The Saudi Vaccine and Biomanufacturing Center (SVBC), the first of its kind in the Middle East, broke ground at KAUST on December 15. The center will develop vaccines and biopharmaceutical products under good manufacturing practice (GMP) standards. It is a joint project championed by the Ministry of Energy, Industry and Mineral Resources through the Industrial Clusters Program and supported by KACST. Why it matters: The center will serve as a national platform for pharmaceutical innovation and address epidemic risks in the Kingdom, such as MERS-CoV.
The Research Products Development Company (RPDC) signed an agreement with The Saudi Vaccine and Biomanufacturing Center (SVBC) to establish a research and industrial center in Saudi Arabia for vaccine and biopharmaceutical development. Supported by KACST and hosted by KAUST, the SVBC will provide a state-of-the-art facility and a training platform. Cooperation agreements were also signed with GE for equipment supply and with Fujifilm Dayosent Biotechnology for MERS-CoV treatment development. Why it matters: This initiative aims to localize vaccine and advanced treatment industries in Saudi Arabia, create technical jobs, and reduce reliance on imports in line with Vision 2030.
KAUST's Visual Computing Center (VCC) hosted an Open House event on March 28, showcasing its interdisciplinary research in visual computing. Demonstrations included a virtual reality driving simulator by FalconViz, intended for driver education in Saudi Arabia. Researchers also presented a drone trained to autonomously navigate race courses and a neural network for autonomous driving using image-based technology without GPS. Why it matters: The VCC's work highlights KAUST's role in advancing visual computing applications relevant to Saudi Arabia, from driver training to autonomous systems.
Video-ChatGPT is a new multimodal model that combines a video-adapted visual encoder with a large language model (LLM) to enable detailed video understanding and conversation. The authors introduce a new dataset of 100,000 video-instruction pairs for training the model. They also develop a quantitative evaluation framework for video-based dialogue models.
KAUST's Visual Computing Center (VCC) is researching computer vision, image processing, and machine learning, with applications in self-driving cars, surveillance, and security. Professor Bernard Ghanem is working on teaching machines to understand visual data semantically, similar to how humans perceive the world. Self-driving cars use visual sensors to interpret traffic signals and detect obstacles, while computer vision also assists governments and corporations with security applications like facial recognition and detecting unattended luggage. Why it matters: Advancements in computer vision at KAUST can contribute to innovations in autonomous vehicles and enhance security measures in the region.
The KAUST Visual Computing (KAUST RC-VC) – Modeling and Reconstruction conference featured speakers from Simon Fraser University, Caltech, Cornell University, and Autodesk. Presentations covered topics like networking topology, shape matching and modeling, data-driven interpolation of optical properties, and computer graphics. Why it matters: The conference highlights KAUST's role in fostering international collaboration and advancing research in visual computing and related fields within Saudi Arabia.
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.