Artificial Intelligence in Defence
When a software works properly as per the command it is said to be a good software. However, if the software adopts the environment, makes the right decisions, and works as the instructions, it is called the artificial intelligence achieved. There has always been a heated debate about whether to use AI in sensitive sectors.
When the matter is about national security high accuracy, robustness, and security are at the highest priority. That is where the AI comes into the scene.
There are mainly 3 domains where AI is working in the defense sector
- Surveillance
- Advancements in weapons
- Smart strategy systems
AI in surveillance
The power of processing data that AI has, is far more accurate, faster, and robust than that of humans. Surveillance can be of two types, digital surveillance and physical surveillance.
Digital Surveillance:
In the era, where everyone is in the digital world and using social media, it is very important to keep an eye on cyber threats, sensitive media, and deep fakes. For this, one solution is to keep a
Physical Surveillance:
Finding anomaly activities using cameras can be tricky and time-consuming, so AI scientists developed an algorithm called “Threat Detection”, that detects offensive behavior using a computer vision algorithm. This algorithm takes video as input and the frames pass through a convolution neural network, and that neural network classifies the activities and labels it as threatening or normal.
Advancement in weapons:
Industry advances in computer vision have been essential. Shield AI lets drones operate without GPS, communications, or even remote pilots. It’s the key to its Nova, a quadcopter, which U.S. special operations units have used in conflict areas to scout buildings. Improved accuracy and fast decisions, give the best integration for weapons.
Smart Strategy Systems:
Making the right decisions, in critical times is a matter of speed and overall view. AI gives the power to analyze different scenarios and different approaches regarding past experiences. Using the Large Language Model (LLM), many conversational AIs are in the market. An LLM is a model trained to provide conversational assistance on particular problems. In defense, the models are trained on the data, and the model provides robustness, parallel processing, and security.
