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<p>香港，2026 年 6 月 12 日（全球新闻稿）——3 E Network Technology Group Limited（纳斯达克：MASK）（“公司” 或 “3 E Network”），一家面向企业的（“B2B”）信息技术（“IT”）商业解决方案提供商，致力于成为下一代人工智能（“AI”）基础设施解决方案提供商，今天发布了首席执行官杨廷俊博士的战略见解。在公司与总部位于加利福尼亚的先进机器人企业 Aladdin Alaris AI 最近达成战略合作伙伴关系后，杨博士分享了 3 E Network 对服务机器人行业演变的评估，并概述了公司在基础硅技术和更广泛应用生态系统发展方面的战略路线图。</p>
<p><strong>行业洞察：从 “空间智能” 到 “具身 AI” 的演变</strong></p>
<p>在谈到行业趋势时，杨博士指出：“AI 模型正在加速向边缘迁移。未来，机器人不仅需要基本的语义理解，还需要掌握复杂的 ‘空间智能’ 和物理交互法则。”</p>
<p>“机器人技术正逐渐超越传统的 ‘基于规则的编程’，转向集成强化学习和 ‘模拟到现实’ 转移的政策生成。预计机器人将演变为具备跨场景泛化和终身学习能力的 ‘先进具身 AI’ 系统，使其能够适应多样的商业和家庭环境。这一演变的关键驱动因素之一是边缘计算密度的持续增加。3 E Network 的战略目标是为物理世界中的智能终端提供可扩展和可靠的基础计算支持。”</p>
<p><strong>硬件重构：硅创新是打破性能瓶颈的关键</strong></p>
<p>为了克服当前的计算瓶颈，首席执行官指出升级基础硬件是必不可少的：“在处理多模态传感器融合时，例如来自高帧率视觉、空间雷达和触觉阵列的并发输入，传统的商用硅可能面临与 ‘冯·诺依曼瓶颈’ 和 ‘内存墙’ 相关的限制，这可能导致更高的功耗和非确定性延迟。下一代具身智能的计算基础设施不能仅依赖于云；它必须在边缘高效部署。”</p>
<p>认识到这一转变，3 E Network 正在推进边缘计算的硬件重构。“我们相信，针对多模态工作负载优化的异构计算架构和边缘 AI SoC 是解决这些瓶颈的重要技术路径。通过在硅级优化数据路径，并将专用张量加速引擎与低延迟的片上 SRAM 集成，我们的设计旨在减少与数据移动相关的能耗。这预计将提高机器人环境感知的精确度和响应速度，使其能够在受控功率预算内高效执行量化的大型语言模型和视觉 - 语言模型。硬件将真正作为支持实时机器人感知和控制的关键层。”</p>
<p><strong>软件协同：通过 “硬件 - 软件” 协同设计减少系统摩擦</strong></p>
<p>除了硅，杨博士强调 “全栈协同” 是释放硬件潜力的关键：“在具身 AI 时代，缺乏深度耦合软件栈的硬件往往表现不佳。传统的堆叠系统导致 AI 模型的决策命令在中间件层之间经历摩擦。在 3 E Network 的技术蓝图中，我们推动 ‘硬件 - 软件协同设计’，从芯片级设计到上层算法框架。”</p>
<p>“我们正在开发的底层实时控制算法和定制编译器旨在与我们的专有芯片实现深度的 ‘指令集级’ 集成。这种全栈优化旨在将边缘模型生成的语义指令转换为驱动关节电机的细粒度运动控制命令，具有低延迟。它旨在减少传统操作系统固有的调度延迟，目标是使计算能力更高效地转化为平滑的闭环控制机电系统。这是实现更灵敏和适应性强的机器人运动以及适应动态、非结构化环境的基础支持。”</p>
<p><strong>场景扩展：构建泛机器人计算平台</strong></p>
<p>关于商业部署，杨博士指出：“传统的机器人市场相对分散。开发不同的形态，例如轮式、四足或双足人形机器人，通常涉及高额的非重复工程成本。3 E Network 致力于构建一个多功能和可扩展的基础计算平台，以符合软件定义机器人行业的趋势。”</p>
<p>“老龄化人口的需求和智能医疗市场的增长代表了我们当前的商业切入点。通过由 3 E Network 的计算基础支持的养老机器人，我们正在积极探索银发经济的潜力。利用标准化的基础计算平台和模块化应用框架，我们的技术栈可以扩展到工业协作机器人、物流和通用人形机器人，实现跨领域泛化，扩展机器人市场的边界。”</p>
<p><strong>商业与生态系统愿景：培育 “开发者友好” 生态系统</strong></p>
<p>在总结公司的商业化路径时，杨博士强调了开放生态系统的价值：“在人工智能计算时代，商业竞争优势不仅仅在于硅性能，更在于一个活跃的开发者生态系统。3 E Network 正在积极与各个垂直领域的机器人企业建立合作关系。”</p>
<p>“我们最近与位于加利福尼亚的先进机器人企业 Aladdin Alaris AI 在智能医疗领域建立的战略联盟，是实现这一愿景的重要一步。这为我们的技术在医疗相关场景中的潜在应用提供了环境，并标志着构建开放生态系统的具体步骤。未来，我们将深化基础芯片技术，同时提供标准化、开发者友好的中间件和工具链，旨在降低机器人初创企业和算法开发者的硬件集成壁垒。通过赋能行业开发者，3 E Network 努力将核心技术优势转化为跨经济周期的长期企业价值。”</p>
<p><strong>关于 3 E Network Technology Group Limited</strong></p>
<p>3 E Network Technology Group Limited 是一家致力于成为下一代人工智能（AI）基础设施解决方案提供商的企业对企业（B2B）信息技术（IT）商业解决方案提供商。它秉持 “AI 与能源共生” 的行业共识，并在能源投资领域具有强大的愿景。公司的业务主要包括两个投资组合：数据中心运营服务投资组合和软件开发投资组合。有关更多信息，请访问公司的官方网站 https://3emask.com/。</p>
<p><strong>前瞻性声明</strong></p>
