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Team monitors ground movements during volcano eruption in Iceland

KAUST ·

A team from KAUST's Earth Science and Engineering program visited the site of the ongoing volcanic eruption in Iceland, which began in August 2014. Researchers monitored ground movements related to a collapsing structure near the eruption site using GPS instruments to measure vertical ground displacements. They aim to compare these measurements with satellite radar data to quantify volume changes before, during, and after the eruption. Why it matters: This study exemplifies the application of KAUST's earth science expertise to understanding and monitoring significant geological events, contributing to hazard assessment and risk management in volcanically active regions.

Science: The language of modern life

KAUST ·

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.

First ever hydrothermal vent fields found in the Red Sea

KAUST ·

KAUST researchers have made the first direct observations of active hydrothermal vent fields in the Red Sea, specifically on Hatiba Mons. The total active area spans 1.6 km2, the largest reported globally, with vent temperatures around 40 degrees Celsius supporting thriving microbial communities. The observations, confirmed using remotely operated underwater vehicles (ROVs), build on over a decade of data collection. Why it matters: These findings provide insights into the Red Sea's unique biological and mineralogical resources, offering a model to study the evolution of life in extreme environments.

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

arXiv ·

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.