In the recently held symposium on AI for Air Warriors in New Delhi, the Indian Air Force’s (IAF) Air Chief Marshal RKS Bhadauria’s statement reflected the high level of professional approach being taken by IAF in implementing the Artificial Intelligence (AI) concepts for the Air Force.
The other contributing expert speakers from India and abroad highlighted various AI solutions being designed and developed in the context of Air Combat operations
The e-symposium was organized by Society for Aerospace, Maritime and Defence Studies (SAMDeS) in collaboration with the industry body FICCI.
AI for IAF Missions
The information received from heterogeneous sources is fused to enhance the detection capability and early identification of target(s). Multi-platform multi-sensor data fusion is the key technique for achieving information superiority over the adversary. For any effective and efficient AI application, an AI based Decision Support Systems (DSS) architecture needs to emerge for the complex Air combat operation environment.
It emerges that the latest generation fighter jets like F-35 are predominantly software-centric (up to 90%) for target detection, target categorization, tracking and target engagement activities. In today’s Air Combat scenarios, it is humanly impossible for a pilot to process the enormous amount of high-speed data being generated by multiple sensors. This kind of activity can only be undertaken by high-end processors manufactured for hard Real-time architecture and running on RTOS (Real Time Operating System).
The OODA (Observe, Orient, Decide, Act) loop is the fundamental basis of any C4I (Command, Control, Communication, Computers and Intelligence) and it is feasible to implement AI at various points in this concept