<p>本公告中的某些声明为前瞻性声明。这些前瞻性声明涉及已知和未知的风险和不确定性，并基于公司对未来事件的当前预期和预测，这些事件可能影响公司的财务状况、经营结果、商业战略和财务需求。投资者可以通过 “近似”、“评估”、“相信”、“希望”、“期待”、“预期”、“估计”、“项目”、“打算”、“计划”、“将”、“会”、“应该”、“可能”、“或类似表达” 来识别这些前瞻性声明。除法律要求外，公司没有义务公开更新或修订任何前瞻性声明，以反映后续事件或情况，或其预期的变化。尽管公司相信这些前瞻性声明中表达的预期是合理的，但无法保证这些预期会正确实现，并提醒投资者实际结果可能与预期结果有重大差异，并鼓励投资者查看可能影响公司未来结果的其他因素，这些因素在公司的注册声明和其他向美国证券交易委员会提交的文件中有所说明。</p>
<p><strong>如需更多信息，请联系：</strong></p>
<p><strong>3 E Network Technology Group Limited</strong></p>
<p>投资者关系部</p>
<p>电子邮件：ird@3emask.com</p>
<p>网站：https://3emask.com/</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.globenewswire.com/newsroom/ti/query-bmY9T1RjME5UazRPQ00zTmpVNE56YzVJekl6TURVNE5UTT0?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.globenewswire.com/newsroom/ti/query-bmY9T1RjME5UazRPQ00zTmpVNE56YzVJekl6TURVNE5UTT0"/></p>
<p><img src="https://imageproxy.pbkrs.com/https://ml.globenewswire.com/media/YjI3YTFkN2UtM2JkMS00NTBjLWE5Y2MtZmUyNzZmNGZmZWY2LTEzMTc0MDMtMjAyNi0wNi0xMi1lbg==/tiny/3E-Network-Technology-Group-Li.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://ml.globenewswire.com/media/YjI3YTFkN2UtM2JkMS00NTBjLWE5Y2MtZmUyNzZmNGZmZWY2LTEzMTc0MDMtMjAyNi0wNi0xMi1lbg==/tiny/3E-Network-Technology-Group-Li.png"/></p>

MASK

<p>3 E Network Technology Group（纳斯达克代码：MASK）首席执行官杨廷俊博士概述了公司的战略愿景，强调从空间智能向具身人工智能的转变。在与 Aladdin Alaris AI 建立合作关系后，公司专注于硅创新和边缘人工智能，以克服硬件瓶颈。关键策略包括异构计算架构、硬件与软件协同设计以实现低延迟控制，以及构建一个多功能的泛机器人计算平台，旨在服务于老年护理和工业应用</p>

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<div class="lb-trans"><p>在谷歌搜索和人工智能回答中查看更多来自 StockTitan 的信息。将 StockTitan 添加为首选来源 · 打开谷歌</p>
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</div><p>HONG KONG, June 12, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or “3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider, committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider, today released strategic insights from its Chief Executive Officer, Dr. Tingjun Yang. Following the Company’s recent strategic partnership with California-based advanced robotics enterprise Aladdin Alaris AI, Dr. Yang shared 3 E Network’s assessment of the service robotics industry’s evolution and outlined the Company’s strategic roadmap spanning underlying silicon technologies and broader application ecosystem development.</p>
<div class="lb-trans"><p>香港，2026 年 6 月 12 日（全球新闻稿）——3 E Network Technology Group Limited（纳斯达克：MASK）（“公司” 或 “3 E Network”），一家面向企业的（“B2B”）信息技术（“IT”）商业解决方案提供商，致力于成为下一代人工智能（“AI”）基础设施解决方案提供商，今天发布了首席执行官杨廷俊博士的战略见解。在公司与总部位于加利福尼亚的先进机器人企业 Aladdin Alaris AI 最近达成战略合作伙伴关系后，杨博士分享了 3 E Network 对服务机器人行业演变的评估，并概述了公司在基础硅技术和更广泛应用生态系统发展方面的战略路线图。</p>
</div><p><strong>Industry Insight: The Evolution from “Spatial Intelligence” to “Embodied AI”</strong></p>
<div class="lb-trans"><p><strong>行业洞察：从 “空间智能” 到 “具身 AI” 的演变</strong></p>
