The presentation is about the use case of artificial intelligence in weapon systems. It focuses on the AI technologies that are used in weapons and drive innovation in military hardware while changing the battlefield scenario.

1. AI IN WEAPONS
ANIKET SINGH CHAUHAN
Semester 4, MACJ

2. “The relationship
between science and
the military is as
old as time”

3. CONTENTS

4. HYPERPERSONALISATION

5. HYPERPERSONALISATION
Hyperpersonalization in AI is the creation of individual profiles and adapting
them over time for personalized experiences.
It treats each person uniquely to tailor content, recommend products, and
provide personalized suggestions.
Flipkart recommending products based on your choices
Youtube, Instagram & X personalising your feeds
In military applications, hyperpersonalization can use neural networks to
analyze UAV data for target identification and real-time recommendations to
commanders.

6. EXAMPLES
MQ-28 Ghost Bat
Taranis
S-70 Okhotnik-B
CH-5 Rainbow
Hermes 900/Drishti 10
HYPERPERSONALISATION
TERRAIN
WEATHER
ENEMY LOCATIONS
ANALYSIS
TARGETS
DEPLOYMENT
SUGGESTS
MOVEMENT
RQ-4 Global Hawk

7. PATTERN RECOGNITION

8. PATTERN
RECOGNITION
Pattern recognition is a computational method in AI and machine learning to
identify patterns in data.
Fingerprint security usage
Voice recognition and cloning
Google Image search is based on this
It involves the automatic detection of irregularities or anomalies in data by
training the AI model on supervised or unsupervised data.
Supervised Data - Trained on patterns with labels
Unsupervised Data - Trained on patterns without labels
This category of AI has various applications in the armed forces.

9. PATTERN
RECOGNITION EXAMPLES
Spy 7
Cheolmae-2
NASAMS
Air Defence Tactical
Control Radar
Radars with IFF
(Identification of Friend or
Foe) systems analyse the
anomalies and patterns via
the electronic signals emitted
by the aircraft when
prompted by the radar.
Air Defence Tactical Control Radar

10. GOAL DRIVEN SYSTEMS

11. GOAL
DRIVEN
SYSTEMS
Goal-Driven Systems (GDS) Pattern is used to find optimal solutions to
problems by defining and pursuing specific goals.
These systems operate based on the concept of goal-driven autonomy (GDA),
where autonomous agents prioritize actions based on their current goals and
purposes.
Google Assistant and Siri are examples of this
This technology is also extensively used in the creation of NPCs in video
games with specific goals.
The Goal-Driven Systems Pattern is valuable in managing unexpected events
and dynamic environments efficiently, making it particularly useful in military
operations and other complex scenarios.

12. GOAL
DRIVEN
SYSTEMS
Guided missile systems like
BrahMos (of India) use GDS to set
a target and hit it with utmost
accuracy.
The missile system locks up a
target and then autonomously
decides the route and speed to hit
the target.
The Turkish Kargu-2 quadcopter
drone can single out pre-
determined human targets and
attack them.
The drone used GDR in addition to
pattern recognition technology.

13. PREDICTIVE ANALYSIS

14. Predictive analysis identifies patterns & relationships for making predictions.
The main goal is to forecast future outcomes based on historical data.
Used for risk assessment by predicting potential risks and likelihood of events.
Applied in finance, marketing, healthcare, cybersecurity, and manufacturing
for various predictions.
The Meteorological department extensively uses predictive analysis for
weather forecasting
E-commerce websites use this to recommend the next product to you.
Auto playlists use this tech to predict the next song you want to listen to.
Used in the military to predict the maintenance and failure cycle of the
equipment to increase serviceability.
PREDICTIVE
ANALYSIS

15. PREDICTIVE
ANALYSIS
Bradley M2A3 assault vehicle
Predictive Analytics
Software
SENSOR DATA
PERFORMANCE DATA
USAGE DATA
ANALYSIS
MAINTENANCE SCHEDULE
SYSTEM FAILURES
PREDICTS
SPARE PARTS NEEDED
PILOT ERRORS
EQUIPMENT STATUS
MAINTENANCE ACTIONS
ANALYSIS
MISSION CAPABILITY
READINESS
IMPROVES
LOWER COSTS
PARTS REPLACEMENT PATTERNS
ENGINE PERFORMACE
F-35 Lightning II

17. Systems that use artificial intelligence, machine learning and sensors to
operate without direct human intervention are called Autonomous Systems.
Autonomous systems are quite complex and thus, use nearly all the previous
systems mentioned in the presentation for better task accomplishments.
We have been using autonomous in our everyday lives for quite some time.
Examples include: -
Driverless metro of Delhi Metro’s Magenta Line
Autonomous vehicles like the Tesla Model S
Automatic cleaning robots
Autopilot modes in aeroplanes, etc.
Autonomous systems have been used in armed forces around the world for
quite some time.
AUTONOMOUS
SYSTEMS

18. Phalanx CIWS
AUTONOMOUS
SYSTEMS
Samsung SGR A1
Tracking System
EM CCD Camera
Infrared Illuminator
Laser Finder
Gun Barrell
Surveillance System
EM-CCD Camera
Infrared Camera
Search Antenna
FLIR Camera
Gun Barrell
Low Sidelobe Track
Antenna

19. ETHICAL
CONSIDERATIONS
How autonomous can AI weapons
be?
Lack of Human emotions and
empathy
Failures and Mishaps
Who’s accountable?
More AI and robots in war reduces
the human cost of war; increasing
its probability

20. THANK YOU
Aniket Singh Chauhan
Sem 4, MACJ | AJK MCRC