微软研究院、华盛顿大学与 Providence Genomics 组成的研究团队，提出了多模态人工智能框架GigaTIME。该框架依托先进的多模态学习技术，能够从常 规 H&E 切片生成虚拟的 mIF 图谱。研究团队将其应用于美国普罗维登斯医疗集团超过 14,000 名癌症患者的队列，涵盖 24 种癌症类型、306 个亚型，最 终生成了近 30 万张虚拟 mIF 图像，实现了对大规模多样化人群的肿瘤免疫微环境系统性建模。 在癌症的演进图景中，肿瘤免疫微环境不仅主导着癌细胞的生长、侵袭与转移，也深刻影响着治疗反应与患者的最终预后。这并非一场癌细胞的「独角 戏」，而是一个高度动态的生态系统——免疫细胞、成纤维细胞、内皮细胞等各类角色在此交织互动，共同嵌入结构与功能均已重塑的细胞外基质，形成 一张精密而复杂的病理网络。 解析这张网络的关键，在于读懂细胞的功能状态与相互作用，而特定蛋白的激活水平正是其中重要的「分子密码」。传统上，免疫组织化学（IHC）技术 以其直观显示蛋白定位的能力，成为破译密码的经典工具。例如，PD-L1 染色已被广泛用于识别免疫检查点状态，以预测免疫治疗疗效。然而，IHC 一次 仅能捕获一种蛋白 ...

Group 1 - Anthropic will absorb the increased electricity costs from data center operations and will pay for grid upgrades through monthly electricity surcharges [1] - The company plans to procure additional power and protect consumers from price hikes by launching new power generation projects to meet data center electricity demands [1] - Anthropic is investing in demand-side management systems to reduce energy consumption during peak periods and is introducing grid optimization tools to lower end-user electricity costs [1] Group 2 - The company is committed to creating hundreds of permanent jobs and thousands of construction jobs through its data center projects while addressing environmental impacts with water-saving cooling technologies [1] - Anthropic is working to mitigate the impact of its workload on electricity prices when leasing existing data center capacity [1] - The AI industry in the U.S. is projected to require at least 50 gigawatts of power capacity in the coming years, with individual AI model training soon needing gigawatt-level power [1] Group 3 - The U.S. must rapidly build data centers to maintain competitiveness in AI and national security, but AI companies should not pass costs onto American consumers [2] - A draft proposal from the Trump administration aims to ensure that energy-intensive data centers do not raise residential electricity prices or affect water supply and grid reliability, with costs for new infrastructure borne by demand-side companies [2] - Anthropic's latest funding round is expected to exceed $20 billion, with projected revenues reaching up to $18 billion by 2026 [2]

Core Insights - The article discusses the introduction of MeepleLM, a virtual playtester developed by a collaborative research team, which can simulate real player perspectives and provide constructive feedback based on dynamic gaming experiences. Group 1: MeepleLM Overview - MeepleLM is the first virtual playtester capable of simulating real player perspectives and offering constructive criticism based on dynamic game experiences [1][2] - The model utilizes a dataset of 1,727 structured board game rulebooks and 150,000 player reviews to create a mapping from objective rules to subjective experiences [1][5] - MeepleLM significantly outperforms general models like GPT-5.1 and Gemini3-Pro in accurately reflecting player reviews and rating distributions [1][11] Group 2: Design Challenges in Board Games - The board game industry is experiencing rapid growth, but the design process faces significant challenges due to its reliance on social interactions and emergent gameplay [2] - Traditional design processes are heavily dependent on manual playtesting, which is time-consuming and often fails to cover diverse player preferences [2] Group 3: Data and Methodology - The research team employed a stratified sampling strategy to select 1,727 representative games, converting unstructured PDF rulebooks into structured documents [5] - An automated processing workflow was designed to filter through 1.8 million comments, ultimately selecting about 8% that deeply relate game mechanics to dynamic experiences [6] Group 4: MDA Framework - MeepleLM incorporates the MDA (Mechanics-Dynamics-Aesthetics) framework to understand the causes of enjoyment in games, establishing a cognitive link from rules to player experiences [8] - The MDA framework allows the model to logically deduce experience outcomes rather than making random guesses [8] Group 5: Player Personas - The research identified five distinct player personas through clustering analysis, each with unique preferences and reactions to game mechanics [9] - MeepleLM can role-play these personas to provide feedback that reflects specific player preferences [9] Group 6: Performance Evaluation - Extensive testing was conducted on 207 games, including new releases for 2024-2025, to validate MeepleLM's effectiveness [11] - MeepleLM demonstrated superior performance in preference alignment, review quality, and utility compared to other models [12] Group 7: Insights and Practical Value - MeepleLM effectively identifies both strengths and critical flaws in games, providing a more nuanced understanding of player feedback compared to general models [13] - The model captures unique player voices and adapts its feedback style based on the persona being simulated, enhancing its authenticity [16] Group 8: New Paradigm for Interaction Systems - By linking static rules with dynamic experiences, MeepleLM establishes a new paradigm for automated virtual testing in interactive systems [19] - This approach facilitates design iteration based on expected market feedback and aids players in making personalized choices [19]

