I had an incredible time presenting the challenges of rendering highly detailed large models using the techniques I've developed over the past decade at Blue Brain.
A big thanks to all the attendees and for the fantastic discussions!
Abstract:
Scientific exploration has increasingly shifted from traditional storage-centric approaches to compute-centric methods, leveraging advanced software for data integration, analysis, and interactive visualization of vast scientific datasets.
To address this need, Blue Brain developed and open-sourced Blue Brain Brayns, a technical platform for the visualization of in-silico datasets, which later gave birth to the Blue Brain BioExplorer.
Initially created to tackle key scientific questions related to the Coronavirus and to deliver a powerful visualization tool, the BioExplorer now excels in reconstructing, visualizing, exploring, and detailing the structure and function of biological systems, from molecular systems up to the full brain.
In this highly visual presentation, I will demonstrate how I architected and built the application that EPFL's Blue Brain Project utilizes to generate high-quality, high-fidelity images and movies, along with interactive and immersive experiences of the digital reconstruction of the rodent brain. By prioritizing computational efficiency over traditional storage, we enable real-time manipulation and exploration of large datasets.
Additionally, I will present a few examples of how AI is a game changer, solving problems that were almost impossible to solve with classic techniques. These examples will highlight the transformative impact of AI in enhancing image quality, speeding up data processing, and uncovering new scientific insights that were previously beyond our reach
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