The AI Foundations and Systems group advances the core building blocks of artificial intelligence—spanning machine learning algorithms, data systems, and visual intelligence—to make them more robust, efficient, and adaptable. The group’s mission is to develop and optimize the fundamental methods that power a broad range of AI applications, from humanitarian response to educational innovation, ensuring these systems perform reliably in complex, real-world environments.
Focuses on improving the efficiency, scalability, and reliability of core AI models and algorithms. By optimizing training, architectures, and computation, this subgroup enables robust, high-performance AI adaptable to complex, data-driven tasks.
Advances intelligent data systems for AI, with emphasis on smart infrastructure for retrieval-augmented generation (RAG). Through better data organization and retrieval, this subgroup enhances AI’s ability to access, integrate, and apply information effectively.
Qatar’s first Arabic generative AI platform, built for the Arabic-speaking world. Fanar is a large language model (LLM) that understands and generates Arabic with depth, accuracy, and cultural sensitivity, supporting education, research, government, creative industries.