Google has awarded $100,000 in seed research grants to KAUST's CEMSE faculty to advance multilingual, multimodal machine learning, fostering innovations in areas like health and education, with projects led by Tareq Al-Naffouri, Mohamed Elhoseiny, and Bernard Ghanem aimed at enhancing mobile networks and developing inclusive AI models.
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Google announced $100,000 in seed research grants to AI researchers at King Abdullah University of Science and Technology ( KAUST) faculty in Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) to advance research in multilingual, multimodal machine learning, specifically in the use of generative and large language models (LLMs). The researchers will advance research in topics including health, cross-cultural language understanding, sustainability, privacy and education.
Commenting on the launch, Sarah Al Husseini, Google’s Head of Public Policy in Saudi Arabia, said "Google is committed to empowering local researchers and institutions to introduce relevant solutions to users, businesses and governments in an AI-first world. By investing in pioneering research with KAUST, we hope to continue fostering multilingual, multimodal machine learning breakthroughs that will benefit the region and beyond."