Hamad Bin Khalifa University (HBKU) has released Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform, built entirely at QCRI. The core of Fanar 2.0 is Fanar-27B, which was continually pre-trained from a Gemma-3-27B backbone using 120 billion high-quality tokens and only 256 NVIDIA H100 GPUs. Fanar 2.0 includes capabilities like FanarGuard, Aura, Oryx, Fanar-Sadiq, Fanar-Diwan, and FanarShaheen for moderation, speech recognition, vision understanding, Islamic content, poetry generation, and translation. Why it matters: This shows that sovereign, resource-constrained AI development in the Arabic language is possible, producing competitive systems in the region.
Hamad Bin Khalifa University's Qatar Computing Research Institute (QCRI) introduced Fanar, an Arabic-centric multimodal generative AI platform featuring the Fanar Star (7B) and Fanar Prime (9B) Arabic LLMs. These models were trained on nearly 1 trillion tokens and are designed to address different prompts through a custom orchestrator. Fanar includes a customized Islamic RAG system, a Recency RAG, bilingual speech recognition, and an attribution service for content verification, sponsored by Qatar's Ministry of Communications and Information Technology. Why it matters: The platform signifies a major step towards sovereign AI development in Qatar, providing advanced Arabic language capabilities and addressing regional needs.
Hamad Bin Khalifa University (HBKU) and the Qatar AI Center (QAI) at Qatar Computing Research Institute (QCRI) are partnering to advance AI research, policy, and capability building. The collaboration aims to support Qatar's National AI Strategy through joint research projects, knowledge exchange, and the development of AI talent. Specific areas of focus include AI ethics, healthcare, and autonomous systems. Why it matters: The partnership strengthens Qatar's AI ecosystem by combining HBKU's academic expertise with QAI's applied research capabilities, accelerating innovation and addressing key challenges in the region.
Hamad Bin Khalifa University (HBKU) and Texas A&M University at Qatar (TAMUQ) have introduced new academic programs focusing on AI, digitalization, and sustainability. HBKU will offer a Master of Science in Digital Transformation, while TAMUQ will launch Bachelor of Science degrees in AI and Sustainable Technology and Development. These programs aim to equip students with skills for Qatar's evolving technological and sustainability landscape. Why it matters: This expansion of specialized programs signals Qatar's commitment to developing a workforce capable of advancing its national priorities in technology and sustainability.
HBKU’s Qatar Computing Research Institute (QCRI) is set to host the MenaML Winter School in 2025. This annual event brings together machine learning researchers and practitioners from across the MENA region. The winter school typically features in-depth tutorials, workshops, and networking opportunities focusing on advanced topics in AI and machine learning. Why it matters: This initiative significantly contributes to fostering regional collaboration, knowledge exchange, and skill development in AI, thereby strengthening the MENA region's research and innovation ecosystem.
Dr. James She from Hamad Bin Khalifa University will give a talk on AI for Art, Culture and Heritage, covering history, trends, opportunities, and potential impacts in the Gulf region. His research focuses on AI and multimedia technologies for art, media, culture, and human creativity, with recent artworks using AI for cultural or heritage content in Arabic regions. He was also a visiting artist-in-residency at Fire Station Museum, Qatar Museums in 2020-2021. Why it matters: This lecture highlights the growing interest and applications of AI in preserving and promoting cultural heritage within the Gulf region, potentially fostering innovation in art and culture.