Speaker
Description
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.
Although PEARLS is being developed within HEP, these approaches naturally extend to other machine learning–based analyses, including gravitational wave physics. This poster introduces the PEARLS work packages and highlights their potential for cross-disciplinary applications.