Core42, an Abu Dhabi-based technology company and part of G42, has significantly expanded its data center capacity in the United States. The company more than tripled its US data center footprint, reaching a total capacity of 60 megawatts (MW). This expansion is aimed at meeting the increasing demand for high-performance computing essential for complex artificial intelligence workloads. Why it matters: This strategic infrastructure investment reinforces Core42's global capabilities, enabling greater scale for AI development and deployment, which is critical for supporting advanced AI models and services.
The UAE government has launched an AI-powered skills platform designed to equip its national workforce with future-ready capabilities. This initiative aims to address evolving job market demands by identifying skills gaps and recommending personalized learning paths. The platform is expected to connect individuals with relevant training and development opportunities across various sectors. Why it matters: This launch underscores the UAE's strategic commitment to leveraging AI for human capital development and enhancing its long-term economic competitiveness.
Saudi Arabia plans to integrate artificial intelligence education into its national school curriculum starting in 2025. This initiative aims to provide over 6 million students with AI knowledge and skills across the Kingdom. The program is part of Saudi Arabia's broader strategy to enhance digital literacy and prepare its youth for future technological demands. Why it matters: This national-level commitment to early AI education positions Saudi Arabia as a leader in developing a future-ready workforce and a robust AI ecosystem in the Middle East.
The UAE has launched a national project focused on integrating Artificial Intelligence and robotics to significantly enhance labour market productivity. This initiative aims to leverage advanced technologies to streamline operations and improve efficiency across various economic sectors. The project is expected to drive economic growth and prepare the workforce for future technological demands. Why it matters: This strategic move underscores the UAE's commitment to technological adoption as a cornerstone of its economic diversification and human capital development strategy.
Saudi Arabia plans to integrate artificial intelligence education into its national school curriculum starting in 2025. This initiative aims to equip over 6 million students across the Kingdom with foundational AI knowledge and skills. The program is part of the country's broader strategy to enhance digital literacy and prepare its youth for future technological demands. Why it matters: This large-scale educational reform positions Saudi Arabia as a leader in AI education in the region, fostering a future workforce skilled in emerging technologies and supporting its Vision 2030 goals.
The UAE has revised its framework for evaluating higher education institutions, shifting focus from traditional metrics to academic outcomes. The updated framework specifically emphasizes the preparedness of universities for the age of artificial intelligence. This policy change aims to align the nation's educational standards with future technological advancements and economic demands. Why it matters: This strategic update signifies the UAE's commitment to integrating AI capabilities and future-ready skills directly into its higher education system, essential for developing a skilled local workforce and fostering innovation.
Saudi Arabia has launched the Hexagon Data Center in Riyadh, a new facility boasting a substantial capacity of 480 megawatts. This major infrastructure project aims to significantly enhance the kingdom's digital capabilities. The center is designed to support the growing demands for data processing and storage within the region. Why it matters: This launch represents a critical investment in foundational digital infrastructure, essential for enabling advanced AI development, cloud computing services, and broader digital transformation initiatives across the Middle East.
Researchers introduced CAMMAR (Culture-Aware Matryoshka for Metaphorical Arabic Representations), a framework designed to organize meaning in Arabic language models into nested lexical, cultural, and metaphorical embedding subspaces, addressing the issue of "semantic smearing." The framework, inspired by Al-Jurjani's theory of nazum, provides a training-free geometric measure of metaphoricity. Evaluated on a new span-annotated Arabic metaphor dataset, CAMMAR achieved an AUC of up to 0.84, effectively detecting metaphor when inter-layer geometry was shaped by paired supervision. Why it matters: This research offers a novel approach to enhancing the cultural and metaphorical understanding of Arabic AI, potentially leading to more nuanced and accurate Arabic language models.