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NIST and CHIPS request comments on the draft of Special Publication 1000-2 ipd, Building a Metrology Exchange to Innovate in Semiconductors (METIS). This
NIST helped to foster awareness, debate, and education at the Technical Language Processing (TLP) Tutorial of the 15 th Annual Conference of the Prognostics and
A new publication describes METIS, a Metrology Exchange to Innovate in Semiconductors We are seeking comments on the draft publication through February 16, 2024
A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial
In the past decade, research data have become widely recognized as a critical national and global resource, and the risks of losing or mismanaging research data
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2023 (October 1, 2022
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2022 (October 1, 2021
Milos Drobnjakovic, Perawit Charoenwut, Ana Nikolov, Hakju Oh, Boonserm Kulvatunyou
Machine Learning (ML) adoption is on the rapid rise, with a nearly 40% compound annual growth rate over the next decade. In other words, companies will be
Yan Lu, Zhuo Yang, Shengyen Li, Yaoyao Fiona Zhao, Jiarui Xie, Mutahar Safdar, Hyunwoong Ko
The key differentiation of digital twins from existing models-based engineering approaches lies in the continuous synchronization between physical and virtual
RECIPE is a FORTRAN program for determining one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the
The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and
This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19
Description High-throughput (combinatorial) metrologies have evolved as a useful approach to rapidly determine the composition-structure-property relationships