KAUST and NADEC have signed an MoU to collaborate on agricultural research, technology development, and professional training to enhance Saudi Arabia's food systems. The partnership aims to translate scientific insights into practical solutions for a resilient and stable food and agriculture sector. KAUST researchers will gain access to NADEC's fields to test and scale solutions. Why it matters: This collaboration between a leading research university and a major agricultural company can accelerate innovation in sustainable food production, addressing critical challenges like water scarcity and rising temperatures in the region.
The paper introduces SalamahBench, a new benchmark for evaluating the safety of Arabic Language Models (ALMs). The benchmark comprises 8,170 prompts across 12 categories aligned with the MLCommons Safety Hazard Taxonomy. Five state-of-the-art ALMs, including Fanar 1 and 2, ALLaM 2, Falcon H1R, and Jais 2, were evaluated using the benchmark. Why it matters: The benchmark enables standardized, category-aware safety evaluation, highlighting the necessity of specialized safeguard mechanisms for robust harm mitigation in ALMs.
Qatar Foundation (QF) has announced a partnership with Scale AI, a leading data platform for artificial intelligence. The collaboration aims to accelerate innovation and foster tech talent development within Qatar's AI ecosystem. This initiative will leverage Scale AI's expertise in data infrastructure and model development to support QF's research and education efforts. Why it matters: This partnership strengthens Qatar's position as an emerging AI hub by integrating global AI expertise to cultivate local talent and drive technological advancement.
The National Interest analyzes the varied strategic approaches taken by Gulf nations in forming AI infrastructure partnerships, noting that not all global tech partners are viewed equally. The article discusses how some Gulf countries prioritize specific international collaborations based on national interests and geopolitical alignments. It highlights the implications of these diverse partnerships for the region's technological development and global power dynamics. Why it matters: These strategic alliances are crucial for shaping the future of AI development and digital sovereignty in the Middle East amidst intensifying global technological competition.
The Saudi Data and AI Authority (SDAIA) has launched a national AI and data curriculum to be implemented across all universities in Saudi Arabia. The curriculum aims to equip students with essential skills in AI and data science, regardless of their field of study. The initiative is part of Saudi Arabia's broader efforts to build a skilled workforce and advance its digital transformation agenda. Why it matters: This nationwide curriculum signals a major push to develop a homegrown AI talent pool and accelerate AI adoption across various sectors in Saudi Arabia.
The Saudi Data and AI Authority (SDAIA) has launched a national AI and data curriculum to be implemented across all universities in Saudi Arabia. The curriculum aims to equip students with foundational knowledge in AI and data science, regardless of their field of study. The initiative is part of Saudi Arabia's broader efforts to develop a skilled workforce in line with Vision 2030. Why it matters: This nationwide curriculum signals a commitment to building a future-ready workforce capable of leveraging AI across diverse sectors in the Kingdom.