Group 1 - The 2025 Nanjing Software Conference showcased multiple innovative achievements in the industrial software sector, injecting new momentum into the industry [1][2] - The AGIROS 25.06 community release marks a significant milestone for the AGIROS open-source community, which aims to become a global innovation platform for intelligent robot developers and users [1] - The AGIROS open-source community has gathered over 100 participating organizations, focusing on building a comprehensive ecosystem for industrial software development [1] Group 2 - The "Yuanjing" initiative was launched at the conference to collect application scenarios for industrial software, emphasizing the importance of pilot verification for usability, reliability, and safety [2] - The conference highlighted the latest achievements in Nanjing's industrial software development, including the establishment of various collaborative projects and strategic agreements [2] - Several software industry projects were officially signed during the conference, showcasing Nanjing's commitment to advancing industrial software innovation [2]

◎邱思雨记者仲茜 "把软件和信息服务业打造成为南京首个万亿级产业集群，既承载着南京市85万软件人的梦想，更是南 京产业强市的一次全新出发。"6月17日，在2025南京软件大会开幕式上，南京市市长陈之常致辞表示， 软件和信息技术服务产业是南京最具优势、最有基础做大做强的主导产业。南京已吹响软件产业"迈向 万亿级"的冲锋号，通过加快关键技术攻关、全面拥抱人工智能大模型、前瞻布局软件新智赛道，持续 打响"工业软件看南京"品牌，用创新实践标注软件产业的南京高度。 上海证券报记者了解到，今年南京连续第四年举办软件大会，大会以"工业软件赋智，开源创新赋能"为 主题，旨在为软件企业和人才搭建交流合作平台，为培育软件新质生产力、建设"万亿级"软件名城提供 有力支撑。 智改数转网联，催生工业软件加速升级 从交通信号灯到手机App，从智能化流水生产线到数字孪生工业设计，从通信工程到网络空间安全…… 在现代人的生产生活中，软件无处不在，各显神通。而随着新一代数字技术的快速迭代，软件更成为数 字经济发展的"工业基础"，是制造强国、网络强国、数字中国建设的关键支撑。加之"智改数转网联"的 时代浪潮，软件业转型升级、赋能新型工业化的需求 ...

Group 1 - The core viewpoint of the articles emphasizes the rapid development of the software and information services industry in Shanghai and Nanjing, with both cities aiming to enhance their competitive edge and achieve significant industry scale [2][4][7] - Shanghai's software and information services industry generated over 380 billion yuan in revenue in the first quarter of this year, marking a 15.3% year-on-year growth, and contributing 13.6% to the city's GDP [2] - Nanjing is targeting a software and information services industry scale of 860 billion yuan by 2024, just shy of the trillion-yuan mark, with a focus on expanding the industrial chain and enhancing capabilities [4][5] Group 2 - Shanghai is implementing policies to support the software and information services sector, including incentives for growth, AI empowerment, and cost reduction measures, with a total of 16 initiatives planned [2] - Nanjing is prioritizing artificial intelligence development, with plans to invest over 160 billion yuan in 114 key AI projects, which are expected to boost the software industry [5] - The collaboration between cities in the Yangtze River Delta region, leveraging their unique strengths—Shanghai's technological leadership and Nanjing's industrial software focus—aims to foster regional cooperation and innovation [7]

弃用 Windows、Office 的个人和组织每年都会时不时的出现，但是随着微软即将在 2025 年 10 月 14 日停止支持 Windows 10 日期的临近，"去微软化"趋势 愈发明显，甚至多数都是自上而下的。 "我们彻底告别 Teams 了！"这是德国石勒苏益格-荷尔斯泰因州数字化部长 Dirk Schrödter 在近期一次公开活动上最新的声明。与此同时，他还透露，该州 计划在未来三个月内，彻底淘汰微软软件，全面迁移至 Linux 与开源工具。 要知道，另一个欧洲政府组织丹麦数字化事务部也刚于不久前宣布将在今年秋季前放弃微软全家桶，转而全面部署 LibreOffice 和 Linux。随着时间的推 移，这一波"脱微潮"似乎正从点状向欧洲其他地区蔓延，而这一切都是为什么？ 又一欧洲政府放弃微软，转而使用 Linux 等开源替代品 这并非小打小闹，仅是从影响范围来看，Dirk Schrödter 的这一决定将影响约三万名政府工作人员。他还表示，随后包括中小学教师在内的其他公共服务 体系人员也将逐步完成迁移。 对于德国荷尔斯泰因州这场全面迁移，政府给出的理由直白而有力：确保数据的本地化，避免敏感信息落入 ...

