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KAUST collaborates with Islamic Development Bank for aquaculture capacity in member countries

KAUST ·

KAUST hosted representatives from Islamic Development Bank (IsDB) member countries to showcase its aquaculture expertise. The IsDB funded the visit, with co-investment from Innovative Contractors for Advanced Dimensions (ICAD), to introduce KAUST's aquaculture technology to representatives from Morocco, Mali, Burkina Faso and Egypt. The visit aimed to accelerate aquaculture capabilities in North and West Africa, with ICAD pledging up to $20 million in grants for future projects using KAUST technology. Why it matters: This collaboration demonstrates KAUST's role as a regional hub for advanced aquaculture technology and promotes sustainable food production in IsDB member countries.

KAUST hosts 15th General Conference of The World Academy of Sciences

KAUST ·

KAUST hosted the 15th General Conference of The World Academy of Sciences (UNESCO-TWAS) virtually from November 1–4, 2021, in collaboration with the Islamic Development Bank (IsDB). The conference focused on the role of scientific research in enhancing human well-being and featured speakers from KAUST, Saudi ministries, UNESCO, and other international organizations. Participants engaged with KAUST faculty and discussed topics such as financing science, technology, and innovation for the Sustainable Development Goals (SDGs). Why it matters: This event highlights KAUST's role as a hub for international scientific collaboration and its commitment to advancing research and development in the region.

NBK and Zain inks agreement with KFAS to launch a digital program - intlbm

Kuwait AI ·

National Bank of Kuwait (NBK), Zain Group, and the Kuwait Foundation for the Advancement of Sciences (KFAS) have signed an agreement to launch a digital program. The initiative aims to support digital transformation and innovation in Kuwait. The program will likely focus on training and developing digital skills. Why it matters: This partnership signifies a growing commitment to fostering technological advancement and digital literacy within Kuwait's key sectors.

Observing Eid with our neighbors

KAUST ·

This is an announcement from KAUST wishing readers well for Eid. It includes a picture of King Abdullah. It states that all rights are reserved. Why it matters: This is a routine announcement from a major regional university.

AraFinNLP 2024: The First Arabic Financial NLP Shared Task

arXiv ·

The AraFinNLP 2024 shared task introduced two subtasks focused on Arabic financial NLP: multi-dialect intent detection and cross-dialect translation with intent preservation. It utilized the updated ArBanking77 dataset, containing 39k parallel queries in MSA and four dialects, labeled with 77 banking-related intents. 45 teams registered, with 11 participating in intent detection (achieving a top F1 score of 0.8773) and only 1 team attempting translation (achieving a BLEU score of 1.667). Why it matters: This initiative addresses the need for specialized Arabic NLP tools in the growing Arab financial sector, promoting advancements in areas like banking chatbots and machine translation.

New research to boost global date fruit production

KAUST ·

KAUST researchers are undertaking a project to improve global date palm production and protection by studying the date palm genome, collecting samples from ancient palms near Madinah. They aim to develop new breeding strategies for faster, healthier, and more pest-resistant palms. The research involves advanced genome sequencing and the creation of molecular tools to improve date palm agriculture, including rapid sex determination methods and gene editing. Why it matters: This research is critical for enhancing date production in arid regions like Saudi Arabia, which is a major global producer, and for ensuring food security amidst climate challenges.

Quranic Conversations: Developing a Semantic Search tool for the Quran using Arabic NLP Techniques

arXiv ·

Researchers developed a semantic search tool for the Quran using Arabic NLP techniques. The tool was trained on a dataset of over 30 tafsirs (interpretations) of the Quran. Using the SNxLM model and cosine similarity, the tool identifies Quranic verses most relevant to a user's query, achieving a similarity score of up to 0.97. Why it matters: This tool could significantly improve access to the Quran's teachings for Arabic speakers and researchers, providing a valuable resource for religious study and understanding.