2月12日晚间，千里科技发布公告称，增设联席董事长一名，并提名赵明先生为公司第六届董事 会非独立董事候选人。根据公告信息，赵明曾任荣耀终端股份有限公司CEO，执掌荣耀品牌10 年。作为资深科技产业领袖，赵明拥有逾 25 年全球科技企业管理经验。结合多方消息猜测，赵 明加入千里科技后或将出任联席董事长。 千里科技是一家由传统汽车制造业转型而来的 AI 科技公司，目前由国内 AI 行业早期创业者 印奇出任董事长。在他的掌舵下，千里科技正在全力押注"AI+车"的核心赛道。加入千里科技 之后，赵明的核心任务或将是助其共同推动 AI 商业模式的闭环落地。 这一任命背后，折射出 AI 技术浪潮进入新阶段的深层逻辑：AI竞争已不局限于技术和愿景 的比拼，最终必须回归到产品与商业盈利。作为 AI 1 . 0 时代的创业者，印奇对此体会颇深。 随着以强悍商业落地能力著称的赵明加入，这家新晋的AI科技公司有望补上产品化与规模化 的关键"拼图"。印奇将更侧重于 AI 前沿技术的战略布局与研发方向，而赵明更擅长商业化战 略，重点是将 AI 能力转化为可持续的商业增长。 自2 0 2 5年1月离任荣耀 CEO 后，赵明的去向一度引发市 ...

Group 1 - The core viewpoint of the article is that Xiaomi's robotics team has officially entered the open-source phase with the release of the embodied intelligence VLA model "Xiaomi-Robotics-0" [1] - The showcased robot can smoothly perform physical tasks such as folding towels and disassembling blocks, demonstrating continuous motion and responsive actions [2] - Xiaomi's technical homepage, GitHub open-source code, and Hugging Face model weights have all been made publicly available, indicating the company's long-term commitment to the robotics sector and its intention to promote open-source technology and transparency in results [3]

(本文来自第一财经) 深圳市工业和信息化局近日印发《深圳市"人工智能+"先进制造业行动计划（2026—2027年）》，其中 提出，人工智能赋能机器人。支持世界模型、视觉-触觉-语言-动作（VTLA）等多模态交互技术研发， 构建具备交互、预测与决策功能的具身智能基座大模型及其训练、推理技术体系，培育长序列推理与自 主学习能力，支撑跨场景任务高效处理。强化场景资源统筹，支持建设具身智能技术试验场，开放工业 制造领域焊接、装配、喷涂、搬运等细分场景并实现落地应用，提升危险、恶劣环境下智能作业水平， 推动机器人进工厂、进车间、进仓库、进港口、进园区。 ...

