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Super intelligence

Projects/Programs

Keyword

Organizational Unit

NIST Living Measurement Systems Foundry

Ongoing

To enable the production of high-throughput, high-quality data that meets the rapidly evolving needs of current and future stakeholders, NIST has established an automation facility for the growth, manipulation, sample preparation, and measurement of engineered microbes. The core of the facility...

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...

Physics and Hardware for Intelligence

Ongoing

Our work in this area can be separated into two categories: conceptual and experimental. Please read our publications linked below for more information. Experimental: Our latest generation of synaptic circuits are described in a 2024 paper published in APL Machine Learning. These circuits are our...

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...

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

Completed

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...

Semi-Automatic Curation

Ongoing

Scientific literature is undeniably an important source of scientific data for research but the review and curation of data from literature is both tedious and time consuming. Investigators must sort through many articles to review and extract relevant information. For many areas of research...

SI-Optimized Building Controls

Ongoing

Objective Demonstrate the feasibility of practical SI control techniques for reducing the energy costs of operating HVAC systems in commercial buildings and create a research infrastructure, the Intelligent Building Agents Laboratory (IBAL) and Virtual Cybernetic Building Testbed (VCBT), suitable...

Nanofabricated magnetic tunnel junctions on a chip

Spintronics for Neuromorphic Computing

Completed

Magnetic tunnel junctions (see Fig. 1) consist of two thin films of ferromagnetic material separated by a few atomic layers of an insulating material. The insulator is so thin that electrons can tunnel quantum mechanically through it. The rate at which the electrons tunnel is affected by the...

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...

Subspace-Informed Deep Learning Solutions for Nanoscale Microscopy

Ongoing

Cutting-edge nanoscale microscopy techniques such as near-field scanning microwave microscopy (NSMM) and atom probe tomography (APT) enable a multi-dimensional virtual representation of an artifact to be constructed from a set of experimental measurements. These imaging techniques, which are...

Synthetic Biology

Ongoing

New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular Engineering Group works to provide a foundation of measurement assurance to support the control and rational design of biological function. Through state of the...

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

Ongoing

Scientific questions: Can an ANN allow us to predict the structure of fluids that are impossible to predict numerically via liquid-state theory? Can we learn something about liquid-state theory itself by the nature of the trained ANN? What features do the hidden layers capture?...

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

In standard integrated circuits, information that is coded as ones and zeros is implemented by voltages on wires being high or low. The circuits consume energy during transitions between these voltages. Binary numbers have a voltage per bit so there are a lot of transitions each time a number...

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

Completed

The measurement of diverse molecular classes in biospecimens containing millions of molecules, known as omics, is increasingly important in the life sciences and medicine, and used to find novel cancer therapeutics, discover COVID-19 infection pathways, and diagnose diseases. NIST RMs and SRDs for...

Trustworthy Intelligent Networks

Ongoing

Our current research efforts include: The application of AI/ML techniques to detect abuse of the Domain Name System (DNS). The development of measurement techniques to characterize the robustness of AI/ML approaches to botnet detection. The application of AI/ML techniques to detect anomalies in the...

AI User Trust

Ongoing

The Visualization and Usability Group’s AI User Trust project provided foundational work for our new AI User Trust Measurement research, and continues to inform our larger Human-Centered AI program. Please read more about our current work on those pages. The information that follows is maintained...

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...

Wireless Coexistence

Ongoing

What is Wireless Coexistence? Wireless coexistence is the capability of multiple wireless devices and services in the same geographical area to access the same RF spectrum band simultaneously without causing harmful interference to each other. In other words, can they all operate successfully and...

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