印度军队在Sindoor行动中使用了AI, 通过综合数据和本地技术实现94%的目标准确性。 India’s Army used AI in Operation Sindoor, achieving 94% targeting accuracy via integrated data and indigenous tech.

印度军队在Sindoor行动期间广泛部署了AI,通过利用来自无人机、卫星和传感器的实时情报,将26年的历史数据与26年的历史数据混为一谈,实现了超过94%的目标精确度。 The Indian Army deployed AI extensively during Operation Sindoor, achieving over 94% targeting accuracy by fusing 26 years of historical data with real-time intelligence from drones, satellites, and sensors. 人工智能工具使得能够精确地确定威胁的轻重缓急、预测性天气模型以及统一各服务的业务情况。 AI-powered tools enabled precise threat prioritization, predictive weather modeling, and a unified operational picture across services. 陆军利用了23个土著应用程序,包括Trinetra系统和电子情报协调工具,以加强监测、后勤和决策。 The Army leveraged 23 indigenous applications, including the Trinetra System and Electronic Intelligence Collation tool, to enhance surveillance, logistics, and decision-making. 作为2024-2025年技术推动的一部分,它正在建设一个安全、统一的AI平台,建立AI细胞,推进智能武器和自主系统,所有这些都符合国家自力更生的目标。 As part of its 2024–2025 technology push, it is building a secure, unified AI platform, establishing AI cells, and advancing smart weapons and autonomous systems, all aligned with national self-reliance goals.