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Super intelligence

Applied SI

Projects/Programs

Keyword

Organizational Unit

LANTERN - Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power

Ongoing

LANTERN: genotype-phenotype LANdscape in TERpretable Non-parametric model The bioeconomy is increasingly data-driven, relying on large-scale measurements to rapidly engineer novel functions. To facilitate rational engineering, where complex designs are constructed from well understood components...

AI for Live Mouse Cancer Progression Detection

Ongoing

Overview NIST has partnered with the National Cancer Institute (NCI) at the National Institutes of Health (NIH) to study cellular characteristics and cellular movements in live mice that indicate the presence of tumors. NIST researchers have developed neural networks designed to automatically detect...

Machine Learning for Internet of Things (IoT)

Ongoing

Resource Allocation in IIoT Systems As with any large an complex system, Industrial Internet of Things (IIoT) deployments require the system operator to efficiently allocate the available bandwidth, computing, and energy resources. This is challenging because IIoT systems, especially large ones, can...

Measurement Science for Automated Vehicles

Ongoing

Objective Develop measurement science for evaluating AI-based decision-making systems in automated vehicles. Technical Idea This project produces measurement methods, reference baselines, test tools, and scenario datasets that solve the measurement gap described above. Current evaluation methods...

Measurement Science for Robotics and Autonomous Systems Program

Ongoing

Objective Develop and deploy measurement science that advances robotic system performance, collaboration, agility, autonomy, safety, and ease of implementation to enhance U.S. innovation and industrial competitiveness. Technical Idea The fundamental idea is to provide the measurement science needed...

Methods for Community Resilience Tradeoffs

Completed

Objective - To support community resilience planning in the context of multiple competing objectives, including sustainability, adaptation, and public health, by evaluating complementarities and tradeoffs. What is the technical idea? Communities face multiple competing objectives in planning...

Microstructure-Property Tools for Structure-Property Design

Ongoing

Materials Digital Twins for AM Current methodologies for designing digital twins in additive manufacturing (AM) exhibit two main approaches. The first method involves ML models that establish a direct correlation between input and output properties, overlooks materials structure and characterization...

Nanoparticle Diameter Estimation Using AI-based Models from Event Camera-based Optical Imaging

Ongoing

Overview 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...

NIST LabCAS: Data Driven Science Architecture and Resource

Ongoing

Biological data lie at the heart of innovation and artificial intelligence (AI) advances in the emerging biotechnology sector and serve as key strategic resources for achieving major breakthroughs in biomanufacturing, as summarized by the National Security Commission on Emerging Biotechnology's...

Overlay Metrology Using Physics and AI-Based Scanning Electron Microscopy

Ongoing

Overview The project aims to build a complete, physics-backed metrology pipeline for deployment in commercial semiconductor chip fabrication facilities and research labs to optimize scanning electron microscopy (SEM)-based overlay, critical dimensions (CD), and defect inspection. Beyond production...

Physical AI and Data Generation for Robotics

Ongoing

Objective Develop metrics, test methods, standards, software, prototypes, and datasets to promote the adoption of AI-enhanced robotics. Technical Idea To address this problem, manufacturers and integrators need a streamlined way of assessing the productive impact of AI systems. To address the first...

Polymer Analytics

Completed

This project focuses on a variety of activities to achieve the aforementioned goal of accelerating the discovery of new polymer physics. Enhanced machine learning Two major hurdles to applying machine learning to polymer science is a lack of large datasets and a need to understand the model...

Quantification of Material, Loading, and Modeling Uncertainties of Reinforced Concrete Column Components and Frame Systems under Seismic and Gravity Loads for Use in PBSE

Completed

Objective - To quantify the influences of uncertainties in material properties, loads, and modeling techniques on the performance of reinforced concrete column components and frame systems under lateral seismic and axial loads from gravity. The results of this study will be integrated with the...

Quantitative Flow Cytometry Measurements

Ongoing

Flow cytometry is an essential tool for: basic biotechnological and immunological research, the clinical discovery of potential therapeutics, development and approval of drugs and devices, disease diagnosis, and therapeutic treatment and monitoring For example, flow cytometry is commonly used in pre...

Reliability of Mechanical Systems in Buildings

Ongoing

Objective To develop AI-assisted Fault-Detection and Diagnostic tools for reliability and operating cost savings of residential air conditioners (ACs), heat pumps (HPs), and mechanical systems of large commercial buildings. Technical Idea NIST will develop and demonstrate cloud-based FDD methods for...

Stem Cell Metrology: WSDOM

Ongoing

Stem cells are critical starting materials for advanced therapies and diagnostic devices. The most commonly used are induced pluripotent stem cells (iPSCs) which can be created with any individual’s skin cells, and then can be coaxed to become cells for any tissue of the body. Therapies and...

Using AI Networks to Improve Low-Field Brain Images

Ongoing

Overview Low-field Magnetic Resonance Imaging (MRI) promises to make MRI more accessible and affordable. However, this accessibility comes with a tradeoff: lower image quality that can limit clinical usefulness. Artificial intelligence (AI) methods have the potential to improve low-field MRI image...

Validating Computational Pipelines for Analysis of Live Cell Image Data

Ongoing

We are exploring methods for high-speed cell image data collection, which is enabling the repeated sampling of hundreds of thousands of cells every 2 minutes. Rapid sampling allow us to observe dynamic processes in cells (such as cell division) on a relevant time scale. Such rates of sampling allows...

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