🇺🇸 美國海軍尋求 AI 工具以提升資料處理與資源分配效率

DIU 在5月22日發布的公告中表示，該計畫名為「透過智慧學習系統提升態勢感知」（Situational Awareness by Intelligent Learning Systems, SAILS），旨在處理來自太空、海上、空中以及情報報告等多來源的大量資料，協助指揮官做出關鍵的資源配置決策。

MOCs 作為海軍系統的後勤中心，提供從工程到維修等各項支援。引入新的 AI 工具可為操作人員提供更深入的見解，協助指揮官決定如何最佳地分配全球海軍系統的資源。

此舉是海軍應對來自中國等對手威脅的戰略之一。根據海軍去年9月發布的導航計畫，海軍計劃在2027年前整合經驗證的機器人與自主系統，供指揮官日常使用。

DIU 的徵案中列出具體應用，包括：

簡化審批流程和標準化資料輸入的工作流程自動化工具。
評估平台性能的機器學習模型。
考慮地理限制和感測器可靠性的資源配置建議應用程式。

DIU 強調，提案應具備用戶友好性，並採用模組化設計，以便與現有和未來的國防部系統整合。

🔍 三大觀察重點

AI 加速多源資料處理，提升決策效率
- 海軍透過 SAILS 計畫，引入 AI 工具以處理來自太空、海上、空中及情報等多來源的大量資料，協助指揮官做出更快速、準確的資源配置決策。
模組化設計促進系統整合與擴展性
- DIU 要求提案具備模組化設計，確保新工具能與現有及未來的國防部系統無縫整合，提升系統的靈活性與擴展性。
AI 應用涵蓋工作流程自動化與性能評估
- 徵案內容包括簡化審批流程的自動化工具、評估平台性能的機器學習模型，以及考慮地理限制和感測器可靠性的資源配置建議應用程式，全面提升作戰支援效率。

🌐 地理位置標示（GPS）

美國國防創新單位（Defense Innovation Unit）總部
- 緯度：37.4141° N
- 經度：-122.0776° W

🇺🇸 U.S. Navy Seeks AI Tools to Enhance Data Processing and Resource Allocation

U.S. Navy is collaborating with the Defense Innovation Unit (DIU) to explore artificial intelligence (AI) and machine learning (ML) solutions aimed at accelerating data processing at Maritime Operations Centers (MOCs) and optimizing resource distribution.

In a notice published on May 22, DIU announced the launch of the “Situational Awareness by Intelligent Learning Systems” (SAILS) program, which seeks AI and ML applications capable of rapidly processing vast amounts of multi-source data collected from space, sea, air, and intelligence reports to assist commanders in making critical resource allocation decisions.

MOCs serve as logistical hubs for maritime systems, providing support ranging from engineering to maintenance. The integration of new AI tools is expected to offer operators enhanced insights, aiding commanders in determining optimal resource distribution across the Navy’s global systems.

This initiative aligns with the Navy’s strategic efforts to counter threats from adversaries like China. According to the Navy’s Navigation Plan released in September of the previous year, there is an emphasis on integrating proven robotic and autonomous systems for routine use by commanders by 2027.

Specific applications outlined in DIU’s solicitation include:

Workflow automation tools to streamline approvals and standardize data entry.
Machine learning models to evaluate platform performance.
Applications providing resource allocation recommendations that consider factors such as geographic constraints and sensor reliability.

DIU emphasizes that proposed applications should be user-friendly for MOC operators and designed modularly to ensure compatibility with a range of current and future Department of Defense systems.

🔍 Three Key Takeaways

AI Accelerates Multi-Source Data Processing for Enhanced Decision-Making
- Through the SAILS program, the Navy aims to leverage AI tools to process vast amounts of data from various sources, enabling commanders to make faster and more accurate resource allocation decisions.
Modular Design Facilitates System Integration and Scalability
- DIU requires proposals to feature modular designs, ensuring that new tools can seamlessly integrate with existing and future Department of Defense systems, enhancing system flexibility and scalability.
AI Applications Span Workflow Automation and Performance Evaluation
- The solicitation includes applications that automate workflows, assess platform performance using machine learning models, and provide resource allocation recommendations considering geographic constraints and sensor reliability, thereby improving operational support efficiency.