</div><p>Addressing industry trends, Dr. Yang noted: “AI models are accelerating their migration to the edge. Moving forward, robots will require not only basic semantic comprehension but also a mastery of complex ‘Spatial Intelligence’ and laws of physical interaction.”</p>
<div class="lb-trans"><p>在谈到行业趋势时，杨博士指出：“AI 模型正在加速向边缘迁移。未来，机器人不仅需要基本的语义理解，还需要掌握复杂的 ‘空间智能’ 和物理交互法则。”</p>
</div><p>“Robotics technology is gradually moving beyond traditional ‘Rule-based Programming,’ pivoting toward policy generation that integrates Reinforcement Learning and ‘Sim-to-Real’ transfer. Robotics are expected to evolve into ‘Advanced Embodied AI’ systems equipped with cross-scenario generalization and Lifelong Learning capabilities, enabling them to adapt to diverse commercial and home environments. One of the key drivers of this evolution is the continuous increase in edge computing density. 3 E Network’s strategic goal is to provide scalable and reliable underlying computational support for intelligent terminals in the physical world.”</p>
<div class="lb-trans"><p>“机器人技术正逐渐超越传统的 ‘基于规则的编程’，转向集成强化学习和 ‘模拟到现实’ 转移的政策生成。预计机器人将演变为具备跨场景泛化和终身学习能力的 ‘先进具身 AI’ 系统，使其能够适应多样的商业和家庭环境。这一演变的关键驱动因素之一是边缘计算密度的持续增加。3 E Network 的战略目标是为物理世界中的智能终端提供可扩展和可靠的基础计算支持。”</p>
</div><p><strong>Hardware Reconstruction: Silicon Innovation as the Key to Breaking Performance Bottlenecks</strong></p>
<div class="lb-trans"><p><strong>硬件重构：硅创新是打破性能瓶颈的关键</strong></p>
</div><p>To overcome current computational bottlenecks, the CEO pointed out that upgrading underlying hardware would be essential: “When processing multi-modal sensor fusion, such as concurrent inputs from high-framerate vision, spatial radar, and tactile arrays, traditional merchant silicon may face limitations related to the ‘Von Neumann bottleneck’ and the ‘Memory Wall,’ which may contribute to higher power consumption and non-deterministic latency. The computing infrastructure for next-generation embodied intelligence cannot rely solely on the cloud; it must be efficiently deployed at the edge.”</p>
<div class="lb-trans"><p>为了克服当前的计算瓶颈，首席执行官指出升级基础硬件是必不可少的：“在处理多模态传感器融合时，例如来自高帧率视觉、空间雷达和触觉阵列的并发输入，传统的商用硅可能面临与 ‘冯·诺依曼瓶颈’ 和 ‘内存墙’ 相关的限制，这可能导致更高的功耗和非确定性延迟。下一代具身智能的计算基础设施不能仅依赖于云；它必须在边缘高效部署。”</p>
</div><p>Recognizing this shift, 3 E Network is advancing the hardware reconstruction of edge computing. “We believe that heterogeneous computing architectures and Edge AI SoCs optimized for multi-modal workloads are important technological pathways to address these bottlenecks. By optimizing the data path at the silicon level and integrating dedicated tensor acceleration engines with low-latency on-chip SRAM, our design aims to reduce the energy consumption associated with data movement at the hardware level. This is expected to enhance robots’ environmental perception precision and response speed, enabling the efficient execution of quantized Large Language Models and Vision-Language Models within controlled power budgets. Hardware will truly serve as a critical layer supporting real-time robotic perception and control.”</p>
