KAUST has launched vFabLab™, its first virtual lab, to provide online distance learning for semiconductor fabrication. The virtual environment trains users on end-to-end device fabrication sequences using CMOS technology. Developed by KAUST's CEMSE division, each training session includes an interactive Q&A. Why it matters: This virtual lab expands access to crucial experimental modules in semiconductor fabrication, particularly benefiting students and enthusiasts lacking access to expensive cleanroom facilities in the region.
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 presents six experiments evaluating personalization and user tracking in web search engine results. The experiments involve comparing search results based on VPN location (including UAE vs others), logged-in status, network type, search engine, browser, and trained Google accounts. The study measures total hits, first hit, and correlation between hits to identify patterns of personalization. Why it matters: The findings shed light on the extent of filter bubble effects and potential biases in search results for users in the UAE and globally.
KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.
This paper introduces Diffusion-BBO, a new online black-box optimization (BBO) framework that uses a conditional diffusion model as an inverse surrogate model. The framework employs an Uncertainty-aware Exploration (UaE) acquisition function to propose scores in the objective space for conditional sampling. The approach is shown theoretically to achieve a near-optimal solution and empirically outperforms existing online BBO baselines across 6 scientific discovery tasks.
MBZUAI researchers have developed SVRPBench, a new open benchmark for testing vehicle routing algorithms under real-world conditions. SVRPBench simulates unpredictable urban delivery scenarios including rush-hour traffic, accidents, and customer delivery time preferences. The benchmark uses realistic city models with clustered customer locations, unlike existing deterministic benchmarks. Why it matters: This benchmark offers a more practical evaluation for vehicle routing algorithms, potentially leading to significant cost savings and improved efficiency in logistics within the region and beyond.
DERC at Khalifa University hosted a virtual seminar on High Energy Physics and Sensing Technologies, drawing 230 attendees from over 20 countries. The seminar featured presentations from a dozen international scientists on high-power electromagnetics and electromagnetic interference. Future seminars are planned on high-energy lasers, acoustics, and radar/sensing, with support from international universities and scientific societies. Why it matters: This event highlights the UAE's growing role as a hub for international scientific collaboration and advanced research in strategic technology areas.