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The vision of the Knowledge Facilitation project is to support the eNIST objective to eliminate paper and to automate manual, labor intensive activities. The
To support urban greenhouse gas (GHG) measurement capability, NIST is developing a low-cost sensor platform that can be deployed within existing measurement
Emerging low-field Magnetic Resonance Imaging (MRI) systems offer the promise of low-cost point-of-care imaging that could be conducted in, for example, rural
We are educating the next generation workforce with MGI skills and providing tools to rapidly deploy these skills. This includes knowledge and tools for machine
By using machine learning approaches, we seek to elucidate underlying universal characteristics of fluids and fluid mixtures that enable property prediction
Machine Learning (ML) has many applications, which include monitoring and control of automated systems such as factories and warehouses. These Industrial
Over the last several years machine learning has gained increased attention in the material science community. The ability to perform high throughput in silico
Without the capacity to verify food provenance, the health and well-being of consumers is at risk; moreover, food fraud creates a significant impact on the
We use machine learning and other computational techniques to predict the self-assembly characteristics of multicomponent colloidal materials. This is a
We are developing fundamental mathematical methods and analytical tools necessary for NIST to continue as a world-class metrology institute, and applying them
This Measurement, Metrics, and Assurance project focuses on measuring and assessing trustworthiness in software, systems and applications. It conducts research
This project aims to develop and evaluate a coherent set of methods to understand behavior in complex information systems, such as the Internet, computational
A new publication describes METIS, a Metrology Exchange to Innovate in Semiconductors We are seeking comments on the draft publication through February 16, 2024
Latent fingerprints are, by definition, left unintentionally and are obtained using diverse physical and chemical techniques. It follows that the initial
The approval of the INCITS 378 fingerprint template standard creates the possibility of a fully interoperable multivendor marketplace for applications involving
The Mobile Cloud Computing project looks at architectures and protocols of next generation infrastructures that exploit the synergy between Mobile devices
Multi-molecular complexes play a key role in the regulation of important biological phenomena. The ability to predict their structure and dynamics is a key
The NIST Transformational Networks and Services group, of NIST’s Communication Technology Laboratory’s Smart Connected Systems Division, has formed the Multi
Researches and develops measurement and evaluation methods to advance and promote the use of technologies that 1) provide more effective access to multimedia
Machine and deep learning (ML/DL) models have been successfully used to systematically analyze various datasets and extract knowledge without having to
The primary goal of the MBGC is to investigate, test and improve performance of face and iris recognition technology on both still and video imagery through a
For more information, visit the NSRL website at: www.nsrl.nist.gov This project is supported by the U.S. Department of Justice's National Institute of Justice