【5月5日】看軍聞學英語

■林國賓

原文：

Project Maven is at the center of the US strikes against Iran and potentially one of the most consequential transformations of modern warfare.

Project Maven is the Pentagon's flagship artificial intelligence program, launched in 2017 as a narrow experiment to help military analysts make sense of the torrent of drone footage pouring in from conflict zones.

Operators were drowning in imagery, searching frame by frame for objects of interest that might appear for only a moment before vanishing. Maven was built to find the needle in the haystack.

Eight years later, the program has evolved into something far more expansive: an AI-assisted targeting and battlefield management system that has vastly accelerated what is known in war-making as the kill chain - the process from initial detection to destruction.

Maven functions like both the air traffic control of battle and its cockpit.

In practice, that means rapidly scanning satellite feeds to detect troop movements or identify targets, while also "taking a snapshot of the operational theater" to determine the best course of action for striking a specific target.

中譯：

「梅文計畫」是美國對伊朗空襲的核心，也可能成為現代戰爭中最具影響力的轉型之一。

「梅文計畫」為五角大廈於2017年啟動的旗艦人工智慧（AI）計畫，最初是一項小規模實驗，旨在協助軍事分析師處理從衝突區湧入的無人機影像洪流。

操作人員面對海量影像，不得不逐幀搜尋可能只出現片刻的目標。梅文的設計理念就是「在草堆裡尋針」。

8年後，該計畫已發展成更廣泛的系統：一套由AI輔助的目標鎖定與戰場管理系統，大幅加快所謂的「擊殺鏈」—從目標偵測到摧毀的完整流程。

梅文既像戰場的空中交通管制，也像戰鬥駕駛艙。

實際運作中，它能快速掃描衛星影像以偵測部隊動向或識別目標，同時「拍攝戰場快照」，以決定對特定目標的最佳打擊方案。

-關鍵軍語-

※targeting：目標鎖定

※kill chain：擊殺鏈