Joint Session: Leveraging the Computing Revolution in the AI era
Date: 7th October 2025
Joint Session Description:
The relentless pace of change of HPC technologies, to which the Geosciences have always been accustomed to, is now compounding with the extraordinary acceleration brought about by artificial intelligence. Every day new opportunities for innovation in data processing pipelines emerge, very often accompanied by new technological challenges. At the same time, data density and resolution are constantly increasing, and the latency between data acquisition and processing is constantly shrinking and even becoming non existent when we process data on the edge.This joint session will try to address the landscape of this new and unprecedented scenario. How are the HPC and data processing communities reacting? Is there a convergence path that can maximize benefits without disrupting established data processing ecosystems? Are there any lessons we can learn from past revolutions, such as when we borrowed GPUs from game consoles? Has generative AI already had a transformative impact on our data, just like it is having on text, sound, images, and video?
As the evolution of HPC hardware is inevitably increasingly driven by AI requirements, is there a viable way to leverage it to speed-up conventional and well established data processing approaches, or is it time for a radical paradigm change?
Join us for a groundbreaking joint session!
Invited Speaker
Matteo Ravasi
Senior Research Advisor and AI/MLOps Engineer, Shearwater Geoservices
Matteo is a Senior Research Advisor and AI/MLOps Engineer at Shearwater Geoservices. Prior to that, Matteo was an Assistant Professor at KAUST in the School of Earth Science and Engineering, member of the Extreme Computing Research Center, and co-Director of the DeepWave industry funded consortium. Matteo also worked in Equinor both within research and operations and has led the development of several open-source software products in the geophysical domain. He holds a Phd in Geophysics from the University of Edinburgh and an MSc and BSc in Telecommunication Engineering from Politecnico di Milano. Matteo has made several contributions in the areas of seismic processing and imaging by developing novel methods to improve the quality and resolution of subsurface imaging products. For his work, Matteo is the recipient of the SEG Karcher Award, EAGE Arie van Weelden award, RAS Keith Runcorn Prize, and Gustavo Sclocchi Theses Award. Matteo is also involved in the development of the open-source project PyLops, a Python framework for large-scale inverse problems on heterogeneous architectures.
