AI掀起的新一轮智能化浪潮席卷全球，大众所熟悉的场景，是使用Agent协助完成工作任务，乘坐智能驾驶车辆出行，亦或观看机器人表演，静水流深的另 一面，是AI参与和驱动学术、科研，动力路径日益明晰。 12月23日，人才辈出的百年学府上海交通大学有位"特别成员"正式亮相——由上海交大联合华为，共同打造的"致远一号"智算平台，这标志着交大向"AI for Science"科研范式迈出了坚实一步。 其定位全国高校最大的国产智算算力基础设施，自2024年12月启动，用时不到一年，完成了千卡昇腾集群本地部署和云上千卡规模化应用，峰值算力633 PFLOPS、存储容量13P，令千亿参数级的大模型校内训练，落地成为现实。 它为师生提供的，是开箱即用的AI应用服务，为科研训练、教学实训与课程实验，提供了坚实的算力底座。 顺应第五范式的进化 致远一号的出现，恰逢其时。 在全球范围内，AI4Science即"人工智能驱动的科学研究"，正迅速占领高地，成为继经验科学、理论科学、计算科学和数据科学之后，现代科学活动的"第 五范式"。 有两点洞察，值得注意： 其一，越来越多科研人士、学术人士，积极拥抱AI、高效使用AI。 以算促学， 上 ...

Core Insights - The emergence of generative AI marks a shift from digital technology as merely a "connecting tool" to a core component in judgment, decision-making, and action within organizations [3] - Companies now face the critical question of how to effectively integrate AI to create real value rather than merely adopting it as a trend [3][12] Group 1: Industry Transformation - Digital transformation has historically focused on "connection," with a race to establish networks and data integration across various sectors [2] - The introduction of AI challenges traditional notions of efficiency, emphasizing the need for stability, risk control, and long-term certainty in complex systems [5][13] - AI's true value is becoming evident in industries with low penetration and minimal tolerance for error, such as manufacturing and agriculture [6][10] Group 2: AI in Manufacturing - In manufacturing, the example of Jianghuai Zunji Super Factory illustrates how AI can manage increasing complexity and maintain quality standards through digital twin technology and flexible production [8][9] - AI acts as a stabilizer in manufacturing systems, helping to ensure consistent decision-making amidst rising complexity [9] Group 3: AI in Agriculture - In agriculture, COFCO's smart farming initiatives address systemic risks by transforming traditional practices into a continuously monitored and predictable system [10][12] - AI enables proactive risk management, shifting from reactive to preventive measures in large-scale farming operations [12] Group 4: Challenges in AI Integration - The integration of AI into industries is not merely about technological advancement but requires clear pathways for implementation [15][23] - High-complexity sectors like healthcare and education face unique challenges that necessitate tailored approaches rather than generic solutions [16][21] Group 5: Pathways to Successful AI Deployment - Huawei's ACT framework emphasizes assessing high-value scenarios, calibrating industry data, and deploying AI at scale, positioning AI as a structural variable rather than an add-on [24][25] - This cautious approach is essential in complex industries to ensure that AI is effectively embedded within existing industry logic [25] Group 6: Infrastructure and Ecosystem Development - The acceleration of industry digitalization is linked to advancements in foundational technologies such as wireless communication and data networks [27][28] - Huawei's focus on enhancing computing, networking, and storage capabilities aims to create a robust infrastructure that supports widespread AI adoption [29][30] Group 7: Bridging the Gap for SMEs - Huawei's solutions for small and medium enterprises (SMEs) aim to lower the barriers to AI adoption by providing pre-integrated, validated solutions that reduce the complexity and cost of implementation [30][31] - This approach transforms AI from a high-barrier investment into a replicable and affordable capability for various industries [31][32] Group 8: Long-term Vision for AI Integration - The transition to AI as a foundational capability requires a continuous and methodical approach, emphasizing the importance of replicable certainty in an uncertain environment [32][33] - Huawei's role in facilitating this transition reflects a broader responsibility to guide industries through the complexities of AI integration [33]

Core Viewpoint - The event commemorating the 100th anniversary of the establishment of the Communist Party branch at Shanghai Jiao Tong University emphasizes the importance of the Party's leadership in the university's development and the launch of the "Red Culture Inheritance and Promotion Project" to deepen the understanding and transmission of the university's rich red cultural resources [1][2]. Group 1 - The "Red Culture Inheritance and Promotion Project" will utilize documentary filming, thematic exhibitions, book publishing, and the activation of school history to integrate red culture into the educational process, guiding students to strengthen their ideals and patriotism [1]. - The event included donations to support educational initiatives, such as the establishment of the "Lu Dingyi Education Fund" by Lu Ruijun, the daughter of the first secretary of the university's Communist Party branch, and the donation of work notes by Li Xiaosu, daughter of the first Party Secretary Li Peinan [1]. - The descendants of Zhang Yonghe, the first student Communist Party member and Party branch secretary, donated correspondence between Zhang and Lu Dingyi, highlighting the historical significance of these figures [1]. Group 2 - Shanghai Jiao Tong University signed a cooperation agreement with several important red cultural sites in Shanghai, aiming to promote the integration and innovative transformation of educational resources [2]. - The university hosted a special exhibition titled "Wenxin Zhengrong - Special Exhibition of Red Newspapers and Literature," showcasing publications from 1919 to 1949, many of which are being publicly displayed for the first time [2].

