南财智讯12月31日电，华大九天公告，公司首次公开发行股票募集资金投资项目之"模拟设计及验证 EDA工具升级项目"已实施完毕并达到预定可使用状态，该募投项目结项无节余募集资金；"补充流动资 金"项目也已实施完毕。公司已办理完成上述两个募投项目的募集资金专户注销手续，相关募集资金监 管协议相应终止。 ...

主要股东包括创始人、首席执行官兼董事长Kee Chwee Lai(IPO后持股37%)和首席技术官兼董事Shutao Jiang(22%)。 这家总部位于新加坡的公司成立于2014年，在截至2025年6月30日的12个月内实现收入100万美元。公司 计划在纽约证券交易所美国版上市，尚未确定交易代码(RC代码：OPAI.RC)。R.F.Lafferty&Co.担任此次 发行的唯一簿记管理人。 Optimal AI通过其子公司Hiverlab，为医疗、制造、物流及金融服务等行业提供集成的企业AI解决方 案。产品包括用于空间数字孪生的SpatialWork、基于网页的VR360体验平台CloudExpo，以及面向新加 坡(占2024财年收入的78%)、沙特阿拉伯(19%)、越南(3%)等地客户的定制空间XR方案。 Optimal AI是一家为企业提供建模和仿真软件的新加坡供应商，该公司周二向美国证券交易委员会提交 申请，拟通过首次公开募股募资至多1100万美元。该公司计划以每股4至5美元的价格发行250万股，筹 资1100万美元。按拟议区间中点计算，Optimal AI的市值将为1.09亿美元，企业价值1亿美元，对 ...

在数据安全、合规审计与系统可控性要求越来越高的背景下，越来越多企业在选型项目管理工具时，把"支持私有部署的项目管理系统"作为硬性 条件。但私有化并不等于更安全：权限模型、日志审计、集成能力、扩展性与运维成本，都会直接决定你能否真正落地。本文将围绕企业真实选 型路径，盘点 8 款兼顾安全合规与可扩展的私有部署方案，并给出对比维度与避坑要点，帮助你更快做出可执行的决策。 一、为什么企业更需要支持私有部署的项目管理系统？典型场景拆解 当项目协作从"工具层"走向"经营与研发中枢"，企业往往会把数据主权、可控性与合规审计放在首位。尤其是涉及客户信息、研发资料、合同与 预算、供应链与交付计划等敏感数据时，选择支持私有部署的项目管理系统，本质是在降低"平台不可控导致的业务风险"：包括数据边界不清、 权限不可穿透、审计追溯不完整、供应商变更带来的连续性风险等。 典型场景上，私有化部署项目管理软件常见于：① 集团型/多法人组织（跨地域、跨子公司数据隔离与统一管控）；② 研发与交付并重（需求— 研发—测试—发布—复盘需全链路留痕）；③ 政企/医疗/金融等强监管行业（等保、内控、外部审计频繁）；④ 信创与国产化适配（基础软硬件 环 ...

Legal Developments in the Delhi High Court - The Delhi High Court was involved in high-profile cases, including the suspension of the life sentence of expelled BJP leader Kuldeep Sengar, which was later stayed by the Supreme Court amid public uproar [2][3][22] - Corporates like Apple Inc challenged the Competition Commission of India's directive to furnish audited financial statements, while Indigo sought a refund of over ₹900 crore for customs duties on re-imported aircraft parts [15][22] - The high court dismissed petitions from restaurant bodies against the Central Consumer Protection Authority's guidelines prohibiting mandatory service charges, deeming it against public interest [18][23] Celebrity and Political Cases - Several Bollywood stars and politicians approached the high court for protection of their personality rights, including Aishwarya Rai Bachchan, Salman Khan, and Andhra Pradesh Deputy Chief Minister Pawan Kalyan [4][6][22] - Karisma Kapoor's children contested the authenticity of their late father's will, claiming their stepmother was "greedy," while Priya Kapur defended the will, stating the children had already received ₹1,900 crore from the family trust [7][8][22] Educational and Social Issues - The high court emphasized the need for a functional anti-ragging helpline due to increasing student suicides and directed that no law college can bar students from exams due to attendance issues [12][13][22] - The court also agreed to hear a plea from the Popular Front of India against a tribunal order upholding a five-year ban on the group [14][22]

