KAUST's Extreme Computing Research Center (ECRC) developed Multiple Object Adaptive Optics (MOAO) software. The software will contribute to the activities of the world's largest future optical telescope to be deployed in Chile in 2024. MOAO will eliminate atmospheric noise and enable simultaneous observation of multiple objects at different distances. Why it matters: This contribution highlights KAUST's role in cutting-edge astronomical research and positions the Middle East as a key player in advancing observational astronomy.
KAUST researchers developed a machine learning algorithm to control a deformable mirror within the Subaru Telescope's exoplanet imaging camera, compensating for atmospheric turbulence. The algorithm, which computes a partial singular value decomposition (SVD), outperforms a standard SVD by a factor of four. The KAUST team received a best paper award at the PASC Conference for this work, which has already been deployed at the Subaru Telescope. Why it matters: This advancement enables sharper images of exoplanets, facilitating their identification and study, and showcases the impact of optimizing core linear algebra algorithms.
KAUST Professor Wolfgang Heidrich is researching computational imaging systems that jointly design optics and image reconstruction algorithms. He focuses on hardware-software co-design for imaging systems with applications in HDR, compact cameras, and hyperspectral imaging. Heidrich's work on HDR displays was the basis for Brightside Technologies, acquired by Dolby in 2007. Why it matters: This research aims to advance imaging technology through AI-driven design, potentially impacting various fields from consumer electronics to scientific research within the region and globally.
KAUST researchers collaborated with the Paris Observatory and the National Astronomical Observatory of Japan (NAOJ) to develop advanced Extreme-AO algorithms for habitable exoplanet imaging. The new algorithms, powered by KAUST's linear algebra code running on NVIDIA GPUs, optimize and anticipate atmospheric disturbances. The implemented Singular Value Decomposition (SVD) algorithm won an award at the PASC Conference 2018 and is used at the Subaru Telescope in Hawaii. Why it matters: This advancement enhances the ability to image exoplanets, potentially leading to breakthroughs in the search for habitable planets using ground-based telescopes.
This paper introduces Adaptive Entropy-aware Optimization (AEO), a new framework to tackle Multimodal Open-set Test-time Adaptation (MM-OSTTA). AEO uses Unknown-aware Adaptive Entropy Optimization (UAE) and Adaptive Modality Prediction Discrepancy Optimization (AMP) to distinguish unknown class samples during online adaptation by amplifying the entropy difference between known and unknown samples. The study establishes a new benchmark derived from existing datasets with five modalities and evaluates AEO's performance across various domain shift scenarios, demonstrating its effectiveness in long-term and continual MM-OSTTA settings.
KAUST Professor of Electrical Engineering, Boon Ooi, has been elected as a Fellow of the Optical Society of America (OSA). Ooi is a professor in the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST. The fellowship recognizes his contributions to the field of optical engineering. Why it matters: This recognition highlights KAUST's growing prominence in optics and photonics research and boosts its reputation as a leading STEM institution in the Middle East.
A KAUST-led team developed a nano-optical chip capable of generating and controlling nanoscale rogue waves. The chip, detailed in Nature Physics, uses a planar photonic crystal fabricated at the University of St. Andrews and tested at FOM Institute AMOLF. It enables unprecedented control over these rare, high-energy events, opening possibilities for energy research and environmental safety. Why it matters: This innovation provides a new platform for studying extreme events and potentially harnessing their energy, advancing both fundamental science and practical applications in areas like renewable energy and disaster prevention.
I am sorry, but the provided content appears to be incomplete and does not offer enough information to create a meaningful summary. It mentions 'Self-powered dental braces' in the title, but the content is just a copyright notice and a link to KAUST.