图1 会议现场图片 在此次会议中刘沛霖汇报了论文"Research on the Resilience and Security in Chinese Robot Industry: Comparative Analysis of Provincial - level Disparities"。论文基于中国机器人产业链上市公司及企业所在省市的相关数据，从企业及企业集群韧性、供应 链网络韧性、产业基础建设韧性、产业动态发展韧性四个维度构建中国机器人产业链韧性评价指标体系。在此基础上，运用模糊综合评价法测度各一级指 标对机器人产业链韧性的重要性，采用熵权 VIKOR 法对各省市机器人产业链韧性水平进行比较分析与排序。研究发现：供应链网络韧性对机器人产业链 韧性影响权重最大；各省市机器人产业链韧性水平按标准差分类法可划分为四个等级。针对各省市机器人产业链在不同维度韧性指标上的表现，本文分析 了区域产业链韧性的优劣特征并提出相应建议。 图2 颁奖现场图片 心得体会 为充分激发研究生学术热情，进一步完善科教融合育人机制，扩大学校的学科影响力，学校实施中央财经大学研究生学术交流奖励计划，鼓励在校研究生 积极参加国内外学术 ...

Group 1: Cultural Industry Growth - During the "14th Five-Year Plan" period, China's cultural industry has seen the emergence of new business formats and models, with cultural consumption accelerating and achieving a revenue of 19.14 trillion yuan in 2024, a 37.7% increase from 2020, becoming a significant growth engine [1] - The "15th Five-Year Plan" emphasizes the need to stimulate cultural innovation and development, proposing to improve the cultural industry and market systems, cultivate excellent cultural enterprises and brands, and implement major cultural projects [1][2] Group 2: Integration of Culture and Economy - The development of cultural economy is essential for achieving high-quality development, which is a primary task in building a modern socialist country [3] - The integration of culture and economy is characterized by strong growth, new business models, high enterprise concentration, and significant development potential, which can enhance economic development and improve people's quality of life [3][4] Group 3: Cultural and Technological Synergy - The integration of culture and technology is crucial for advancing cultural development and innovation, with a focus on core technology research and the cultivation of high-level cultural technology enterprises [8] - The "15th Five-Year Plan" aims to leverage technology to enhance cultural industries, promoting the development of competitive cultural technology industry clusters [8] Group 4: Urban Cultural Development - Urban culture is fundamental to modernizing cities, serving as a key driver for economic governance, innovation, and talent aggregation [9] - The "15th Five-Year Plan" highlights the importance of balancing urban cultural development with economic growth, utilizing cultural resources to drive new economic dynamics and enhance urban development [9]

本报讯(记者聂伟)记者从江苏省委网信办获悉，截至2025年12月2日，我省又新增了新华大模型等9款已 完成备案的生成式人工智能服务。 生成式人工智能服务是指利用生成式AI技术向公众提供生成文本、图片、音频、视频等内容的服务。 我国2023年7月正式出台《生成式人工智能服务管理暂行办法》，明确了对生成式AI大模型研发及服务 的合规要求。此次完成备案的新华大模型生成式人工智能服务备案号为：Jiangsu-XinHua- 202510310055，由江苏新华报业传媒集团有限公司自主研发，是一款面向理论学习领域的垂直型人工智 能产品，其用户群体聚焦党政机关、国有企业及传媒单位，适用场景覆盖思想学习、主题教育等各类理 论学习活动。新华大模型基于国产通用模型微调开发，可提供五大核心服务：一是理论学习领域智能问 答服务，为用户实时解答学习过程中的疑问；二是文献解读与分析服务，助力用户快速把握文献核心要 义；三是知识检索与推荐服务，精准匹配用户所需学习资源；四是辅助学习与创作服务，为学习材料撰 写等提供支持；五是个性化学习方案定制服务，根据用户需求定制专属学习路径。 新华大模型通过"苏大强.爱学习"智能体等技术产品对外提供服 ...

