KAUST's Clean Combustion Research Center (CCRC) is expanding its Cloudflame database, a platform providing computational tools and scientific data for combustion research. Cloudflame offers features like flame speed calculations, ignition delay simulation, and a Fuel Design Tool to formulate fuel mixtures. The platform allows researchers to compare findings, perform computations remotely, and receive results via email. Why it matters: Cloudflame fosters global collaborations and accelerates advancements in clean combustion technologies, crucial for energy saving and environmental conservation in the region and worldwide.
This paper introduces a unified deep autoregressive model (UAE) for cardinality estimation that learns joint data distributions from both data and query workloads. It uses differentiable progressive sampling with the Gumbel-Softmax trick to incorporate supervised query information into the deep autoregressive model. Experiments show UAE achieves better accuracy and efficiency compared to state-of-the-art methods.
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.
Janet Kelso from the Max Planck Institute and Sudhir Kumar from Temple University discussed evolutionary biology in a KAUST Facebook Live interview. Kelso's research focuses on interactions between modern humans and Neanderthals, finding similarities in DNA and benefits for environmental adaptation. Kumar's work, highly cited, involves big data analyses in evolutionary biology. Why it matters: The interview highlights KAUST's engagement with international experts in bioinformatics and evolutionary biology, promoting interdisciplinary research and knowledge dissemination.
KAUST held a research workshop on Optimization and Big Data, gathering researchers to discuss challenges and opportunities in the field. Speakers presented novel optimization algorithms and distributed systems for handling large datasets. The workshop featured 20 speakers from KAUST, global universities, and Microsoft Research. Why it matters: The event highlights KAUST's role as a regional hub for advancing research and development in big data and optimization, crucial for AI and various computational fields.
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.
The article mentions several KAUST faculty and staff, including Matteo Parsani (Assistant Professor of Applied Mathematics), Teofilo Abrajano (Director of Sponsored Research), and David Keyes (Director of the Extreme Computing Research Center). It also references a talk by NASA Senior Scientist Mark Carpenter at the SIAM CSE 2017 conference. The article includes a photograph of King Abdullah bin Abdulaziz Al Saud. Why it matters: This appears to be general information about KAUST faculty and activities, but lacks specific details on research or AI developments.