3 papers
cs.CY2026
Reducing Catastrophic Risk from AI with Systematic Monitoring and Evaluation of Rogue AI Progression
T. Bauer, W. P. Kegelmeyer, E. Begoli +15
This article presents a structured framework of behavioral indicators that may signal progression toward potentially catastrophic threats from artificial intelligence systems. We a…
q-bio.BM2023
Decoding the Molecular Universe -- Workshop Report
Thomas O. Metz, Joshua N. Adkins, Peter B. Armentrout +30
On August 9-10, 2023, a workshop was convened at the Pacific Northwest National Laboratory (PNNL) in Richland, WA that brought together a group of internationally recognized expert…
q-bio.BM2019
Deep learning to generate in silico chemical property libraries and candidate molecules for small molecule identification in complex samples
Sean M. Colby, Jamie R. Nuñez, Nathan O. Hodas +2
Comprehensive and unambiguous identification of small molecules in complex samples will revolutionize our understanding of the role of metabolites in biological systems. Existing a…