Artificial intelligence has infiltrated practically every civilian industry imaginable. It has changed the way people and businesses work, and it is now swiftly becoming a necessary component of modern combat.
One of the criteria that determines how powerful a country is the strength of its army. When compared to other parts, investment in this industry is the largest in some of the most developed countries. A significant portion of this investment is dedicated to rigorous research and development in current technologies, such as artificial intelligence (AI) in military applications. AI-enabled military devices are able to efficiently handle large amounts of data. Furthermore, due to their enhanced computation and decision-making skills, such technologies have improved self-regulation, self-control, and self-actuation.
Applications of AI in Defence
Training
Training and simulation are diverse fields that employ system and software engineering ideas to create models that can assist soldiers in training on different fighting systems used in actual military operations. Various sensor simulation programmes have already been launched by the US Navy and Army.
Furthermore, augmented and VR technology techniques can be used to construct training simulations that are effective, authentic, and dynamic. Both virtual entities and human soldiers can benefit from the reinforcement tactics.
Surveillance
AI combined with geospatial analysis can aid in the extraction of useful information from linked devices like radars and autonomous identification systems. This data can aid in the detection of any unlawful or suspicious activity, as well as alerting the appropriate authorities. Target recognition and classification can also be aided by AI-enabled robots and IoT-enabled computer vision.
Ammunition and Arms
AI-enabled technology is now incorporated in new-age weaponry. Advanced missiles, for example, can estimate and examine the target level for kill zones without the need for human participation.
Cybersecurity
After land, sea, and air, cyberspace is currently regarded as the third war front in military circles. A hacked and malevolent network might jeopardise the security of the entire region. Machine learning is being used by defence agencies to forecast and protect against unauthorised intrusions. In most cases, intrusion detection is accomplished by categorising the network as either normal or invasive. Artificial intelligence (AI)-based techniques aid in improving the accuracy of such categorization.