Core Viewpoint - Shenzhen's Industrial and Information Technology Bureau has issued the "Shenzhen 'Artificial Intelligence +' Advanced Manufacturing Action Plan (2026-2027)", focusing on accelerating innovation and transformation in drug research and development, cell and gene therapy, and precision medical services [1] Group 1: Action Plan Objectives - The plan aims to promote technological innovation in key areas such as drug target discovery and validation, drug design, high-throughput drug screening, DNA-encoded compound library screening, computer-aided drug design, virtual screening, and gene locus screening related to drug therapy [1] - It supports the establishment of major platforms for AI-driven drug research and development, enhancing the integration of technological resources [1] Group 2: AI and Biotechnology Integration - The initiative emphasizes the deep integration of artificial intelligence and biotechnology (AI+BT) to accelerate advancements in the sector [1]

Core Insights - Seedance 2.0 is a revolutionary video generation model that has garnered significant attention, with claims that it could disrupt Hollywood and the animation industry [1][2] - The rapid user adoption of Seedance 2.0 has led to long wait times for video generation on platforms like Dream AI and Xiaoyunque, indicating high demand [2] - The surge in interest around AI video models has translated into substantial movements in the capital markets, particularly in the A-share and Hong Kong markets, with companies like Zhizhu AI seeing their stock prices double [2] Industry Impact - The emergence of Seedance 2.0 is part of a broader trend in AI applications, with multiple companies launching new models in early 2026, suggesting a competitive landscape [3] - The AI video generation sector is expected to continue evolving, with industry experts predicting 2026 to be a pivotal year for AI applications across various media formats [4] Market Dynamics - The A-share market experienced a notable increase, with major indices showing gains, reflecting a positive sentiment towards AI-related stocks [5][6] - The market is witnessing a shift towards valuing AI applications, as evidenced by price increases in AI programming subscription packages and cloud computing services [12] - The demand for computational power is rising, leading to a potential price increase cycle in cloud computing and data center services [12] Technological Advancements - AI hardware sectors, including liquid cooling servers and high-speed connections, are performing well, indicating strong institutional interest in technology stocks [12] - Companies like Nvidia are reporting significant growth in orders, highlighting the increasing demand for AI hardware solutions [12]

深圳市工业和信息化局近日印发《深圳市"人工智能+"先进制造业行动计划（2026—2027年）》，其中 提出，人工智能赋能机器人方面，支持世界模型、视觉-触觉-语言-动作（VTLA）等多模态交互技术研 发，构建具备交互、预测与决策功能的具身智能基座大模型及其训练、推理技术体系，培育长序列推理 与自主学习能力，支撑跨场景任务高效处理。强化场景资源统筹，支持建设具身智能技术试验场，开放 工业制造领域焊接、装配、喷涂、搬运等细分场景并实现落地应用，提升危险、恶劣环境下智能作业水 平，推动机器人进工厂、进车间、进仓库、进港口、进园区。 ...

Core Insights - The 2026 Shenzhen Two Sessions highlighted that the added value of strategic emerging industries in Shenzhen reached 1.67 trillion yuan, accounting for 43.0% of GDP [1] - The Qianhai area, known for its modern service industry, is leveraging its advantages in innovation, manufacturing, and services to excel in future industries [1] Group 1: Industry Performance - The software and information service industry cluster in Qianhai is projected to achieve over 200 billion yuan in revenue by 2025, with seven industry clusters including digital creativity and artificial intelligence each surpassing 50 billion yuan in revenue [1][3] - In 2025, the revenue of the software and information service sector in Qianhai is expected to reach 255.5 billion yuan, marking a year-on-year growth of 19.6% [3] - The digital creativity industry experienced a 32.7% year-on-year growth, achieving revenue of 96.7 billion yuan, supported by the establishment of the Qianhai Digital Cultural Park and various service platforms [3][4] Group 2: Infrastructure and Development - Qianhai has established the Shenzhen International Data Industry Park, which has attracted over 4,000 data enterprises and set up a 500 million yuan special fund for the data industry [3] - The region is home to the first provincial-level low-altitude manufacturing innovation center in China, gathering over 200 upstream and downstream enterprises to create a comprehensive industry chain [4] - The establishment of the Shenzhen International Ship Registration Service Center has led to 80 ship leasing projects with an asset scale exceeding 20 billion yuan, positioning Qianhai as a leader in the marine economy in South China [4] Group 3: Future Plans - In 2026, Qianhai aims to focus on industrial upgrades to build a modern industrial system with international competitiveness, including the establishment of an application scenario innovation center in the Guangdong-Hong Kong-Macao Greater Bay Area [5] - The region plans to innovate key industries and develop a comprehensive work system for cell and gene technology, alongside enhancing the "Shenzhen Outbound E-Station" to facilitate safe and effective international business operations [5]