Opportunities for machine learning in scientific discovery

arXiv:2405.04161v1 Announce Type: new
Abstract: Technological advancements have substantially increased computational power and data availability, enabling the application of powerful machine-learning (ML) techniques across various fields. However, our ability to leverage ML methods for scientific discovery, {\it i.e.} to obtain fundamental and formalized knowledge about natural processes, is still in its infancy. In this review, we explore how the scientific community can increasingly leverage ML techniques to achieve scientific discoveries. We observe that the applicability and opportunity of ML depends …

abstract application arxiv availability computational cs.ai cs.lg data discovery enabling fields fundamental however knowledge machine machine learning natural opportunities power processes scientific scientific discovery type