尊敬的各位投资者： 展信佳。 长城恒生科技指数QDII（A类：024148；C类：024149）已于今天顺利结束募集，感谢您的信任与支 持。 往后展望，在"以我为主"的未来图景下，中国科技力量崛起将是长期故事，恒生科技指数有望在这一发 展进程中持续焕发生机。 最后，再次感谢您对长城恒生科技指数QDII的关注。我们将始终秉持专业审慎的投资理念，以深度研 究为基石，紧密跟踪科技产业变革趋势，全力以赴把握港股科技板块的投资机遇，力争为您创造长期稳 健的投资回报！ 政策面上，国内 "科技自立自强" 政策持续加码，从芯片国产替代到软件自主可控，政策支持力度不断 提升。近期工信部等九部门联合发布的《关于加快推进科技服务业高质量发展的实施意见》明确提出， 加快科技成果转化和产业化，有力支撑科技创新和产业创新融合发展。特别在半导体、智能装备等 "卡 脖子" 领域，政策端正通过专项基金、税收优惠等组合拳，加速产业突围。 产业面上，以DeepSeek为代表的国产AI技术和应用正迎来突破性发展，随着AI加速向各行各业渗 透，"AI+"不仅将推动科技企业盈利模式升级，更有望成为中国经济高质量发展的新引擎。港股科技板 块作为相关企业的 ...

Core Insights - The third Software Innovation Development Conference was held in Wuhan, focusing on opportunities in the era of artificial intelligence and key areas such as independent software innovation, AI technology empowerment, open-source ecosystem cultivation, and integrated software and hardware development [1][14] - The conference attracted over 1,200 attendees, including experts, scholars, and leaders from major software companies, emphasizing the importance of collaboration and innovation in the software industry [1][14] Group 1: Government and Industry Support - The Hubei provincial government prioritizes the software industry as a key driver of new productivity, aiming to strengthen core technologies and create a robust industrial ecosystem [3] - Wuhan is positioning itself as a leading city in digital economy, with plans to develop a software industry scale exceeding 800 billion yuan by 2030 [4] - The conference highlighted the establishment of the Hubei Industrial Software Industry Innovation Work Committee to enhance regional software industry development [8] Group 2: Key Themes and Discussions - The main forum featured speeches from government officials and industry leaders, discussing the integration of artificial intelligence and software, and the importance of open-source ecosystems [2][5] - Experts presented on the development paths of engineering software and the integration of AI with software technologies, indicating a shift towards more intelligent and efficient software solutions [7][13] - The conference included six thematic forums covering various aspects of software development, such as industrial software, cybersecurity, and AI applications [14] Group 3: Innovation and Collaboration - The conference showcased a software interactive marketplace, allowing participants to experience the latest technological innovations and products from various regions [11][12] - A total of 24 software investment projects were signed, with a cumulative investment amount exceeding 4.5 billion yuan, indicating strong market interest and potential for growth [9] - The establishment of the Yujia Mountain Forum aims to create a new hub for industrial software innovation, leveraging the resources and expertise of alumni from Huazhong University of Science and Technology [10]

以下文章来源于硬评测 ，作者专注科技产研的 硬评测 . 体验最好用好玩的AI、科技产品 点击 上方 蓝字 关注我们 这些时刻，很难不去想：这到底是人工智能，还是"人工智障"啊 ？？？！！！ 所以，当我拿到这台云鲸逍遥0 0 2时，我的心态是审慎的。 但经过三百多个小时的"暴力测试"后，我必须承认，这次，可能真的不一样了。 地面清洁的「终极形态」可能真的被云鲸造出来了 ！ 硬评测 作者 | Kozmon 编辑 | lalalunee 老实说，在体验云鲸逍遥0 0 2之前，我对"全能扫地机器人"这个词已经有点麻木了。 这些年，我们见过太多参数上的内卷：吸力从一万卷到两万，功能从扫拖一体卷到自动洗拖布、自动集尘。但一个灵魂拷问始终悬在我们这 些"懒人"用户头上： 它真的能让我完全撒手不管吗？ 我在使用扫地机时，就碰到过很多让人啼笑皆非的场景：满怀期待地让机器人去处理打翻的咖啡，结果它用一块脏兮兮的拖布画出了一幅后现 代主义大地艺术画；扫着扫着，就被一根充电线"锁喉"，然后无助地在原地"嘤嘤嘤"直到电量耗尽。 这玩意儿，你不能再用"扫拖机器人"的旧眼光去看它。它更像是一个被施了魔法的物种： 云鲸把一台专业的「手持洗地 ...