<div class="lb-trans"><p>认识到这一转变，3 E Network 正在推进边缘计算的硬件重构。“我们相信，针对多模态工作负载优化的异构计算架构和边缘 AI SoC 是解决这些瓶颈的重要技术路径。通过在硅级优化数据路径，并将专用张量加速引擎与低延迟的片上 SRAM 集成，我们的设计旨在减少与数据移动相关的能耗。这预计将提高机器人环境感知的精确度和响应速度，使其能够在受控功率预算内高效执行量化的大型语言模型和视觉 - 语言模型。硬件将真正作为支持实时机器人感知和控制的关键层。”</p>
</div><p><strong>Software Synergy: Reducing System Friction via “Hardware-Software” Co-design</strong></p>
<div class="lb-trans"><p><strong>软件协同：通过 “硬件 - 软件” 协同设计减少系统摩擦</strong></p>
</div><p>Beyond silicon, Dr. Yang emphasized that “full-stack synergy” is key to unlocking hardware potential: “In the era of Embodied AI, hardware lacking a deeply coupled software stack often underperforms. Traditional stacked systems cause the decision-making commands of AI models to experience friction across layers of middleware. In 3 E Network’s technological blueprint, we promote ‘Hardware-Software Co-design’, from chip-level design to upper-layer algorithmic frameworks.”</p>
<div class="lb-trans"><p>除了硅，杨博士强调 “全栈协同” 是释放硬件潜力的关键：“在具身 AI 时代，缺乏深度耦合软件栈的硬件往往表现不佳。传统的堆叠系统导致 AI 模型的决策命令在中间件层之间经历摩擦。在 3 E Network 的技术蓝图中，我们推动 ‘硬件 - 软件协同设计’，从芯片级设计到上层算法框架。”</p>
</div><p>“The underlying real-time control algorithms and customized compilers we are developing aim for deep ‘Instruction-Set Level’ integration with our proprietary chips. This full-stack optimization is designed to translate semantic instructions generated by edge models into fine-grained motion control commands that drive joint motors with low latency. It is designed to reduce the scheduling latency inherent in traditional operating systems, with the goal of enabling computing power to be translated more efficiently into smooth, closed-loop control of the mechatronic system. This is the foundational support for enabling more responsive and adaptive robotic movements and for adapting to dynamic, unstructured environments.”</p>
<div class="lb-trans"><p>“我们正在开发的底层实时控制算法和定制编译器旨在与我们的专有芯片实现深度的 ‘指令集级’ 集成。这种全栈优化旨在将边缘模型生成的语义指令转换为驱动关节电机的细粒度运动控制命令，具有低延迟。它旨在减少传统操作系统固有的调度延迟，目标是使计算能力更高效地转化为平滑的闭环控制机电系统。这是实现更灵敏和适应性强的机器人运动以及适应动态、非结构化环境的基础支持。”</p>
</div><p><strong>Scenario Expansion: Building a Pan-Robotics Computing Platform</strong></p>
<div class="lb-trans"><p><strong>场景扩展：构建泛机器人计算平台</strong></p>
</div><p>Regarding commercial deployment, Dr. Yang noted: “The traditional robotics market is relatively fragmented. Developing different form factors, such as wheeled, quadruped, or bipedal humanoid robots, typically involves high Non-Recurring Engineering costs. 3 E Network is dedicated to building a versatile and scalable underlying computing platform, aligning with the industry trend of Software-Defined Robotics.”</p>
