吴越提出，消费 场景创新要关注聚人聚事；毕马威中国副主席杨洁提出，要以开放提升服务深度构建国际静安服务的新 场景，以创新焕新科技城区的新魅力；上海思朗科技股份有限公司董事长、CEO查浩提出，要将科学智 能纳入到"十五五"规划的重点发展领域。 区委书记钟晓咏认真听取与会专家的发言，不时与发言专家就相关内容进行深入交流探讨，并要求与会 部门认真研究落实各界人士代表的意见建议，将大家的真知灼见切实纳入到"十五五"规划纲要之中。钟 晓咏表示，专家们非常专注研究了静安在"十五五"发展中需要把握的重要领域和趋势，对静安理解非常 深刻也充满感情。他提出，一是要坚持把静安的发展放到上海"五个中心"建设 ...

Group 1 - The article highlights the unveiling of the world's first small modular reactor (SMR) by a South Korean company at CES 2026, emphasizing its potential to provide cleaner and more flexible energy solutions compared to traditional nuclear power plants [2] - The SMR technology is seen as a significant shift in nuclear energy, moving from large infrastructure to deployable tech products, which could power data centers and remote areas [2] Group 2 - A partnership between Zhiyuan Robotics and MiniMax has been established to enhance voice interaction in robotics, focusing on personalized voice synthesis and user experience [4] - MiniMax will provide a tailored AI technology support for Zhiyuan Robotics, optimizing the interaction between users and robots through a custom persona system [4] Group 3 - Beijing's artificial intelligence core industry is projected to reach a scale of 450 billion yuan by 2025, with over 2,500 companies expected to be concentrated in the area, accounting for about half of the national total [5] - The city is home to nearly 60 publicly listed AI companies and around 40 unicorns, showcasing its dominance in the AI sector [5] - The article mentions the significant user engagement of Doubao, an AI application, which surpassed 172 million monthly active users, indicating a transformative impact on the industry [5] Group 4 - Boston Dynamics' Atlas robot has made significant advancements by performing real work tasks at a Hyundai factory, marking a transition from laboratory demonstrations to industrial applications [4]

Core Insights - Beijing is positioning itself as a global hub for artificial intelligence (AI) innovation, with a projected core industry scale of 4.5 trillion yuan by 2025, reflecting a year-on-year growth of 25.3% [3][5] - The city has over 2,500 AI companies and has registered 209 large models, accounting for nearly 30% of the national total [3][5] - The "Nine Major Actions" plan aims to enhance AI foundational theories and core technology capabilities significantly within two years, targeting the emergence of more original achievements and a competitive industry landscape [7][9] Industry Development - AI technology is deeply integrated into urban development in Beijing, transitioning from laboratory concepts to practical applications in various sectors such as healthcare, education, and transportation [4][9] - Major companies like Xiaomi and Altair are leveraging AI for industrial applications, enhancing efficiency and innovation in product design and quality control [2][4] - The city is home to nearly 60 listed AI companies and about 40 unicorns, showcasing its strong industrial cluster development [5][6] Talent and Ecosystem - Beijing boasts a significant talent pool, with 148 influential AI scholars and a total of 15,000 AI researchers, representing over 30% of the national total [4][5] - The city has established a robust ecosystem that includes two national laboratories, four new research institutions, and numerous educational programs in AI [4][5] - The favorable business environment and diverse application scenarios in Beijing provide a solid foundation for AI technology deployment and iteration [4][5] Future Directions - The focus on "scientific intelligence" aims to enhance AI's role in scientific discovery, with an emphasis on integrating AI with the physical world [9] - The goal is for embodied intelligence to serve as a partner to humans rather than a replacement, indicating a shift towards collaborative AI applications [9] - The city aims to surpass a core AI industry scale of 1 trillion yuan and establish a new form of intelligent economy within the next two years [9]

