Assessment of Data-Management Infrastructure Needs for Production Use of Advanced Machine Learning and Artificial Intelligence: Tri-Lab Level II Milestone (8554)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
A robust data-management infrastructure is a key enabler for National Security Enterprise (NSE) capabilities in artificial intelligence and machine learning. This document describes efforts from a team of researchers at Sandia National Laboratories, Los Alamos National Laboratory, and Livermore National Laboratory to complete ASC Level II milestone #8854 “Assessment of Data-Management Infrastructure Needs for Production use of Advanced Machine learning and Artificial Intelligence.”
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525; 89233218CNA000001; AC52-07NA27344
- OSTI ID:
- 2212844
- Report Number(s):
- SAND--2023-08642
- Country of Publication:
- United States
- Language:
- English
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