新华财经北京12月31日电（记者吴丛司）近日，中国人民银行出台《关于进一步加强数字人民币管理服 务体系和相关金融基础设施建设的行动方案》，明确新一代数字人民币体系将于2026年1月1日全面实 施。数字人民币将从数字现金时代迈入数字存款货币时代。 编辑：尹杨 宇信科技助理总裁徐海波日前在一次分享中表示，央行大力推广的数字人民币会为科技企业支持带来新 的想象空间。 徐海波透露："宇信参与了某境外数字法币体系建设，承担消费红包智能合约子系统的设计及构建工 作，我们深刻认识到，数字法币的智能合约是政府政策推行的有效工具。例如，通过智能合约定向补贴 必须满足条件才能实际领取使用，可实现比传统政策文本发布、解读、落地措施等更精准、更高效的定 向扶持。" 他认为，数字人民币智能合约的应用前景更为广阔。一方面，政府可以为硬科技企业创造更好的外部市 场环境；另一方面，如果智能合约用于信贷，可以精准限定资金用于研发等专项用途。资金流与信息流 在区块链上的不可篡改记录，能实时转化为银行观察企业的数据，形成动态风险监控和信用积累，大幅 降低信息不对称风险。 业内专家指出，智能合约技术依托中国人民银行数字人民币智能合约生态服务平台为支 ...

1，支持虚拟现实的跑步机开发商Virtuix Holdings申请在纳斯达克直接上市，在中国珠海设有生产工 厂，该公司计划在纳斯达克上市，股票代码为VTIX Virtuix Holdings公司专注于开发用于虚拟现实/增强现实游戏和健身的跑步机，该公司于周二向美国证 券交易委员会提交了股票注册申请，并计划在纳斯达克直接上市。此次上市的普通股将由现有股东出 售，Virtuix Holdings不会通过此次上市筹集新资金。该公司尚未披露参考价格或预计的上市时间。 截至2025年3月31日的年度，该公司披露的加权平均股价约为5.41美元。如果该公司以该价格上市，其 市值将达到2.09亿美元。 Virtuix专注于虚拟现实应用的全向跑步机，在消费、企业和国防市场提供Omni One、Omni Arena、 Omni Care、Omniverse和Omni Pro等产品。该公司已向45个以上的国家运送了4000多台Omni Pro设备， 在美国的娱乐中心安装了80套Omni Arena系统，用户基数超过50万，自2024年9月推出以来已交付1800 台Omni One设备。此外，Virtuix在中国珠海设有生产工厂。 ...

Core Insights - Meta has announced the acquisition of Manus for several billion dollars, marking it as the third-largest acquisition in Meta's history after WhatsApp and Scale AI [2] - Manus's founder will become a vice president at Meta, and the company will continue to operate independently in Singapore [2] - The acquisition highlights the challenges faced by independent companies in the generative AI space, as the development and optimization of enterprise-level agents often require significant resources typically available to larger firms [2] Group 1: Challenges in AI Implementation - Issues related to engineering delivery and product optimization can be categorized into several types, including hallucination, integration, operation and maintenance, and cost control [3] - In real enterprise scenarios, users prioritize immediate operational efficiency over abstract metrics like token usage [4] - The challenges of deploying AI solutions in the Asia-Pacific region include language diversity and regulatory requirements, necessitating localized support and flexible deployment options [30][32] Group 2: Product Development and Strategy - The concept of Agentic RAG (Retrieval-Augmented Generation) aims to enhance the capabilities of AI systems by allowing them to plan, iterate, and utilize multiple tools, rather than simply retrieving and generating responses [16][19] - Tencent Cloud's approach to AI emphasizes product thinking, focusing on practical solutions that meet real business needs rather than just visionary concepts [20][28] - The introduction of AI-native widgets by Tencent Cloud represents a significant advancement in user interaction, allowing for customizable components that can be easily integrated into AI systems [26][27] Group 3: Market Position and Competitive Landscape - Tencent Cloud's recognition in the IDC report as a leader in the AI space reflects its strong product capabilities and local support infrastructure across the Asia-Pacific region [5][32] - The successful implementation of AI solutions, such as the partnership with DHL, demonstrates the practical benefits of AI in enhancing operational efficiency and reducing reliance on human resources [33][34] - The future of AI commercialization in the enterprise sector will depend on the underlying product mindset, engineering capabilities, and global operational strategies [35][36]

