Traditional geotechnical investigations provide data only at discrete borehole locations, leaving vast areas uncharacterized. This spatial gap often leads to unforeseen ground conditions during construction, causing costly delays, design modifications, and occasionally catastrophic failures. Now, a novel integrated geophysical-machine learning approach, using k-means clustering technique, by a team of researchers from Shibaura Institute of Technology provides continuous subsurface characterization, enabling evidence-based decision-making throughout project lifecycles.

Leading maritime engineering specialists, marine ecologists, and biodiversity experts, gathered in Barcelona between 7 and 9 October to officially kick start the project’s vision on climate-resilient coastal landscapes. Hosted by the Maritime Engineering Laboratory from the Polytechnic University of Catalonia, the meeting focused on setting the strategic direction of the project, aligning the scientific, technical and communication objectives and establishing synergies between project partners across Europe and beyond. 

Research led by a University of Utah geoscientist shows O₂ in sulfate deposits, coupled with geochemical clues, could help identify microbial activity in Earth’s rock record and even in Martian sediments.