What AI Technology Has Been Used In Operation Sindoor?
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What AI Technology Has Been Used In Operation Sindoor?

by Bharat Kumar — 7 months ago in Artificial Intelligence 3 min. read
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In the light of the fact of Operation Sindoor’s precision strike carried out by Indian Air Force against terror infrastructure across the border has been achieved through a series of an advanced weaponry system, real-time intelligence analysis, and loitering munitions including the use of AI technology.

I will talk about AI technologies that might has been used in nullifying the operation. It might be possible to say that AI algorithms has been used in real-time intelligence analysis, data visualization, training, etc.

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Is There Any AI Technology Used For Operation Sindoor?

Yes, it might appears that AI technology played a role in Operation Sindoor, not actually being in action but through its application in visualizing the operation and potentially in other aspects of the strike. Following are the possible areas of AI implementation:

1. AI Visualization

One source clearly says that an AI-made video was used to show how Operation Sindoor might have been carried out with precision and control.

2. Real-time Intelligence and Analysis

News18 highlight the importance of real-time intelligence and coordination between military branches, suggesting that AI may have been used to analyze data for a clearer view of the operation.

3. Advanced Weaponry

Indeed, advanced weaponry system has been used in the operation. This can be concluded by observing the precision of the strikes which likely includes technologies that incorporate AI for target identification, trajectory calculation, and other scenarios.

4. Loitering Munitions

Precision weapons that hover over target areas to find and strike targets, often using autonomous or AI-assisted systems. This points to the advanced technology used in the operation.

!

What is Precision Strike Weapon System?

In short, PSWS means a military weapon system built to strike specific targets like positions or structures with high accuracy, while minimizing harm to nearby areas and civilians.

These weapons use advanced guidance, surveillance, and targeting tech to hit from long distances with precision. Moreover, this system uses GPS, laser, radar, or infrared guidance and combines data from drones, satellites, or radar to identify targets and strike them with pinpoint accuracy.

Safety Guides For The Use Of AI In Defense Industry

Imagine a world where lethal forces are majorly controlled by AI. This could be devastated for human. In alternative terms, AI should not be used for open ended tasks that could lead to unintended consequences.

Here are few explanation of Safety Guidelines for Using AI in the Defense Industry.

  • AI should be deployed with specific, well-defined goals such as surveillance, threat detection, logistics, or decision support.
  • AI systems must include a human decision-maker in critical operations, especially those involving lethal force.
  • AI decisions must be explainable to operators. For example; if AI flags a vehicle as a threat, it should also show the data and logic behind that classification.
  • Most importantly, AI models should be trained on diverse, verified data to reduce bias and increase reliability.
  • AI systems should undergo routine performance assessments, software updates, and ethical evaluations.
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Future Of AI Technology In Defense Industry

Well, the present aspects of AI technology in defense sector gives glimpse of its bright future with autonomous weapons, human-machine teaming, and perfect simulations.

Artificial Intelligence will increasingly power autonomous drones, tanks, submarines, and aircraft, capable of navigating, targeting, and engaging enemies with limited human input.

Ending notes, with stronger AI algorithms, future defense strategy will include stronger ethical governance and transparency measures.

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Bharat Kumar

Bharat is a content editor at The Next Tech for the past 3 years. He is studying Generative AI (GenAI) from Analytics Vidhya and share his learnings by writing on Generative Engines, Large Language Models, and Artificial Intelligence. In addition to his editorial work, Bharat is active on LinkedIn, where he shares bite-sized updates and achievements. Outside work, he’s known as a Silver‑rank Valorant player, reflecting his competitive edge and strategic mindset.

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