Core Viewpoint - Salesforce is shifting its strategy from reliance on generative AI to more predictable "deterministic" automation technologies in its flagship product, Agentforce, due to operational challenges and customer feedback regarding AI performance [1][4][8]. Group 1: Strategic Shift - Salesforce has reduced its customer support team from 9,000 to approximately 5,000 as part of its AI deployment strategy [1]. - The company is now introducing basic automation techniques in Agentforce to enhance reliability, moving away from the previously favored generative AI models [3][4]. - This strategic pivot contrasts sharply with Salesforce's earlier "AI-first" approach, indicating a significant change in product strategy [4]. Group 2: Operational Challenges - Agentforce has faced issues with stability and reliability, leading to customer dissatisfaction, such as missed satisfaction survey prompts [5]. - The CTO of Agentforce acknowledged that basic automation could lower operational costs but also highlighted limitations, such as the risk of missing instructions when the number exceeds eight [4][5]. - The phenomenon of AI "drift" has been noted, where AI systems deviate from their intended tasks when faced with unrelated queries [5][6]. Group 3: Market Reaction and Financial Impact - Salesforce's stock has dropped approximately 34% from its peak in December 2024, reflecting market concerns over the company's AI strategy [7]. - CEO Marc Benioff has indicated a shift in focus towards data infrastructure rather than AI models, emphasizing the risks associated with unreliable AI outputs [7]. - There is speculation about potentially rebranding the company to "Agentforce" due to declining interest in cloud computing topics among customers [7]. Group 4: Industry Implications - Salesforce's retreat from generative AI may have ripple effects on thousands of companies currently utilizing this technology [8]. - The company emphasizes the need for AI to be integrated with reliable data and governance frameworks to ensure predictable business outcomes [8].

Core Viewpoint - Apple is adopting a cautious approach in the artificial intelligence (AI) sector, which may provide a significant competitive advantage by 2026 [1][3]. Group 1: AI Strategy - Apple has slowed down the release of AI features after initially promising a new context-aware Siri at the 2024 WWDC, focusing instead on user interface innovations for 2025 [3]. - The company has significantly reduced its marketing efforts related to AI technology compared to competitors like Meta and Google, which are investing billions in AI infrastructure [3]. - Apple's conservative spending has allowed it to maintain a cash reserve of approximately $130 billion for future AI investments or acquisitions [3]. Group 2: Collaboration and Development - Apple plans to integrate Google's Gemini technology into its upcoming AI features set to launch in 2026, which reduces R&D risks and preserves resources for potential strategic acquisitions [3][4]. - The internal AI team is exploring the possibility of developing proprietary models, but some executives believe the commercial rationale for long-term investment in self-developed models is diminishing as LLM technology becomes more commoditized [4]. Group 3: Market Position and Future Outlook - The iPhone remains an ideal platform for deploying AI features due to its integrated hardware and software ecosystem, giving Apple a unique advantage in delivering AI functionalities [4]. - Although Apple's current "steady and cautious" strategy may make it appear behind in the short-term AI race, it could achieve a better balance between technological maturity, user experience, and commercial sustainability [4].

0:00 12月26日，在以"环球相约 智启新程"为主题的第六届环球趋势大会现场，中国科技成果出海成为热议 焦点。当前，AI技术应用正迎来全球化爆发期，高效创新的数字化工具成为企业与个体参与全球竞争 的核心抓手。百度"秒哒"产品总经理朱广翔在会上表示："在智能时代，创意落地的效率与门槛决定了 全球竞争力，百度秒哒的核心使命，是打破传统软件开发的技术壁垒，让全球用户仅凭语言表达就能实 现创意变现，为中国AI原生技术出海探索可复制的成功路径。"（详见视频） 来源：环球网 ...