Topaz
Automated screening of CryoEM specimens
Protein Modeling with AlphaFold
Protein modeling
Detection of AI-Generated Reviewer Critiques
This tool detects if a given written critique was generated by AI tools, such as large language models (LLMs), as the reviewers are not allowed to write their critiques using thes…
Ask Aithena
Helps researchers stay on top of the latest research in their field and quickly get up to speed in new fields by providing conversational answers while also providing verifiable r…
ChIRP - A ChatGPT Model for the NIH Intramural Community
We hoped to load text into the chatbot to assist in summarization and identification of prominent themes. ChIRP was moderately helpful for our use case, primarily because we used…
BioData Catalyst Harmonized Data Model
Harmonizing complex scientific concepts in retrospectively collected data.
Using Text Summarization for Open-Ended Survey Responses
Analyzing open-ended survey responses is very time intensive. This project seeks to reduce the time that analysis takes.
Programmatic Access to LLMs via API
Secure endpoints enabling researchers to submit prompts and receive model output directly within analytical workflows
NCCBR Data Validation Pilot
AI modules applied to our collection pipelines to flag ingestion errors and assess data quality before analyst review
Advanced Anomaly & Changepoint Detection
Scaling our topic-attention analytics to signal market shifts in real time
NAL Automated Indexing
Library content grows rapidly every year as knowledge expands, but it isn't possible for a small team of librarians to organize it manually, efficiently, and accurately at scale.
LCAT - Land Change Analysis Technique
Generating landcover from imagery
Raster Tools
Integrating geospatial analysis with AI in parallel.
TreeMap and FuelMap (all versions)
Produce tree-level model of the forests of the US, and corresponding model of fuel loading.
Landscape Change Monitoring System (LCMS)
LCMS produces annual vegetation cover change, land cover, land use, and tree canopy cover data on National Forest System lands and more broadly across the conterminous United Stat…
Forest Health Detection Monitoring
This project monitors forest health by detecting tree damage through changes in light patterns collected by satellites.
Cropland Data Layer
Generating agricultural statistics
Conservation Effects Assessment Project
The purpose of the use case is to predict the conservation effects of cropland practices in real time, with no technical skill required.
Digital Imagery (no-change) for NRI Program
AI algorithms are used to look at landscape images and detect if the landscape has changed from year to year.
Genomic Analyses of Pathogen Subtypes
The purpose of this use case is to use machine learning (ML) methods to group foodborne bacteria based on patterns in their genes, then connect this information with available hea…
Foodborne Illness Source Attribution
The Interagency Food Safety Analytics Collaboration (IFSAC) - a partnership between the Centers for Disease Control and Prevention (CDC), the U.S. Food and Drug Administration (FD…
DISTRIB-II: Habitat Suitability of Eastern United States Tree
The goal of this use case is to provide information about current and future habitat suitability of east United States tree species. Machine learning is used to develop models tha…
Rapid Drafting of ARS Research Summaries
The purpose of this tool is to summarize ongoing research from internal Agricultural Research Service (ARS) documents to allow program staff to efficiently understand ARS research…
NASS Automated Editing Tool
The purpose of this model is to determine if an answer on a survey is valid or invalid. If an answer is classified as invalid, a model will then suggest a corrected value.