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Information Technology

Artificial intelligence

Projects/Programs

Keyword

Organizational Unit

Indoor Localization and Tracking

Completed

This web page is simply a pointer to another page that covers the extensive research program in indoor localization and tracking at NIST.

Actionable Intelligence and Industrial AI

Industrial Artificial Intelligence Management and Metrology (IAIMM)

Ongoing

Industrial Artificial Intelligence (IAI), or Artificial Intelligence applied to industry applications, is defined by its requirement to fulfill an explicit need

Small array of transistors designed for single device integration.

Integrated CMOS Testbeds for Nanoelectronics and Machine Learning

Ongoing

With the rise of artificial intelligence and its insatiable demand for low-energy, high performance computing, research is accelerating into novel nanodevices

JARVIS-DFT

Ongoing

JARVIS-DFT (Website: https://www.ctcms.nist.gov/~knc6/JVASP.html ) is a materials property repository focused on density functional theory (DFT) predictions of

JARVIS-FF

Ongoing

JARVIS-FF (Website: https://www.ctcms.nist.gov/~knc6/periodic.html ) is a repository of classical force-field/potential calculation data to help users to select

JARVIS-ML

Ongoing

JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS

Machine Learning Fluid Equations of State

Ongoing

By using machine learning approaches, we seek to elucidate underlying universal characteristics of fluids and fluid mixtures that enable property prediction

Machine Learning for Internet of Things (IoT)

Ongoing

Machine Learning (ML) has many applications, which include monitoring and control of automated systems such as factories and warehouses. These Industrial

Machine Learning for Materials Research: Bootcamps and Workshops

Ongoing

Over the last several years machine learning has gained increased attention in the material science community. The ability to perform high throughput in silico

Machine Learning to Predict Food Provenance

Ongoing

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

Machine Learning to Predict Multicomponent Colloidal Crystals

Ongoing

We use machine learning and other computational techniques to predict the self-assembly characteristics of multicomponent colloidal materials. This is a

Materials Data Curation System

Ongoing

Neuromorphic Device Measurements

Ongoing

Neuromorphic computing is a radical new approach to information processing for artificial intelligence where, instead of using digital electronics, inspiration

NIST Automated Vehicles Program

Ongoing

Building on a successful first-year Strategic and Emerging Research Initiatives (SERI) project NIST and Autonomous Vehicles (see 2022 NIST AV workshop and

NIST Living Measurement Systems Foundry

Ongoing

The goal of the NIST Living Measurement Systems Foundry is to enable the engineering of cells for reliable and safe use in dynamic and unpredictable

Physics and Hardware for Intelligence

Ongoing

Artificial intelligence increasingly affects many aspects of society. New computational hardware based on information-processing in the brain is being developed

AI self-quality assurance using learning curves in feedback loops

Ongoing

Semi-Automatic Curation

Ongoing

Fig. 1. Die containing 285 superparamagnetic tunnel junctions.

Spintronics for Neuromorphic Computing

Ongoing

One promising new approach to next generation information processing is spintronics, where information is carried by electronic spin rather than charge. Among

Subspace-Informed Deep Learning Solutions for Nanoscale Microscopy

Ongoing

NIST is developing AI and machine learning methods to improve the fidelity of novel nanoscale microscopy techniques that are under research by NIST physicists.

Teaching Liquid State Theory to an Artificial Neural Network (ANN)

Ongoing

Fig. 1. Time re-Envisioned: Not a biproduct of computation but the domain in which information is encoded. Leads to different mathematical functions becoming energy efficient primitives.

Temporal Computing

Ongoing

The human brain does some types of information processing, like speech recognition, image recognition, or video processing, much more efficiently than can be

Training and optimization of hardware neural networks

Ongoing

Machine learning and artificial intelligence (AI) have advanced so rapidly that they can now outperform humans at many (or even most) tasks. However, the large

Trusted AI framework for a new class of Standard Reference Materials and Data with exquisitely characterized uncertainty for billions of properties

Ongoing

A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial

Trustworthy Intelligent Networks

Ongoing

NIST is working with industry and academia to improve the trustworthiness and applicability of artificial intelligence and machine learning technologies to

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