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Artificial intelligence

Projects/Programs

Keyword

Organizational Unit

Computation Platform for AI/ML

Ongoing

In collaboration with NIST’s Information Technology Laboratory and Office of Information Systems Management, the Office of Data and Informatics is supporting the deployment and development of the long-term operational model for the enki computation platform for NIST staff members who research and...

Concept Note: AI RMF Profile on Trustworthy AI in Critical Infrastructure

Ongoing

Join the NIST AI RMF Profile on Trustworthy AI in Critical Infrastructure Community of Interest (COI)! NIST has created a Trustworthy AI in Critical Infrastructure Profile Community of Interest to provide feedback to NIST. NIST welcomes participation from across the entire critical infrastructure...

Consistency Analysis and Uncertainty in ‘omic Data

Ongoing

‘Omics is increasingly moving out of the laboratory and towards use in industrial and commercial applications. For instance, in biomanufacturing, there is a need for quality control when developing biotherapeutics, which will almost certainly require a machine-learning classifier to separate...

Data Driven Decision Support for Additive Manufacturing

Completed

Objective To develop and deploy the metrics, models, and best practices for using product definition, advanced analytics, and machine learning methods in additive manufacturing design and process planning to reduce lead times and support first-part-correct goals. Technical Idea Future advancements...

AI/ML for Data Extraction and Uncertainty Predictions

Ongoing

The Material Measurement Lab at NIST employs artificial intelligence for the prediction and discovery of materials characteristics. Our applications of artificial intelligence (AI) accelerate materials research as well as help the community learn about AI's capabilities and gain confidence in...

Data-Driven Design for Product Recovery

Ongoing

Objective To develop standards, metrics, and data-driven methods that can be implemented in early product design stages to increase the efficacy of end-of-use product recovery pathways and keep valuable products in the economy and recover valuable materials. Technical Idea The Data-Driven Design for...

Deducing Prior Material Deformation from Simple Mechanics

Ongoing

Process-structure-property linkages suggest an opportunity to deduce processing from behavior. Simple imaging experiments provide rich sources of data. Can we deduce prior deformation? Scheme: Thin film plasticity Deform to some reference strain Unload Deform to test strain, image Deduce...

Deep Learning for MRI Reconstruction and Analysis

Ongoing

The project is proceeding in three directions. Creating a new MRI reference artifact designed to assess geometric distortion using NIST’s MRI scanner. The artifact will be small enough to fit within the scanner with sufficient clearance to allow for variation in positioning within the scanner....

an infographic showing four proposed standards connecting as four joined puzzle pieces

Development of Standards to Support a Modular and Autonomous Laboratory Ecosystem

Ongoing

Autonomous experimentation (AE), or self-driving laboratories, combines AI and automation while leveraging human intuition and creativity to guide experiment campaigns. AE can reduce the time and resources needed to discover new materials by orders of magnitude and reduce the time-to-market for...

AI for SI Dissemination: Applying Neural Networks to NIST’s Measurement Services

Ongoing

Overview This project uses Artificial Intelligence (AI) to make NIST's most precise measurement tools faster and more accessible. Digital Twins will control the behavior of NIST's quantum-based measurement instruments, using Physics-based AI models to help improve the accuracy and robustness of core...

Edge AI

Completed

This project: Develops edge learning and edge-enabled collaborative learning algorithms. Develops measurement methods for testing the performance and robustness of edge-learned, and more generally collaboratively learned, AI/ML models. Collaborates with other projects (e.g., 5G/6G Core Network...

Emerging Hardware for Artificial Intelligence

Ongoing

Here is a brief description of our work with links to recent papers from our investigations, broadly classified as experimental and modeling. A brief overview of Josephson junction-based bio-inspired computing can be found in our review article. Experimental We have facilities to develop our devices...

Explainable Artificial Intelligence Based Modeling Applied to OMICS Problems

Ongoing

The goal of the project is to produce billions of certified values from multiple measurement methods with well-characterized uncertainty in the “’omics” field (genomics, proteomics, transcriptomics). These values are prepared by a joint effort between human experts and trained AI based models for...

viral vector illustration with RNA seen within the capsid

Gene Delivery Particle Analysis with High-Throughput Light Scattering Microscopy

Ongoing

This project aims to develop light-scattering microscopy methods for rapid, multi-attribute characterization of gene therapy particles at the single particle level. Emerging gene therapy treatments use gene delivery particles, such as viral vectors and non-viral carriers, to cure intractable...

Generative Artificial Intelligence Evaluation Program (GenAI)

Ongoing

Please visit the GenAI evaluation server page for an overview of the GenAI program and descriptions of specific tasks, schedules, and evaluation plans, as well as the registration, download, and hosts submission platform for participants. Direct links to specific GenAI challenges are provided below...

Genome in a Bottle

Ongoing

Consortium goals: The Genome in a Bottle Consortium is a public-private-academic consortium hosted by NIST to develop the technical infrastructure (reference standards, reference methods, and reference data) to enable translation of whole human genome sequencing to clinical practice and innovations...

Guardians of Forensic Evidence

Ongoing

The program addresses critical challenges including a gap between high research accuracy and a lack of ease-of-use in real-world applications, as well as the need for improved generalization capability and robustness against post-processing and anti-forensics filters. The specific image deepfake...

Hardware Accelerators for Neural Networks

Ongoing

One promising candidate for building a hardware accelerator comes from the field of spintronics, where information is carried by electronic spin rather than charge. Magnetic tunnel junctions are particularly suited because of their multifunctionality and compatibility with standard integrated...

Hermes: Modular Open-Source Tools for Autonomous Materials Science Experimentation

Ongoing

Autonomous Experimentation is one of the latest, most powerful paradigms of research that takes advantage of Machine Learning tools. However, most machine learning code bases are designed for generic data. Contrastingly, in Materials Science, and other sciences, the data has significant physical...

High Performance Crystal Plasticity

Ongoing

“Crystal plasticity” is a computationally intensive way of computing the behavior of materials undergoing large permanent deformations. Computation is very inhomogeneous: A large effort is expended everywhere, but only a small portion of the computational domain is doing anything interesting. We...

HL7 AI Transparency on Fast Healthcare Interoperability Resources (FHIR)

Ongoing

Overview Health data is increasingly produced or modified by AI, but the record itself rarely contains this information. To downstream users, AI-influenced data included in conventionally produced health records, are indistinguishable from other data, and AI involvement cannot be determined from the...

Identification, Suitability Testing, and Property Determination from Untargeted Measurements

Ongoing

In many applications, detailed knowledge of a fluid mixture’s physical behavior is needed. This can include physical properties such as viscosity and qualitative properties such as solubility. For instance, a dissolved polymer may suddenly precipitate out of solution when exposed to saline, and if...

Indoor Localization and Tracking

Completed

Please see the page that describes NIST work in this area.

Actionable Intelligence and Industrial AI

Industrial Artificial Intelligence Management and Metrology (IAIMM)

Completed

IAIMM has identified IAI systems for decision making, planning, and control in manufacturing as a prime candidate for better Standard Operating Procedures (SOPs) centered on both use and evaluation. The specific use case of multi-stage manufacturing presents a broad scope of application to...

Small array of transistors designed for single device integration.

Integrated CMOS Testbeds for Nanoelectronics and Machine Learning

Ongoing

The increasingly complex device requirements for next-generation computing architectures such as neuromorphic computing or nanoelectronic machine learning accelerators present challenges for researchers across the spectrum of institutions, from small businesses and universities to government...

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