MBZUAI concluded the second edition of its Global AI Leadership Program (GAILP), which brought together 36 senior decision-makers from UAE government, industry, and innovation. The five-day program featured MBZUAI faculty and guest speakers such as H.E. Omar Sultan Al Olama and ADNOC VP Majed Al Fulaiti. Sessions covered AI fundamentals, data-driven prediction, governance, and human-machine collaboration, with emphasis on practical decision-making. Why it matters: The program aims to equip UAE leaders with the knowledge to lead in an AI-driven world, promoting responsible AI integration across sectors.
MBZUAI has completed the second edition of its Global AI Leadership Program (GAILP), designed to equip senior UAE decision-makers with the knowledge to lead in an AI-driven environment. The five-day program included leaders from government, industry, and the innovation ecosystem, with sessions focusing on AI fundamentals, data-driven prediction, workforce transformation, and governance. Participants also discussed the ethical considerations for AI usage.
MBZUAI concluded its inaugural Global AI Leadership Program (GAILP) in Abu Dhabi, hosting 46 participants from UAE's public and private sectors. The program, delivered by The Academy, featured insights from faculty at MBZUAI, MIT Sloan, NYU, and industry experts from ADNOC and Palantir. UAE Minister Omar bin Sultan Al Olama presented at the event, emphasizing the importance of AI understanding for decision-makers. Why it matters: The program aims to equip UAE leaders with the knowledge to drive AI adoption and transformation across sectors, reinforcing Abu Dhabi's position as a global AI leader.
Researchers at the Rosalind Franklin Institute are using generative AI, including GANs, to augment limited biological datasets, specifically mirtron data from mirtronDB. The synthetic data created mimics real-world samples, facilitating more comprehensive training of machine learning models, leading to improved mirtron identification tools. They also plan to apply Large Language Models (LLMs) to predict unknown patterns in sequence and structure biology problems. Why it matters: This research explores AI techniques to tackle data scarcity in biological research, potentially accelerating discoveries in noncoding RNA and transposable elements.
Dr. Teresa Lynn from Dublin City University (DCU) discussed the challenges in developing NLP tools for Irish, a low-resource language facing digital extinction. She highlighted the lack of speech and language applications and fundamental language resources for Irish. Lynn also mentioned her work at DCU on the GaelTech project and her involvement in the European Language Equality project. Why it matters: The development of NLP tools for low-resource languages like Irish is crucial for preserving linguistic diversity and preventing digital marginalization in the AI era.
The paper introduces ALPS (Arabic Linguistic & Pragmatic Suite), a diagnostic challenge set for evaluating deep semantics and pragmatics in Arabic NLP. The dataset contains 531 expert-curated questions across 15 tasks and 47 subtasks, designed to test morpho-syntactic dependencies and compositional semantics. Evaluation of 23 models, including commercial, open-source, and Arabic-native models, reveals that models struggle with fundamental morpho-syntactic dependencies, especially those reliant on diacritics. Why it matters: ALPS provides a valuable benchmark for evaluating the linguistic competence of Arabic NLP models, highlighting areas where current models fall short despite achieving high fluency.
Researchers from the Directed Energy Research Center (DERC) will present research papers at the 17th Workshop of the International Lithosphere Program Task Force on Sedimentary Basins in Abu Dhabi. Dr. Meixia Geng's study identifies potential geothermal exploration sites in the UAE based on Curie isotherm depths. Dr. Felix Vega's research demonstrates drone-borne synthetic aperture radar (SAR) for subsurface mapping of underground cavities. Why it matters: These studies showcase the UAE's commitment to sustainable development through geothermal energy exploration and advanced subsurface imaging techniques.