Erlangen 2026 – scientific programme
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T: Fachverband Teilchenphysik
T 56: Data, AI, Computing, Electronics VI
T 56.1: Talk
Wednesday, March 18, 2026, 16:15–16:30, KH 02.014
How to make artificial intelligence more sustainable and precise? - Introducing the project PEARLS — •Simran Gurdasani1, Valerie Lang2, Pardis Niknejadi1, and Naman Kumar Bhalla2 — 1DESY — 2Albert-Ludwigs-Universitaet Freiburg
Artificial intelligence (AI) is increasingly applied in scientific research, but its growing computational demands raise concerns regarding reliability, transparency, and environmental impact. The PEARLS project: Precision in Energy-aware AI Research for Low-carbon Solutions, is an ErUM-Data consortium between DESY and the University of Freiburg and aims to address these challenges. Within PEARLS, we are developing tools to measure the Carbon footprint of Machine Learning applications, evaluate algorithm efficiency and precision, and improve the processing of data in ML workflows. In this talk, I will introduce the PEARLS project, report on the current progress from DESY and Freiburg, and outline plans for the future.
Keywords: Sustainability; AI; Machine Learning