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<p>香港，2026 年 6 月 12 日（全球新聞稿）——3 E Network Technology Group Limited（納斯達克：MASK）（“公司” 或 “3 E Network”），一家面向企業的（“B2B”）信息技術（“IT”）商業解決方案提供商，致力於成為下一代人工智能（“AI”）基礎設施解決方案提供商，今天發佈了首席執行官楊廷俊博士的戰略見解。在公司與總部位於加利福尼亞的先進機器人企業 Aladdin Alaris AI 最近達成戰略合作伙伴關係後，楊博士分享了 3 E Network 對服務機器人行業演變的評估，並概述了公司在基礎硅技術和更廣泛應用生態系統發展方面的戰略路線圖。</p>
<p><strong>行業洞察：從 “空間智能” 到 “具身 AI” 的演變</strong></p>
<p>在談到行業趨勢時，楊博士指出：“AI 模型正在加速向邊緣遷移。未來，機器人不僅需要基本的語義理解，還需要掌握複雜的 ‘空間智能’ 和物理交互法則。”</p>
<p>“機器人技術正逐漸超越傳統的 ‘基於規則的編程’，轉向集成強化學習和 ‘模擬到現實’ 轉移的政策生成。預計機器人將演變為具備跨場景泛化和終身學習能力的 ‘先進具身 AI’ 系統，使其能夠適應多樣的商業和家庭環境。這一演變的關鍵驅動因素之一是邊緣計算密度的持續增加。3 E Network 的戰略目標是為物理世界中的智能終端提供可擴展和可靠的基礎計算支持。”</p>
<p><strong>硬件重構：硅創新是打破性能瓶頸的關鍵</strong></p>
<p>為了克服當前的計算瓶頸，首席執行官指出升級基礎硬件是必不可少的：“在處理多模態傳感器融合時，例如來自高幀率視覺、空間雷達和觸覺陣列的併發輸入，傳統的商用硅可能面臨與 ‘馮·諾依曼瓶頸’ 和 ‘內存牆’ 相關的限制，這可能導致更高的功耗和非確定性延遲。下一代具身智能的計算基礎設施不能僅依賴於雲；它必須在邊緣高效部署。”</p>
<p>認識到這一轉變，3 E Network 正在推進邊緣計算的硬件重構。“我們相信，針對多模態工作負載優化的異構計算架構和邊緣 AI SoC 是解決這些瓶頸的重要技術路徑。通過在硅級優化數據路徑，並將專用張量加速引擎與低延遲的片上 SRAM 集成，我們的設計旨在減少與數據移動相關的能耗。這預計將提高機器人環境感知的精確度和響應速度，使其能夠在受控功率預算內高效執行量化的大型語言模型和視覺 - 語言模型。硬件將真正作為支持實時機器人感知和控制的關鍵層。”</p>
<p><strong>軟件協同：通過 “硬件 - 軟件” 協同設計減少系統摩擦</strong></p>
<p>除了硅，楊博士強調 “全棧協同” 是釋放硬件潛力的關鍵：“在具身 AI 時代，缺乏深度耦合軟件棧的硬件往往表現不佳。傳統的堆疊系統導致 AI 模型的決策命令在中間件層之間經歷摩擦。在 3 E Network 的技術藍圖中，我們推動 ‘硬件 - 軟件協同設計’，從芯片級設計到上層算法框架。”</p>
<p>“我們正在開發的底層實時控制算法和定製編譯器旨在與我們的專有芯片實現深度的 ‘指令集級’ 集成。這種全棧優化旨在將邊緣模型生成的語義指令轉換為驅動關節電機的細粒度運動控制命令，具有低延遲。它旨在減少傳統操作系統固有的調度延遲，目標是使計算能力更高效地轉化為平滑的閉環控制機電系統。這是實現更靈敏和適應性強的機器人運動以及適應動態、非結構化環境的基礎支持。”</p>
<p><strong>場景擴展：構建泛機器人計算平台</strong></p>
<p>關於商業部署，楊博士指出：“傳統的機器人市場相對分散。開發不同的形態，例如輪式、四足或雙足人形機器人，通常涉及高額的非重複工程成本。3 E Network 致力於構建一個多功能和可擴展的基礎計算平台，以符合軟件定義機器人行業的趨勢。”</p>
<p>“老齡化人口的需求和智能醫療市場的增長代表了我們當前的商業切入點。通過由 3 E Network 的計算基礎支持的養老機器人，我們正在積極探索銀髮經濟的潛力。利用標準化的基礎計算平台和模塊化應用框架，我們的技術棧可以擴展到工業協作機器人、物流和通用人形機器人，實現跨領域泛化，擴展機器人市場的邊界。”</p>
<p><strong>商業與生態系統願景：培育 “開發者友好” 生態系統</strong></p>
<p>在總結公司的商業化路徑時，楊博士強調了開放生態系統的價值：“在人工智能計算時代，商業競爭優勢不僅僅在於硅性能，更在於一個活躍的開發者生態系統。3 E Network 正在積極與各個垂直領域的機器人企業建立合作關係。”</p>