Group 1 - The event commemorating the 100th anniversary of the establishment of the Communist Party branch at Shanghai Jiao Tong University was held, with the launch of the "Red Culture Inheritance and Promotion Project" [1] - The project will utilize various methods such as documentary filming, thematic exhibitions, book publishing, and revitalization of school history to explore and inherit the university's rich red cultural resources [1] - A donation ceremony for the "Centenary Party History Project" was held, where significant historical documents were donated, including work notes from the first party secretary and correspondence between notable figures [1] Group 2 - Shanghai Jiao Tong University signed a cooperation agreement with several important red cultural sites in Shanghai to promote deep integration and innovative transformation of educational resources [2]

Core Insights - Shanghai is developing a "scientist + technology manager + patient capital" triangle model to enhance technology transfer and commercialization of research outcomes [1][15] - The contribution of universities to national basic research growth exceeds 50%, with a significant increase in technology transfer contracts [1] - The reform in technology transfer mechanisms in Shanghai has led to a substantial increase in contract amounts and the establishment of a new rights structure [2][11] Technology Transfer Growth - In 2024, the total contract amount for technology transfer from Shanghai's universities and research institutions is expected to reach 365.93 billion yuan, a 6.7-fold increase since 2014 [1] - The total contract amount for technology transfer in 2025 (January to November) is projected to be 576.40 billion yuan, a 132.6% increase compared to the same period in the previous year [1] - The national technology transfer contract amount from universities and research institutions is projected to reach 226.91 billion yuan in 2024, with a year-on-year growth of approximately 10% [1] Reform Mechanisms - The core of the reform in Shanghai's technology transfer is the separation of ownership and usage rights, allowing universities to transfer rights to research teams [2][4] - Shanghai Jiao Tong University has implemented a "1+5+20" policy framework to support technology transfer, granting 70% ownership of patents to research teams and 30% to faculty [5] - The "complete empowerment" model has been adopted, allowing researchers to retain 100% ownership of their inventions when forming companies [11][14] Case Studies - Shanghai Jiao Tong University has seen significant success, with over 200 faculty-led startups and a total financing amount exceeding 190 billion yuan, with a market valuation of over 1,200 billion yuan [10] - East China Normal University reported a nearly 70-fold increase in technology transfer contract amounts in 2024, reaching 4.76 billion yuan, and a total of 14.9 billion yuan by December 2025 [11][12] - The establishment of a robust support system for faculty entrepreneurship has led to successful commercialization of research outcomes, creating a positive feedback loop between research and application [13][14] Future Directions - The Shanghai government is focusing on deepening the reform of the ownership system for job-related scientific achievements and improving the management of technology transfer assets [15] - The ongoing reforms aim to create a conducive environment for technology transfer, ensuring transparency and compliance in the commercialization process [14][15]

论坛通过"线上线下结合、主论坛与多学科分论坛并行"的方式，集中展示上海交大的科研平台、人才制 度与发展环境。记者获悉，得益于"不看帽子看里子，不唯文章唯实力"的鲜明导向与"校长直通车"引才 通道的搭建，上海交大成功引进包括拉斯克医学奖获得者在内的一批顶尖人才；设立"优秀青年教师破 格晋升"机制，为青年人才特设的"打擂台"机会，至今年已有140位青年才俊脱颖而出、破格晋升，最年 轻的仅33岁…… 具体而言，特别是针对青年人才，上海交大推行柔性引才机制，对海外人才"不强制短期全职入职"，最 大限度减轻人才顾虑，打造全链条精准引才范式，引进一批研究真问题、真解决问题的优秀人才。同 时，上海交大构建"引育并举"的人才金字塔体系，实施人才分梯队培育计划。通过"启航培育计划"，助 力青年学者快速融入与成长，确保每位学者都能找到适合自身的发展路径。 本报记者 易蓉 "交大这所百年学府，比以往任何时候都更加渴求优秀人才，也比以往任何时候都更有条件成就人 才。"近日，上海交通大学"致远"国际青年学者论坛开幕，校长、中国科学院院士丁奎岭率先发出"共迎 百卅交大，携手共创未来"的求贤邀请。 ...