<div class="lb-trans"><p>关于商业部署，杨博士指出：“传统的机器人市场相对分散。开发不同的形态，例如轮式、四足或双足人形机器人，通常涉及高额的非重复工程成本。3 E Network 致力于构建一个多功能和可扩展的基础计算平台，以符合软件定义机器人行业的趋势。”</p>
</div><p>“The needs of an aging population and the growth of the smart healthcare market represent our current commercial entry point. Through eldercare robots powered by 3 E Network’s computing foundation, we are actively exploring the potential of the silver economy. Leveraging a standardized underlying compute platform and a Modular Application Framework, our technology stack can potentially extend to industrial collaborative robots, logistics, and general-purpose humanoid robots, achieving cross-domain generalization and expanding the market boundaries of robotics.”</p>
<div class="lb-trans"><p>“老龄化人口的需求和智能医疗市场的增长代表了我们当前的商业切入点。通过由 3 E Network 的计算基础支持的养老机器人，我们正在积极探索银发经济的潜力。利用标准化的基础计算平台和模块化应用框架，我们的技术栈可以扩展到工业协作机器人、物流和通用人形机器人，实现跨领域泛化，扩展机器人市场的边界。”</p>
</div><p><strong>Commercial and Ecosystem Vision: Fostering a &#34;Developer-Friendly&#34; Ecosystem</strong></p>
<div class="lb-trans"><p><strong>商业与生态系统愿景：培育 “开发者友好” 生态系统</strong></p>
</div><p>Summarizing the Company’s commercialization path, Dr. Yang underscored the value of an open ecosystem: “In the era of AI computing, the commercial competitive advantage is not just silicon performance, but an active developer ecosystem. 3 E Network is actively establishing partnerships with robotics enterprises across various verticals.”</p>
<div class="lb-trans"><p>在总结公司的商业化路径时，杨博士强调了开放生态系统的价值：“在人工智能计算时代，商业竞争优势不仅仅在于硅性能，更在于一个活跃的开发者生态系统。3 E Network 正在积极与各个垂直领域的机器人企业建立合作关系。”</p>
</div><p>“Our recent strategic alliance with California-based advanced robotics enterprise Aladdin Alaris AI in the smart healthcare sector is an important step toward this vision. This provides a potential application environment for our technology in healthcare-related scenarios and marks a concrete step in building an open ecosystem. Moving forward, we will deepen our underlying chip technology while providing standardized, developer-friendly middleware and toolchains, with the goal of lowering hardware integration barriers for robotics startups and algorithmic developers. By empowering industry developers, 3 E Network strives to translate core technological advantages into long-term enterprise value across economic cycles.”</p>
<div class="lb-trans"><p>“我们最近与位于加利福尼亚的先进机器人企业 Aladdin Alaris AI 在智能医疗领域建立的战略联盟，是实现这一愿景的重要一步。这为我们的技术在医疗相关场景中的潜在应用提供了环境，并标志着构建开放生态系统的具体步骤。未来，我们将深化基础芯片技术，同时提供标准化、开发者友好的中间件和工具链，旨在降低机器人初创企业和算法开发者的硬件集成壁垒。通过赋能行业开发者，3 E Network 努力将核心技术优势转化为跨经济周期的长期企业价值。”</p>
