Dr. Zeke Xie from HKUST(GZ) presented research on noise initialization and sampling strategies for diffusion models. The talk covered golden noise for text-to-image models, zigzag diffusion sampling, smooth initializations for video diffusion, and leveraging image diffusion for video synthesis. Xie leads the xLeaF Lab, focusing on optimization, inference, and generative AI, with previous experience at Baidu Research. Why it matters: The work addresses core challenges in improving the quality and diversity of generated content from diffusion models, a key area of advancement for AI applications in the region.
Michael Hickner, an Associate Professor from Penn State University, visited KAUST as part of the CRDF-KAUST-OSR Visiting Scholar Fellowship Program. Hickner specializes in Materials Science and Engineering, Chemistry, and Chemical Engineering. The visit was documented with photos by Meres J. Weche. Why it matters: Such programs foster international collaboration and knowledge exchange in science and engineering between KAUST and other leading institutions.
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.