同时，《行动计划》支持通过新架构、新原理、新工艺，加快国产人工智能芯片性能追赶，推进智算集 群关键器件补链强链，发展超节点、光互联等，攻关超大规模单体智算集群核心技术。实施"众智行 动"，全方位提升众智FLAGOS性能，形成高度活跃的开源联盟和开源社区，加速进校园、进产业，形 成强大生态体系。 在数据聚能方面，《行动计划》提出，要面向大模型技术迭代和应用落地需求，强化具身智能数据集、 科学智能数据集和各行业高质量数据集供给。加快数据处理、合成、仿真、安全等关键技术攻关。建设 若干高端数据标注基地。培育头部数据服务商，创新数据服务新模式。 在全域应用方面，《行动计划》支持构建"领域+场景""流量+产品"的推进矩阵，推动"一委一业、一区 一品"协同发展，在医疗、制造、教育等领域建设一批国家人工智能应用中试基地。在软件3.0、智能 体、智能终端等领域打造一批重新定义行业的新技术新产品新服务，深度赋能打造生产新范式、生活新 方式、城市治理新模式。 1月5日，北京市发展和改革委员会主任杨秀玲在2026北京人工智能创新高地建设推进会上介绍，北京入 围AI 2000全球最具影响力学者榜单的有148人，占全国超40%；AI学 ...

Core Insights - Beijing is positioning itself as a global hub for artificial intelligence (AI), with a projected core industry scale of 450 billion yuan by 2025, reflecting a year-on-year growth of 25.3% [2][6] - The city has over 2,500 AI companies and has registered 209 large models, accounting for nearly 30% of the national total [2][3] - The "Nine Major Actions" plan was introduced to enhance AI innovation, focusing on technology, ecosystem, and application scenarios [2][6] Group 1: AI Integration and Applications - AI technologies are deeply integrated into various sectors, including healthcare, education, and transportation, with innovations like the Galaxy General G1 robot for smart medical retail and AI tools for creative industries [1][3] - Xiaomi's AI vision technology has significantly improved industrial efficiency, achieving detection rates that are dozens of times faster than manual inspections [1] - The introduction of AR smart glasses by Liangliang Vision aims to enhance communication and navigation for users with accessibility needs [1] Group 2: Talent and Ecosystem Advantages - Beijing boasts a strong talent pool, with 148 influential AI scholars and a total of 15,000 AI researchers, representing over 40% and 30% of the national figures, respectively [3][4] - The city has a favorable business environment and diverse application scenarios, which facilitate the implementation and iteration of AI technologies [4][5] - The presence of major AI companies and a robust industrial cluster underscores Beijing's competitive edge in the AI sector, with nearly 60 listed companies and around 40 unicorns [4][5] Group 3: Future Development Plans - The "Nine Major Actions" aim to significantly enhance AI foundational theories and core technologies within two years, targeting the emergence of more original achievements and leading global standards in scientific and embodied intelligence [6][7] - The goal is to establish a self-sufficient computing power system and create over 100 benchmark AI applications, alongside attracting 200 billion yuan in investment [6] - The vision includes a breakthrough in the AI core industry scale to over 1 trillion yuan, forming a new intelligent economic model [8]

Core Insights - The conference held on January 5, 2026, outlined Beijing's ambition to become the "first city of artificial intelligence" in China, with a projected AI core industry scale of 450 billion yuan by 2025 and over 2,500 AI companies [1][5] - Beijing aims to significantly enhance its original capabilities in AI foundational theories and core technologies within two years, with plans to establish a domestic computing power cluster and achieve a breakthrough in the AI core industry scale exceeding 1 trillion yuan [1][5] Talent Resources - Beijing has a significant talent pool, with 148 influential AI scholars listed in the AI 2000 global ranking, accounting for over 40% of the national total, and a total of 15,000 AI scholars, representing 30% of the country [3] - The city ranks second globally in AI innovation and hosts multiple national laboratories and research institutions, contributing to its status as a hub for AI innovation [3] Ecosystem and Infrastructure - The city has developed a comprehensive ecosystem that integrates computing power, data, and algorithms, with advancements in domestic computing chips and software ecosystems [4] - Major AI models and platforms have emerged, with 209 registered models and capabilities in reasoning and coding reaching global best standards [4] Industry Cluster Development - Beijing's AI core industry is expected to reach 450 billion yuan by 2025, with nearly 60 listed AI companies and around 40 unicorns, making it a leading center for AI innovation in China [5][6] - The city is implementing the "AI+" action plan to promote application landing and enhance industry cluster effects [5] Nine Major Actions - Beijing plans to implement nine major actions, including technology innovation, data quality enhancement, and application empowerment, to strengthen its AI ecosystem [7][8] - Specific actions include advancing foundational theories, enhancing computing power infrastructure, and fostering a vibrant open-source community [8][9] Innovation Districts - The first four innovation districts in Beijing are being established to enhance resource density and entrepreneurial activity, with a focus on differentiated development [12][13] - Each district has a unique focus, such as talent cultivation, quantum computing, cultural integration, and advanced algorithms, aimed at creating a comprehensive AI innovation landscape [13][15][16]

