The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology

arXiv:2404.11341v1 Announce Type: cross
Abstract: In some fields of AI, machine learning and statistics, the validation of new methods and algorithms is often hindered by the scarcity of suitable real-world datasets. Researchers must often turn to simulated data, which yields limited information about the applicability of the proposed methods to real problems. As a step forward, we have constructed two devices that allow us to quickly and inexpensively produce large datasets from non-trivial but well-understood physical systems. The devices, which …

abstract algorithms arxiv causal cs.ai cs.lg data datasets fields information machine machine learning methodology researchers simulated data statistics stat.me stat.ml systems type validation world