Core Insights - Generative artificial intelligence is advancing towards complex real-world applications, with increasing demands for computational power and energy consumption [1] - Shanghai Jiao Tong University has achieved a significant breakthrough in optical computing with the development of the LightGen chip, which supports large-scale semantic visual generative models [1][2] Group 1: Technological Advancements - LightGen integrates over one million optical neurons on a single chip, enabling breakthroughs in optical dimension conversion and a novel light-based generative model training algorithm [2] - The chip allows for a complete closed-loop process of "input-understanding-semantic manipulation-generation," enabling the system to extract and represent semantic information from input images [2] Group 2: Performance and Applications - LightGen can perform high-resolution image semantic generation, 3D generation, high-definition video generation, and semantic control, while also supporting denoising and feature transfer for large-scale generative tasks [2] - Industry experts believe that LightGen opens new pathways for next-generation computing chips to support advanced artificial intelligence and provides a new research direction for faster and more energy-efficient generative intelligent computing [2]

Core Viewpoint - The article discusses the significant advancements in optical computing technology, specifically the LightGen chip developed by Shanghai Jiao Tong University, which addresses the growing demand for computational power and energy efficiency in large-scale generative AI models [5][12]. Group 1: Breakthroughs in Optical Computing - The LightGen chip represents a major breakthrough in the field of optical computing, enabling the support of large-scale semantic visual generation models [5]. - It integrates over a million optical neurons on a single chip and employs all-optical dimension conversion, which are recognized as key bottlenecks in the industry [9]. - The chip achieves a closed-loop process of "input-understanding-semantic manipulation-generation," allowing it to "understand" and "cognize" semantics [9]. Group 2: Performance Evaluation - LightGen chip demonstrates a significant performance leap, achieving two orders of magnitude improvement in computational power and energy efficiency compared to leading digital chips, even with less advanced input devices [11]. - Theoretical calculations suggest that with cutting-edge input devices, the chip could achieve a seven-fold increase in computational power and an eight-fold increase in energy efficiency [11]. Group 3: Implications for AI Development - The advancements in LightGen are crucial for the practical application of next-generation computing chips in modern AI, particularly for high-latency and energy-intensive tasks like large-scale generative models [12]. - This development opens new pathways for exploring faster and more energy-efficient generative intelligent computing [12].

上海交大的6支科学家团队来到现场，为初中生带来了极具启发性的科研课题全景展示。车生泉教 授团队带来了"城市生物多样性保护"新视野，邀请学生以城市为实验室，探索如何为野生动植物留出一 片栖息之地；周培教授团队聚焦可持续农业与生境安全，依托巨大芽孢杆菌和"鱼菜共生"系统，指导学 生探究农业生态循环；殷杉教授团队以城市生态与人居环境为切入点，引导学生关注身边的空气、水与 城市森林，探索城市生态系统的服务功能；戴家银教授团队解析了污染物研究与环境健康，告诉学生可 利用前沿技术识别新型污染物；梁婉琪教授团队解读"生命与遗传密码"课题，普及了在分子层面解码水 稻发育关键基因的知识；张晨虹教授团队展示了"生物工程与应用初探"课题，启发学生寻找守护健康的 肠道核心菌群。科学家们化繁为简的讲述，引发现场学生的热烈互动。 活动现场还举行了"双向聘任"仪式。钟倩为上海交大科学家代表颁发"青少年科创导师"聘书，为上 海自然博物馆引入前沿学术指引；上海交通大学科学技术发展研究院副院长陆琪为6位上海自然博物馆 科学老师颁发"馆内导师"聘书，请他们负责基础培训与科普转化。这一举措以"学术引领+实践支撑"双 导师联合培养机制，为青少年科创萌 ...

【深圳商报讯】(驻穗记者张莹)近日，在2025高校科技成果交易会上，高校区域技术转移转化中心(粤港 澳大湾区)正式揭牌成立。 现场，生物医药区域技术转移转化中心(粤港澳大湾区广州)、陆空一体化智能出行区域技术转移转化中 心(粤港澳大湾区广州)、高端科学仪器区域技术转移转化中心(粤港澳大湾区广州)、高端科学仪器区域 技术转移转化中心(粤港澳大湾区深圳)分别接受授牌。华南理工大学与深圳市政府签约共建高端科学仪 器分中心。 据介绍，高校区域技术转移转化中心(粤港澳大湾区)于今年4月获教育部批复设立。广州和深圳在产业 相对集中的区域安排合计超过80万平方米的载体空间，首批已安排载体空间40万平方米。 该中心与超50所高校签署共建协议，包括复旦大学、南京大学、南开大学、上海交通大学、中山大学、 香港理工大学、香港科技大学(广州)等。目前已对接入库高质量科技成果1500多项，初步接洽了260多 个团队和项目，首批27项高水平项目入驻开展转化。 记者获悉，生命科学开放联盟今年在香港成立，由内地与港澳15家高水平高校和科研机构共同发起，为 生命科学领域的技术发展、人才领域、产业创新和国际合作拓展新空间，预计2026年完成基本 ...