近期，证监会官网披露，上海思朗科技股份有限公司(简称"思朗科技")在上海证监局办理IPO辅导备案 登记，辅导机构为国泰海通证券。 资料显示，思朗科技成立于2016年，团队脱胎于中国科学院自动化研究所，致力于国产高性能算力芯片 的设计和应用，为科学智能(AI for Science)提供自主可控的算力基础设施和行业高质量科学数据集。公 司拥有万亿次代数运算微处理器MaPU(代数运算处理器)的完整自主知识产权。 公司创始人兼首席科学家王东琳为MaPU架构发明者，曾任中国科学院自动化所所长、国家专用集成电 路设计工程技术研究中心主任。 超算(中心)，是基于超级计算机或者大规模计算集群的数据中心，过往主要基于"CPU+GPU"芯片来提 供大规模计算、存储和网络服务等功能，主要应用于全球气候模拟、新药分子动力学、新材料研发等。 "'超算'对应的科学智能领域的核心在于实现AI与物理、化学、生物等科学研究领域的深度融合，让AI 不仅能够高效分析数据，更能自主发现规律，甚至独立开展科学探索，将人类从海量试错的传统科研模 式中解放出来。基于海量的计算要求，'超算'对于芯片性能的要求不亚于甚至高于'智算'。"思朗科技相 关负责人 ...

新华社上海1月2日电 题：把AI当"研发搭子"，未来产业蕴含广阔前景 新华社记者龚雯、王鹤 新年伊始，位于上海闵行区的天鹜科技有限公司里，一套学习了百亿条蛋白质数据、交付过30余个 产业化项目的蛋白质设计大模型，马不停蹄地为新项目"跑"着"最优解"。记者发现，人工智能驱动的科 学研究（AI4S）已成为一种新范式，加速基础研究驶向新质生产力。 "蛋白质是生命的物质基础，换言之，没有蛋白质就没有生命。"上海交通大学特聘教授、上海天鹜 科技有限公司首席科学家洪亮说，从生命语言的学习到生命行为的预测，AI4S改变的不仅是研发速 度，解决了依赖传统"专家经验和大量试错"路径下蛋白质设计时间长、成本高等核心问题。未来还可以 设计耐受多种极端工业条件的产品，把一些注射的大分子药物扩展到口服剂型，满足不同患者的健康需 求。 在他看来，如果没有AI这个"研发搭子"，想要做这些事非常困难，放在过去可能连想都不会去想。 据洪亮介绍，10年前合作团队开始收集蛋白质数据，只为做基础研究，想看看在高山、深海、盐湖 等极端环境下存活的微生物，与陆地平原上"近亲"的微生物有何不同。结果发现，如果沿用传统指标去 看，两者相差不大，但是放在大模 ...

Core Viewpoint - Moore Threads has launched its next-generation GPU architecture "Huagang" at the MUSA Developer Conference, showcasing significant advancements in computing power and energy efficiency [1][2]. Group 1: Product and Technology Developments - The "Huagang" architecture features a 50% increase in computing density and a 10-fold improvement in energy efficiency, supporting large-scale intelligent computing clusters of over 100,000 cards [1][2]. - Moore Threads has introduced a full-function GPU architecture and the "Kua'a" intelligent computing cluster, with plans to release high-performance AI training and inference chip "Huashan" and graphics rendering chip "Lushan" based on the new architecture [2]. - The company has also shared its MTT C256 super-node architecture for next-generation large-scale intelligent computing centers and launched the MTT AIBOOK, an AI-powered laptop with a self-developed SoC chip "Changjiang," available for pre-sale at a price of 9,999 yuan [2][3]. Group 2: Market Position and Financial Performance - Moore Threads is recognized as "China's version of NVIDIA" and has recently gone public, experiencing a significant stock price increase of over 400% on its first trading day, although it has since seen a decline to 664.1 yuan per share [4]. - For the first nine months of 2025, the company reported a revenue of 785 million yuan and a net loss of 724 million yuan, with projected losses for the full year ranging from 730 million to 1.168 billion yuan [6].