Core Viewpoint - Li Auto has launched the Livis AI glasses, marking its entry into the smart wearable device sector, with a price range of 1999 to 2559 yuan, and a promotional starting price of 1699 yuan, aiming to extend in-car intelligence to the outside world [1] Group 1: Product Features - The Livis AI glasses are equipped with Zeiss lenses and come in various types, including prescription, photochromic, and sunglasses [1] - The glasses enable remote vehicle control, such as opening electric sliding doors and pre-conditioning the car's interior, enhancing user experience while driving [2][3] - Livis features a 12-megapixel camera with ultra-wide-angle capabilities, electronic stabilization, and automatic horizon correction, allowing for photo and video recording, as well as voice interaction [3][4] Group 2: Market Context - The AI glasses market is becoming increasingly competitive, with major tech companies like Xiaomi, Baidu, and Alibaba launching their own AI glasses this year, indicating a potential new consumer electronics category [1][5] - The AI glasses are seen as an evolution of traditional eyewear, integrating functionalities such as audio, photography, and wireless communication, alongside AI capabilities like voice assistance and real-time translation [5] - Analysts predict that the AI glasses market is still in its early stages, with a penetration rate of less than 1% in traditional eyewear by 2024, but expect significant growth, with an estimated shipment of 8.83 million units by 2025, representing a year-on-year increase of 225.6% [9]

Core Insights - London Stock Exchange Group (LSEG) announced the integration of its financial data and analytics into ChatGPT, aiming to deepen its embedding of artificial intelligence in the financial market [1][2] - Starting from the week of December 8, LSEG will gradually roll out features allowing certified ChatGPT users to access market data and news content from products like "Workspace" and "Financial Analytics" within the ChatGPT application [1][2] - Financial service institutions are increasingly adopting generative AI tools that can quickly analyze vast amounts of market information, providing traders and analysts with more immediate insights [1][2] - This collaboration is an extension of LSEG's strategy to distribute its licensed data more broadly through AI platforms [1][2] - LSEG's "AI-adaptive content" can be accessed via the Model Context Protocol connector, a universal adaptation tool for AI models that enables seamless interaction with various tools and data [1][2]

Core Insights - The rapid development of the cross-border e-commerce industry has made visual content a key factor in attracting consumers and enhancing conversion rates [1] - AI-generated video technology effectively addresses the content production challenges faced by cross-border merchants in multi-market and multi-language environments [1] - The technology has been widely adopted on platforms like Amazon, eBay, and TikTok Shop, becoming an important tool for improving overseas marketing effectiveness [1] Group 1: AI Video Generation Technology - The core of AI-generated video technology lies in combining generative artificial intelligence with computer vision to dynamically reconstruct static images [1] - Deep learning algorithms enable the automatic generation of product displays, model demonstrations, and usage scenario videos, supporting multi-language subtitles and localized elements [1] - This technology significantly reduces production costs and allows for rapid content iteration across cultural markets [1] Group 2: Key Tools in the Market - Keevx focuses on providing efficient video generation solutions for cross-border e-commerce, quickly generating virtual model display videos suitable for product detail pages, platform ads, and social media marketing [1] - Runway Gen-2 is recognized for its strong video generation capabilities and multi-scene adaptability, supporting high-quality short video creation from static images [3] - Pika Labs stands out for its user-friendly technology, generating smooth product demonstration videos while allowing customization of backgrounds, text, and voice overlays [5] Group 3: Impact and Future Outlook - AI-generated video technology significantly enhances the production efficiency and quality of visual content in cross-border e-commerce [7] - Merchants can choose suitable tools based on their product characteristics, target markets, and resource investments for scalable video content generation [7] - Ongoing technological advancements are expected to further lower the barriers to cross-border marketing and drive the visual content upgrade in the global e-commerce market [7]

Core Viewpoint - Marvell Technology announced the acquisition of semiconductor startup Celestial AI for $3.25 billion, expressing optimism for the next fiscal year's performance [1][10]. Financial Performance - Following the quarterly earnings report, Marvell's stock rose nearly 10% in pre-market trading [2][11]. - The company expects total revenue of approximately $10 billion for the next fiscal year, with a 25% growth in data center business revenue [2][11]. - Marvell's revenue for the third quarter reached $2.07 billion, a year-over-year increase of 36.8%, aligning with analyst expectations [8][17]. Acquisition Details - The acquisition will provide Marvell with photonics technology, which uses light instead of electrical signals to connect AI chips and storage chips [3][12]. - The deal includes $1 billion in cash and 27.2 million shares of Marvell common stock, valued at $2.25 billion [4][13]. - Celestial AI is expected to contribute significant revenue starting in the second half of fiscal year 2028, with projected annualized revenue of $500 million in Q4 2028 and $1 billion in Q4 2029 [4][13]. Market Position and Strategy - Marvell is positioned to become a leader in the photonics field, with large cloud companies expected to deploy photonics technology for large-scale applications by 2027 or 2028 [4][13]. - The company is collaborating with Amazon and Microsoft to develop proprietary AI chips [3][12]. Related Agreements - Marvell issued a stock warrant to Amazon, allowing the company to purchase up to $90 million worth of Marvell stock based on its procurement of photonic fabric products by the end of 2030 [6][15]. - The exercise price for the stock warrant is approximately $87 per share [7][16]. Future Outlook - The acquisition is expected to close in the first quarter of the 2026 calendar year [5][14].