<p>“我們最近與位於加利福尼亞的先進機器人企業 Aladdin Alaris AI 在智能醫療領域建立的戰略聯盟，是實現這一願景的重要一步。這為我們的技術在醫療相關場景中的潛在應用提供了環境，並標誌着構建開放生態系統的具體步驟。未來，我們將深化基礎芯片技術，同時提供標準化、開發者友好的中間件和工具鏈，旨在降低機器人初創企業和算法開發者的硬件集成壁壘。通過賦能行業開發者，3 E Network 努力將核心技術優勢轉化為跨經濟週期的長期企業價值。”</p>
<p><strong>關於 3 E Network Technology Group Limited</strong></p>
<p>3 E Network Technology Group Limited 是一家致力於成為下一代人工智能（AI）基礎設施解決方案提供商的企業對企業（B2B）信息技術（IT）商業解決方案提供商。它秉持 “AI 與能源共生” 的行業共識，並在能源投資領域具有強大的願景。公司的業務主要包括兩個投資組合：數據中心運營服務投資組合和軟件開發投資組合。有關更多信息，請訪問公司的官方網站 https://3emask.com/。</p>
<p><strong>前瞻性聲明</strong></p>
<p>本公告中的某些聲明為前瞻性聲明。這些前瞻性聲明涉及已知和未知的風險和不確定性，並基於公司對未來事件的當前預期和預測，這些事件可能影響公司的財務狀況、經營結果、商業戰略和財務需求。投資者可以通過 “近似”、“評估”、“相信”、“希望”、“期待”、“預期”、“估計”、“項目”、“打算”、“計劃”、“將”、“會”、“應該”、“可能”、“或類似表達” 來識別這些前瞻性聲明。除法律要求外，公司沒有義務公開更新或修訂任何前瞻性聲明，以反映後續事件或情況，或其預期的變化。儘管公司相信這些前瞻性聲明中表達的預期是合理的，但無法保證這些預期會正確實現，並提醒投資者實際結果可能與預期結果有重大差異，並鼓勵投資者查看可能影響公司未來結果的其他因素，這些因素在公司的註冊聲明和其他向美國證券交易委員會提交的文件中有所説明。</p>
<p><strong>如需更多信息，請聯繫：</strong></p>
<p><strong>3 E Network Technology Group Limited</strong></p>
<p>投資者關係部</p>
<p>電子郵件：ird@3emask.com</p>
<p>網站：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（納斯達克代碼：MASK）首席執行官楊廷俊博士概述了公司的戰略願景，強調從空間智能向具身人工智能的轉變。在與 Aladdin Alaris AI 建立合作關係後，公司專注於硅創新和邊緣人工智能，以克服硬件瓶頸。關鍵策略包括異構計算架構、硬件與軟件協同設計以實現低延遲控制，以及構建一個多功能的泛機器人計算平台，旨在服務於老年護理和工業應用</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（全球新聞稿）——3 E Network Technology Group Limited（納斯達克：MASK）（“公司” 或 “3 E Network”），一家面向企業的（“B2B”）信息技術（“IT”）商業解決方案提供商，致力於成為下一代人工智能（“AI”）基礎設施解決方案提供商，今天發佈了首席執行官楊廷俊博士的戰略見解。在公司與總部位於加利福尼亞的先進機器人企業 Aladdin Alaris AI 最近達成戰略合作伙伴關係後，楊博士分享了 3 E Network 對服務機器人行業演變的評估，並概述了公司在基礎硅技術和更廣泛應用生態系統發展方面的戰略路線圖。</p>
</div><p><strong>Industry Insight: The Evolution from “Spatial Intelligence” to “Embodied AI”</strong></p>
