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How does the Military use Machine Learning ?

The history of the military gives us a clue about how profound impact technology has made on war and the defense of states and boundaries, but getting deeper, we see that those who are more technologically inclined with adequate military strategies win wars.

Taking the United States and Russia, for example, they played a leading role in stimulating defense exploration, technology was of fundamental prominence in their strategic structures for winning and continues to be so today.

 More so, both countries consciously exploited defense technology to promote wider economic prosperity and world dominance.

Although non-technological means can attribute to winning wars, military defense relies on predictable weapons enactment which becomes sensitive to technical innovations, that is, the government has to respond to technological change investing in defense research to maintain the credibility of its defense. 

topics we will touch:

  • AI drones in military
  • Machine learning recognition system in military
  • Predicting weather condition using machine learning to help military
  • Computer vision to processes satellite image in military
  • Machine learning for heathcare service and treatment
  • Use of IOT Smart security sensors in Military
  • Example of IOT sensor and machine learning algorithm in military for movement detection
  • Advancement in military with Machine learning and AI…..

Weapons powered artificial intelligence

These methods created the Advanced Research Projects Agency Network (ARPANET), an experimental computer network that was the forerunner of the Internet which was founded the United States Defense Department for easy communication in the military.

Lt. Colonel Nizam Ahmed in his work “integrating machine learning in military intelligence process” explains that the emergence of AI with Machine Learning (ML) as one of its subsets has brought a revolutionary approach to collect the surge of information

And analyzing with numerous ML algorithms to produce various intelligence summary for strategic, operational and tactical leaders both in peace and wartime.

Anyone who has flown a drone would have an idea of what Unmanned Aerial Vehicles (UAVs) are. Or played pubg, free fire.

AI drones in military

But these kinds of drones are military drones incorporated with Artificial intelligence courtesy of Machine Learning which can tour perimeters of designation, as well as identify imminent or impending dangers.

This is done via the necessary algorithms implemented for intelligence gathering and analysis, whose information is sent to a ready-to-go squad.

Therefore, employing the use of Machine Learning in UAVs upgrades the military facility and ensures adequate military personnel’s safety in and out of battle.

A Navy X-47B drone, an unmanned combat aerial vehicle

Machine learning recognition system in military

Machine Learning has also been proven to learn, trail, and identify various bull’s eyes in battle zones using recognition systems appropriating accuracy, precision, and Intel gathering in multifarious war zones processing and analyzing information.

You can try building your basic ml recognition system following this article.

Predicting weather condition using machine learning

Accurate Prediction of weather condition can help alot in military.

Machine learning enhances the probable prediction of weather conditions, potential breach of boundaries from satellite observations, enemy actions, and how to go about a mission procuring the least casualty.

Computer vision to processes satellite image in military

ML also helps in processing changes in terrain configurations and the overall course of image shoot, storage, handling, and analysis of the images using past and present sceneries autonomously.

An example is the U.S Department of Defense’s (DoD) , Defense Advanced Research Projects Agency (DARPA) Target Recognition and Adaption in Contested Environments (TRACE) using Synthetic Aperture Radar (SAR) images.

Machine learning for heathcare service and treatment

Even during battles, AI and Machine Learning are used to run distant healthcare services, such as Robotic Surgical Systems and other platforms giving treatments and withdrawing wounded soldiers out of the battlegrounds.

few most known applications of machine learning in healthcare –

  • Identifying Diseases and Diagnosis. …
  • Drug Discovery and Manufacturing. …
  • Medical Imaging Diagnosis. …
  • Personalized Medicine. …
  • Machine Learning-based Behavioral Modification. …
  • Smart Health Records. …
  • Clinical Trial and Research. …
  • Crowdsourced Data Collection

For so much to do with the use of ML, soldiers’ healthcare data are processed to help in complicated medical conditions, also referred to as Electronic Medical Record Analyzer.

With this impressive expertise, machine learning procedures access and analyze soldiers’ medical data and, design, identify and sort out health issue records.

Although we know Machine Learning to have been used at length in different countries, from their military equipment to intelligence gathering, “ML in Intelligence processes, integrates intelligence, surveillance and reconnaissance (ISR) which develops the intelligence circulation (IC) process.

Generally, it incorporates a spatial database, attribute database, case base, rule base, and a knowledge repository through which the MI process works. .

Use of IOT Smart security sensors in Military

here are some Application of IOT in military

Smart security sensors are also used in the military, incorporated with Machine Learning, they are basically controlled via the Internet of Things (IoT) and can form a comprehensive monitoring and reconnaissance network for county boundaries including environmental observation, communication, and signal breach, watching military engagements crime and intrusion detection.

Based on how sensors work and how they are used as they shared their information using a virtual network, advocating for easy data transmission in isolated territories.

Example of IOT sensor and machine learning algorithm in military for movement detection

An example of sensors that function via adaptive and intelligent learning mechanisms include the Active sensors which support several ML algorithms in movement and intrusion detection.

Although they work through radio signals from the noise field (electromagnetics) via scrutiny methods which are automated ML rules, these sensors function through corroboration learning which is often multifunctional analyzing and remunerating all itself.

Moreover, using nanotechnology, robust and resilient hi-tech Nanosensors are employed in the contemporary military which works through an accustoming and acclimatizing ML algorithm.

Here below is the ultra-wideband radar module, a medium to understand the active sensor. This sensor work using ML algorithms used for long-range, vehicle, and intrusion detection.

Radar module (www.umain.co.kr)

Using Machine Learning in defense and military forces provides a state-of-the-art modification in contemporary combat which can say to be futuristically alarming.

Advancement in military with Machine learning and AI

Now that almost all the countries in the world, especially the advanced ones, are competing to be the best militarily, there is a big door wide open for research.

Believe me, the victor of the “Machine Learning contest” probably might have more world influence than the United States has had in the past.

As data spurge out uncontrolled from every corner these days, unquestionably, we have an enormous area available for improvement in instances where information needs to be collected, analyzed, and assessed.

Without a doubt, using Machine Learning is not a mistake as critics may think because nations evolve their military intelligence gathering system using Machine Learning.

Nevertheless, I think more research is needed to ascertain the unsupervised effectiveness of Machine Learning to procure modern battle situations and ultimate and concise depiction of combat systems.

Post down your query or doubt in related topics. Hope it helps. Consider sharing.


Liao, S.-H., Sun, B.-L. & Wang, R.-Y., 2003. A Knowledge-based Architecture for Planning Military Intelligence, Surveillance,e, and Reconnaissance. Science Direct, 19 (2003) (191-202), pp. 191-202.

Nizam, U. A., 2022. Integrating Machine Learning In Military Intelligence Process: Study of Futuristic Approaches towards Human-Machine Collaboration. National Defence College E-Journal E-ISSN: 2709-9016 https://ndcjournal.ndc.gov.bd/ndcj

Chitranshu Harbola

Self taught programmer, Web Developer and an aspiring Machine learning engineer cum Data Science student

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