This Technical Evening presents the EXA4MIND platform and its approach to handling extreme-scale data using supercomputing, cloud technologies, automated data pipelines, and AI. Through real-world examples from automotive AI, Earth observation, and molecular dynamics, it shows how advanced data processing enables practical results across research and industry.
Program:
17:30 Opening
18:00 AI for Data Processing for ADAS Validation (David Hurych)
18:30 Efficient Data Processing in Molecular Dynamics (David Číž)
19:00 Supercomputing in Practice (Martin Golasowski)
19:30 Discussion and refreshment
Speakers:
David will present the latest methods and AI models for processing image, LiDAR, and text data used in the validation of ADAS before they are deployed on the road in real traffic. The presentation will also describe unsupervised machine learning methods developed within the platform for extreme data EXA4MIND project for the transfer, storage, and analysis of extremely large-scale data using supercomputers and cloud technologies.
Molecular dynamics simulations produce enormous volumes of valuable data, but turning them into useful insight is challenging. David will present how the EXA4MIND extreme data platform automates simulation data processing using extracting key metadata and preparing results for efficient analysis. The end-to-end workflow demonstrates how modern data orchestration accelerates research in computational chemistry and materials science.
Martin will introduce how the EXA4MIND extreme data platform uses supercomputing and automated data pipelines to handle large-scale data efficiently. Through practical examples from automotive AI, Earth observation, and molecular dynamics, it shows how extreme data technologies enable real results across different industries.
