KAUST ·
KAUST student Adair Gallo Junior won best poster at the Water Arabia Conference. The poster presented a patent-pending technique developed in Prof. Mishra’s Group. The technique reduces water evaporation from soils. Why it matters: This award recognizes innovative research at KAUST focused on addressing critical water resource challenges in arid regions.
KAUST ·
KAUST postdoctoral fellow Adrian Galilea is working at the Catalysis Center on sustainable production of chemicals from carbon dioxide. The research involves synthesizing a catalyst for the hydrogenation of CO2 to olefins and aromatics. The new material reportedly converts CO2 to these chemicals with high selectivity and productivity. Why it matters: Developing sustainable chemical production methods could reduce reliance on fossil fuels and address climate change.
KAUST ·
Antonio Adamo is an assistant professor of bioscience in the Biological and Environmental Science and Engineering Division at KAUST. He is highlighted in a KAUST faculty focus. Why it matters: Showcases KAUST's faculty expertise in bioscience.
TII ·
The Technology Innovation Institute (TII) has appointed Dr. Leandro Aolita as Acting Chief Researcher of the Quantum Research Center (QRC) and Dr. Frederico Brito as Acting Director of the Quantum Computing Hardware Laboratories. Dr. José Ignacio Latorre will remain an external advisor for QRC while Dr. Brito maintains his professorship at the University of Sao Paulo. These appointments come as the UN declares 2025 the Year of Quantum Technology and Science. Why it matters: The leadership changes at TII's quantum research center signal continued investment in quantum technologies within the UAE and the broader region.
MBZUAI ·
Adel Bibi, a KAUST alumnus and researcher at the University of Oxford, presented his research on AI safety, covering robustness, alignment, and fairness of LLMs. The research addresses challenges in AI systems, alignment issues, and fairness across languages in common tokenizers. Bibi's work includes instruction prefix tuning and its theoretical limitations towards alignment. Why it matters: This research from a leading researcher highlights the importance of addressing safety concerns in LLMs, particularly regarding alignment and fairness in the Arabic language.
MBZUAI ·
Jorge Amador, a PhD student at KAUST's Visual Computing Center, presented a talk on physically-based simulation for generative AI models. The talk covered the use of synthetic data generation and physical priors to address the need for high-quality datasets. Applications discussed include photo editing, navigation, digital humans, and cosmological simulations. Why it matters: This research explores a promising technique to overcome data scarcity issues in AI, particularly relevant in resource-constrained environments or for sensitive applications.
arXiv ·
The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.
arXiv ·
This paper describes the MIT-QCRI team's Arabic Dialect Identification (ADI) system developed for the 2017 Multi-Genre Broadcast challenge (MGB-3). The system aims to distinguish between four major Arabic dialects and Modern Standard Arabic. The research explores Siamese neural network models and i-vector post-processing to handle dialect variability and domain mismatches, using both acoustic and linguistic features. Why it matters: The work contributes to the advancement of Arabic language processing, specifically in dialect identification, which is crucial for analyzing and understanding diverse Arabic speech content in media broadcasts.