Core Insights - The holiday shopping season in the U.S. has shown that generative AI, exemplified by ChatGPT, is becoming a new engine driving e-commerce traffic, with a year-on-year increase in recommendation volume of 28% [2][3] - However, this emerging benefit is highly concentrated, with Amazon and Walmart together capturing nearly 70% of the traffic, further solidifying their market dominance, while small and medium retailers have not broadly benefited [2][3][6] Group 1: AI Impact on E-commerce - The use of AI chatbots for shopping inspiration is on the rise, as evidenced by a 28% increase in recommendation volume from ChatGPT during the holiday shopping season [3][6] - Amazon's share of ChatGPT recommendation traffic surged from 40.5% last year to 54% this year, while Walmart's share increased from 2.7% to 14.9%, indicating a significant shift towards these major players [3][6] - Data from Adobe shows that AI-driven traffic to retail websites on Black Friday increased by 805%, highlighting the growing influence of AI in the retail sector [4][7] Group 2: Conversion Rates and User Behavior - Users entering retail websites through AI chatbots exhibit a 38% higher likelihood of completing a purchase compared to regular users, indicating the high commercial value of AI-driven traffic [7] - Despite the notable growth in AI recommendation traffic, its overall market share remains small, with ChatGPT's recommendation conversations only accounting for 0.82% of total conversations during Black Friday, up from 0.64% last year [9]

Group 1 - The core viewpoint of the article highlights the increasing application of artificial intelligence (AI) in the bidding process by the National Development and Reform Commission (NDRC) to address long-standing issues in the industry, such as complaints regarding bidding results [2][3] - The NDRC has initiated the use of AI in three key stages of the bidding process: tendering, bidding, and evaluation, aiming to enhance transparency and compliance [2] - AI technology has been employed to identify hidden issues such as collusion and abnormal bidding behaviors, with over 3,000 problem clues discovered in 21,000 projects that traditional regulatory methods failed to detect, thereby improving regulatory efficiency [3] Group 2 - The rapid integration of AI into various business sectors in China is underscored by a report indicating that Chinese respondents rank first in the Asia-Pacific region for the depth of AI application across business functions [4] - By June 2025, the user base for generative AI in China is projected to reach 515 million, with a half-year growth rate exceeding 106% and a penetration rate of 36.5%, indicating widespread adoption of domestic AI models [4] - The proliferation of generative AI is significantly lowering application barriers and providing reliable technological options for various industries, thus accelerating the process of industrial intelligence upgrades [4]

Core Insights - The emergence of generative AI, exemplified by ChatGPT, is significantly altering consumer shopping habits during the U.S. holiday shopping season, but the benefits are primarily accruing to major e-commerce players like Amazon and Walmart [1][2] Group 1: AI Impact on Retail - ChatGPT-driven recommendations for retail apps saw a year-over-year increase of 28% during the Black Friday shopping weekend, indicating a growing consumer interest in using AI chatbots for shopping inspiration and deals [1][2] - Amazon's share of ChatGPT recommendation traffic surged from 40.5% last year to 54% this year, while Walmart's share increased from 2.7% to 14.9%, collectively capturing nearly 70% of the traffic [1][2] Group 2: Broader AI Shopping Trends - Adobe reported an astonishing 805% year-over-year increase in AI-driven traffic to U.S. retail websites on Black Friday, with a 670% increase on Cyber Monday, and a 760% increase throughout the holiday shopping season from November 1 to December 1 [3] - Users entering retail websites via AI chatbots exhibit a 38% higher likelihood of completing purchases compared to regular users, highlighting the substantial commercial value of AI-driven traffic [3] Group 3: Current Scale of AI Recommendations - Despite the notable growth in AI chatbot usage for shopping recommendations, its overall market share remains small, with ChatGPT's recommendation session volume only increasing from 0.64% to 0.82% of total sessions during Black Friday [4] - The definition of "recommendation sessions" includes instances where users opened a retailer's mobile app within 30 seconds of interacting with ChatGPT, based on consumer behavior observations in the U.S. [4]