<div class="lb-trans"><p><strong>行業洞察：從 “空間智能” 到 “具身 AI” 的演變</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>在談到行業趨勢時，楊博士指出：“AI 模型正在加速向邊緣遷移。未來，機器人不僅需要基本的語義理解，還需要掌握複雜的 ‘空間智能’ 和物理交互法則。”</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>“機器人技術正逐漸超越傳統的 ‘基於規則的編程’，轉向集成強化學習和 ‘模擬到現實’ 轉移的政策生成。預計機器人將演變為具備跨場景泛化和終身學習能力的 ‘先進具身 AI’ 系統，使其能夠適應多樣的商業和家庭環境。這一演變的關鍵驅動因素之一是邊緣計算密度的持續增加。3 E Network 的戰略目標是為物理世界中的智能終端提供可擴展和可靠的基礎計算支持。”</p>
</div><p><strong>Hardware Reconstruction: Silicon Innovation as the Key to Breaking Performance Bottlenecks</strong></p>
<div class="lb-trans"><p><strong>硬件重構：硅創新是打破性能瓶頸的關鍵</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>為了克服當前的計算瓶頸，首席執行官指出升級基礎硬件是必不可少的：“在處理多模態傳感器融合時，例如來自高幀率視覺、空間雷達和觸覺陣列的併發輸入，傳統的商用硅可能面臨與 ‘馮·諾依曼瓶頸’ 和 ‘內存牆’ 相關的限制，這可能導致更高的功耗和非確定性延遲。下一代具身智能的計算基礎設施不能僅依賴於雲；它必須在邊緣高效部署。”</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>認識到這一轉變，3 E Network 正在推進邊緣計算的硬件重構。“我們相信，針對多模態工作負載優化的異構計算架構和邊緣 AI SoC 是解決這些瓶頸的重要技術路徑。通過在硅級優化數據路徑，並將專用張量加速引擎與低延遲的片上 SRAM 集成，我們的設計旨在減少與數據移動相關的能耗。這預計將提高機器人環境感知的精確度和響應速度，使其能夠在受控功率預算內高效執行量化的大型語言模型和視覺 - 語言模型。硬件將真正作為支持實時機器人感知和控制的關鍵層。”</p>
</div><p><strong>Software Synergy: Reducing System Friction via “Hardware-Software” Co-design</strong></p>
<div class="lb-trans"><p><strong>軟件協同：通過 “硬件 - 軟件” 協同設計減少系統摩擦</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，楊博士強調 “全棧協同” 是釋放硬件潛力的關鍵：“在具身 AI 時代，缺乏深度耦合軟件棧的硬件往往表現不佳。傳統的堆疊系統導致 AI 模型的決策命令在中間件層之間經歷摩擦。在 3 E Network 的技術藍圖中，我們推動 ‘硬件 - 軟件協同設計’，從芯片級設計到上層算法框架。”</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>“我們正在開發的底層實時控制算法和定製編譯器旨在與我們的專有芯片實現深度的 ‘指令集級’ 集成。這種全棧優化旨在將邊緣模型生成的語義指令轉換為驅動關節電機的細粒度運動控制命令，具有低延遲。它旨在減少傳統操作系統固有的調度延遲，目標是使計算能力更高效地轉化為平滑的閉環控制機電系統。這是實現更靈敏和適應性強的機器人運動以及適應動態、非結構化環境的基礎支持。”</p>
</div><p><strong>Scenario Expansion: Building a Pan-Robotics Computing Platform</strong></p>
<div class="lb-trans"><p><strong>場景擴展：構建泛機器人計算平台</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>關於商業部署，楊博士指出：“傳統的機器人市場相對分散。開發不同的形態，例如輪式、四足或雙足人形機器人，通常涉及高額的非重複工程成本。3 E Network 致力於構建一個多功能和可擴展的基礎計算平台，以符合軟件定義機器人行業的趨勢。”</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>“老齡化人口的需求和智能醫療市場的增長代表了我們當前的商業切入點。通過由 3 E Network 的計算基礎支持的養老機器人，我們正在積極探索銀髮經濟的潛力。利用標準化的基礎計算平台和模塊化應用框架，我們的技術棧可以擴展到工業協作機器人、物流和通用人形機器人，實現跨領域泛化，擴展機器人市場的邊界。”</p>
