The project “Frugal and Robust AI for Defence Advanced Intelligence” (FaRADAI) focusses on frugal learning, i.e. the ability of a system to adapt and learn from its’ environment, including from user supervision, for a reasonable cost and without intervention from expert developers. Within the FaRADAI project, current advances in AI technologies will be thoroughly researched in parallel with a detailed study of the main challenges imposed by a defence system.
The project “Knowledge Extraction, Machine Learning and other AI approaches for secure, robust, frugal, resilient and explainable solutions in Defence Applications” (KOIOS) will be developed around four main outputs (Simulation framework with performance computing capabilities and reduced complexity; Identification and development of use cases; Definition of a metrics specifically designed for measuring frugality, robustness, resilience; and Development of experiments built on a common protocol ensuring their reproducibility) for enhanced AI usage in defence applications.