</div><p><strong>About 3 E Network Technology Group Limited</strong></p>
<div class="lb-trans"><p><strong>关于 3 E Network Technology Group Limited</strong></p>
</div><p>3 E Network Technology Group Limited is a business-to-business (“B2B”) information technology (“IT”) business solutions provider committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider. It upholds the industry consensus of “AI and energy symbiosis” and has a strong vision in the field of energy investment. The Company’s business comprises two main portfolios: the data center operation services portfolio and the software development portfolio. For more information, please visit the Company’s website at https://3emask.com/.</p>
<div class="lb-trans"><p>3 E Network Technology Group Limited 是一家致力于成为下一代人工智能（AI）基础设施解决方案提供商的企业对企业（B2B）信息技术（IT）商业解决方案提供商。它秉持 “AI 与能源共生” 的行业共识，并在能源投资领域具有强大的愿景。公司的业务主要包括两个投资组合：数据中心运营服务投资组合和软件开发投资组合。有关更多信息，请访问公司的官方网站 https://3emask.com/。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性声明</strong></p>
</div><p>Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company's current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy, and financial needs. Investors can identify these forward-looking statements by words or phrases such as “approximates,” “assesses,” “believes,” “hopes,” “expects,” “anticipates,” “estimates,” “projects,” “intends,” “plans,” “will,” “would,” “should,” “could,” “may” or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect the Company’s future results in the Company’s registration statement and other filings with the U.S. Securities and Exchange Commission.</p>
<div class="lb-trans"><p>本公告中的某些声明为前瞻性声明。这些前瞻性声明涉及已知和未知的风险和不确定性，并基于公司对未来事件的当前预期和预测，这些事件可能影响公司的财务状况、经营结果、商业战略和财务需求。投资者可以通过 “近似”、“评估”、“相信”、“希望”、“期待”、“预期”、“估计”、“项目”、“打算”、“计划”、“将”、“会”、“应该”、“可能”、“或类似表达” 来识别这些前瞻性声明。除法律要求外，公司没有义务公开更新或修订任何前瞻性声明，以反映后续事件或情况，或其预期的变化。尽管公司相信这些前瞻性声明中表达的预期是合理的，但无法保证这些预期会正确实现，并提醒投资者实际结果可能与预期结果有重大差异，并鼓励投资者查看可能影响公司未来结果的其他因素，这些因素在公司的注册声明和其他向美国证券交易委员会提交的文件中有所说明。</p>
</div><p><strong>For more information, please contact:</strong></p>
<div class="lb-trans"><p><strong>如需更多信息，请联系：</strong></p>
</div><p><strong>3 E Network Technology Group Limited</strong></p>
<div class="lb-trans"><p><strong>3 E Network Technology Group Limited</strong></p>
</div><p>Investor Relations Department</p>
<div class="lb-trans"><p>投资者关系部</p>
</div><p>Email: ird@3emask.com</p>
<div class="lb-trans"><p>电子邮件：ird@3emask.com</p>
</div><p>Website: https://3emask.com/</p>
<div class="lb-trans"><p>网站：https://3emask.com/</p>
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3 E Network CEO 概述了机器人领域的战略愿景，强调硅创新和边缘 AI | MASK 股票新闻