</div><p><strong>Commercial and Ecosystem Vision: Fostering a &#34;Developer-Friendly&#34; Ecosystem</strong></p>
<div class="lb-trans"><p><strong>商業與生態系統願景：培育 “開發者友好” 生態系統</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>在總結公司的商業化路徑時，楊博士強調了開放生態系統的價值：“在人工智能計算時代，商業競爭優勢不僅僅在於硅性能，更在於一個活躍的開發者生態系統。3 E Network 正在積極與各個垂直領域的機器人企業建立合作關係。”</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>“我們最近與位於加利福尼亞的先進機器人企業 Aladdin Alaris AI 在智能醫療領域建立的戰略聯盟，是實現這一願景的重要一步。這為我們的技術在醫療相關場景中的潛在應用提供了環境，並標誌着構建開放生態系統的具體步驟。未來，我們將深化基礎芯片技術，同時提供標準化、開發者友好的中間件和工具鏈，旨在降低機器人初創企業和算法開發者的硬件集成壁壘。通過賦能行業開發者，3 E Network 努力將核心技術優勢轉化為跨經濟週期的長期企業價值。”</p>
</div><p><strong>About 3 E Network Technology Group Limited</strong></p>
<div class="lb-trans"><p><strong>關於 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 是一家致力於成為下一代人工智能（AI）基礎設施解決方案提供商的企業對企業（B2B）信息技術（IT）商業解決方案提供商。它秉持 “AI 與能源共生” 的行業共識，並在能源投資領域具有強大的願景。公司的業務主要包括兩個投資組合：數據中心運營服務投資組合和軟件開發投資組合。有關更多信息，請訪問公司的官方網站 https://3emask.com/。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性聲明</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>本公告中的某些聲明為前瞻性聲明。這些前瞻性聲明涉及已知和未知的風險和不確定性，並基於公司對未來事件的當前預期和預測，這些事件可能影響公司的財務狀況、經營結果、商業戰略和財務需求。投資者可以通過 “近似”、“評估”、“相信”、“希望”、“期待”、“預期”、“估計”、“項目”、“打算”、“計劃”、“將”、“會”、“應該”、“可能”、“或類似表達” 來識別這些前瞻性聲明。除法律要求外，公司沒有義務公開更新或修訂任何前瞻性聲明，以反映後續事件或情況，或其預期的變化。儘管公司相信這些前瞻性聲明中表達的預期是合理的，但無法保證這些預期會正確實現，並提醒投資者實際結果可能與預期結果有重大差異，並鼓勵投資者查看可能影響公司未來結果的其他因素，這些因素在公司的註冊聲明和其他向美國證券交易委員會提交的文件中有所説明。</p>
</div><p><strong>For more information, please contact:</strong></p>
<div class="lb-trans"><p><strong>如需更多信息，請聯繫：</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>投資者關係部</p>
</div><p>Email: ird@3emask.com</p>
<div class="lb-trans"><p>電子郵件：ird@3emask.com</p>
</div><p>Website: https://3emask.com/</p>
<div class="lb-trans"><p>網站：https://3emask.com/</p>
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3 E Network CEO 概述了機器人領域的戰略願景，強調硅創新和邊緣 AI | MASK 股票新聞