Saudi Arabia and France are strengthening their technological and research collaborations. This partnership aims to boost innovation, with a particular focus on advancements in artificial intelligence. The initiative seeks to foster deeper ties between institutions and experts from both nations across various tech domains. Why it matters: This strategic alliance can accelerate AI innovation and capacity building within Saudi Arabia and the broader Middle East through international knowledge transfer and joint projects.
Deloitte Middle East and KAUST have signed an MoU to collaborate on AI applications in Saudi Arabia. The partnership aims to bridge the gap between AI research and business applications, aligning with Saudi Vision 2030. Joint projects will address AI challenges, develop talent through training programs, and focus on knowledge transfer and ethical AI governance. Why it matters: This collaboration accelerates AI innovation in Saudi Arabia by combining global expertise with local knowledge, fostering economic and societal impact.
Researchers introduce a benchmark to evaluate the factual recall and knowledge transferability of multilingual language models across 13 languages. The study reveals that language models often fail to transfer knowledge between languages, even when they possess the correct information in one language. The benchmark and evaluation framework are released to drive future research in multilingual knowledge transfer.
The paper introduces ALLaM, a series of large language models for Arabic and English, designed to support Arabic Language Technologies. The models are trained with language alignment and knowledge transfer in mind, using a decoder-only architecture. ALLaM achieves state-of-the-art results on Arabic benchmarks like MMLU Arabic and Arabic Exams. Why it matters: This work advances Arabic NLP by providing high-performing LLMs and demonstrating effective techniques for cross-lingual transfer learning and alignment with human preferences.
The Advanced Materials Research Center (AMRC) has announced strategic partnerships with institutions including the University of Sheffield, Khalifa University, and McGill University. These partnerships include visiting scholar fellowships, graduate programs with internships, and dual-degree programs. These initiatives aim to foster collaboration between AMRC experts and students from around the world, providing access to resources, mentorship, and financial support. Why it matters: This collaboration will strengthen Abu Dhabi's innovation ecosystem and R&D sectors through global knowledge transfer and talent development.
The Kuwait Foundation for the Advancement of Sciences (KFAS) and the U.S. National Academies of Sciences, Engineering, and Medicine (NASEM) concluded a precision medicine program in Washington. The initiative aimed to boost scientific cooperation between Kuwait and the U.S., focusing on knowledge exchange and fostering collaborations in the precision medicine field. Scientists from both nations participated, discussing research priorities and future joint initiatives to advance healthcare innovation. Why it matters: This program strengthens Kuwait's capacity in an AI-intensive healthcare domain and promotes international scientific partnerships crucial for regional technological advancement and knowledge transfer.
KAUST signed an MoU with MISA and Novo Nordisk at the Riyadh Global Medical Biotechnology Summit 2023. The agreement aims to address healthcare challenges in Saudi Arabia and develop the biotech and pharma sector through knowledge transfer and research. A key objective is to establish a Novo Nordisk Center of Excellence focused on obesity and metabolic research. Why it matters: The partnership will boost Saudi Arabia's Vision 2030 goals of creating tech-driven industries and improving health outcomes through biotechnology.
Researchers from Princeton University and Qatar Computing Research Institute (QCRI) are collaborating on artificial intelligence and deep learning projects. The partnership aims to leverage the expertise of both institutions to advance AI research. Specific project details or outcomes were not disclosed in the provided text. Why it matters: International collaborations of this nature can help foster innovation and knowledge transfer in the rapidly evolving field of AI.