KAUST and ARMOR, a global technology company, have collaborated to create new solar-powered outdoor seating featuring flexible, lightweight, and semi-transparent solar technologies. The installation of the smart solar street furniture has been completed on KAUST campus in Saudi Arabia. The ASCA film used draws on technology co-developed by researchers at the KAUST Solar Center, using printed semiconducting inks on plastic film. Why it matters: This project demonstrates the potential for integrating KAUST's solar research into commercially viable applications and strengthens ARMOR's presence in the MENA region.
Saudi Arabia signaled a growing interest in AI technologies for defense during the World Defense Show. Saudi defense company, Scopa Industries, is undergoing a transformation to become a major player in the sector. The event highlighted the Kingdom's focus on integrating advanced technologies into its defense capabilities. Why it matters: This signals a strategic push towards technological self-sufficiency and enhanced defense capabilities within the Saudi defense industry.
The Advanced Materials Research Center (AMRC) held its second Board of Advisors meeting on November 23, 2021. Board members from Khalifa University, University of Sheffield, City University Hong Kong, Ludwig Maximilians Universität München, and Instituto Superior Técnico provided feedback on AMRC’s strategic plans. The meeting focused on AMRC’s strategic growth and future directions. Why it matters: The meeting indicates continued investment in advanced materials research in the UAE, signaling potential advancements in related technological applications.
KAUST researchers created a flexible temperature array by drawing a resistor structure with a silver conductive ink pen on Post-it paper. The array functions as an artificial skin sensor. The device demonstrates a low-cost approach to wearable sensors. Why it matters: This research offers a path to scalable and accessible sensor technology for health monitoring and other applications in the region.
The paper introduces VENOM, a text-driven framework for generating high-quality unrestricted adversarial examples using diffusion models. VENOM unifies image content generation and adversarial synthesis into a single reverse diffusion process, enhancing both attack success rate and image quality. The framework incorporates an adaptive adversarial guidance strategy with momentum to ensure the generated adversarial examples align with the distribution of natural images.
This article mentions KAUST in the context of the 251st American Chemical Society National Meeting. However, it contains no specific details about AI or related research activities. The content is primarily a copyright notice for King Abdullah University of Science and Technology. Why it matters: This mention provides minimal information about KAUST's involvement in the event and lacks substantial AI-related content.