2020 年初，一家领先 AI 公司的研究人员遇到了一个在几年前对任何网络工程师而言都荒谬的问 题：他们的旗舰语言模型（最终将为对话式 AI 系统提供动力的类型）训练了三周后，在完成 60% 时突然停滞。数百个 GPU 闲置在多个服务器机架中，消耗云资源的速度让首席财务官们心痛不已。 工程团队的第一反应是检查明显的问题所在：计算利用率？99%。内存使用情况？最佳。存储 I/O？ 完全在限制范围内。然而训练过程实际上已冻结，GPU 在等待本应瞬间完成的任务。 事实证明，瓶颈并非数十年来定义计算性能的任何组件， 而是网络 。更具体地说，这个网络设计适 用于计算机偶尔相互通信的场景，而非数千个处理器需要完美同步协调每一次计算的场景。传统数 据中心网络栈（为响应用户请求的 Web 服务器、为应用提供服务的数据库和移动文件的存储系统而 构建）根本无法满足 AI 工作负载对集体通信模式的需求 —— 这是人类应用从未有过的需求。 这不仅是技术问题，更是将重塑整个行业的架构不匹配。AI 工作负载不仅需要更多网络资源，还需 要根本不同的网络架构。而这种差异正是一场竞争革命的种子：它将一个看似 unlikely 的参与者推 向主 ...

Group 1 - The market experienced a rapid pullback due to external news, but after six days, it began to show signs of rational recovery with a rebound starting today [1] - The overall rebound position aligns with the 30-day moving average, indicating a potential stabilization after the recent pullback [1] - Two main sectors driving the market's short-term performance are identified: the first being the gaming and film industry, driven by upcoming school holidays and new game product launches expected in July [1] Group 2 - The market is influenced by two significant forces: financial stocks, particularly the securities sector, which saw a broad increase, contributing to a monthly gain of approximately 10 points [2] - The software sector is also showing strength, supported by stablecoin concepts and breakthroughs in domestic software, indicating positive expectations for further research [2] - As the market approaches the latter half of June, it continues to digest pressure around the 3400-point level, which is seen as beneficial for the A-share market over time [2]

Core Viewpoint - Japanese automakers are forming alliances to develop AI and autonomous driving technologies, supported by government subsidies and policies aimed at strengthening the domestic supply chain [2][3][4]. Group 1: Government Support and Policy Direction - The Japanese government has been promoting the development of "software-defined vehicles" (SDV) and emphasizes AI-driven automotive software [3]. - Recent revisions to the "Mobility DX Strategy" include support for AI autonomous driving, focusing on AI infrastructure, talent development, and safety standards [3][4]. Group 2: Industry Collaboration - Japanese automakers are collaborating to enhance the domestic supply chain and reduce reliance on foreign technologies, particularly in critical areas like autonomous driving chips and high-precision mapping [5][6]. - The collaboration aims to share R&D resources, reduce costs, and improve efficiency by leveraging each company's strengths in sensor technology, algorithm optimization, and other areas [6][7]. Group 3: Positive Impacts of Alliances - The formation of alliances is expected to lead to significant advancements in infrastructure, such as advanced computing platforms and data centers, to meet the growing computational demands of autonomous driving systems [7]. - The collaboration will also facilitate talent development by integrating training resources and partnering with educational institutions to create specialized programs in automotive engineering and AI [7]. Group 4: Competitive Landscape - The emergence of a Japanese automaker alliance in AI and autonomous driving is likely to intensify global competition, potentially prompting European and American companies to accelerate their own R&D efforts [8]. - This shift may influence the traditional model of independent R&D among automakers, leading to more cross-industry collaborations involving parts suppliers and technology firms [8].