Classifying CWD-Infected Elk Using Recurrent Neural Networks on GPS Movement Data
Chronic Wasting Disease is difficult and costly to diagnose using traditional biological testing. However, the disease affects an elk's behavior and movement over time. By analyzi…
Random forest models for predicting water quality of inland waters from remotely sensed imagery
Inland waterbodies (i.e. rivers, lakes, reservoirs, ponds, etc.) can face issues of poor water quality which may pose issues to water users, water infrastructure, and ecosystems.…
An integrated sensor network and data driven approach to satellite remote sensing of Dissolved Organic Matter
AI leverages the very large water quality dataset from extensive existing in situ data at continuous monitoring stations to develop a remote sensing model with improved accuracy f…
Remote sensing of particulate and filter passing mercury species: models and proxies
AI provides the framework for understanding the relationship between optical water quality parameters and non-optical contaminants to develop highly accurate remote sensing models…
Determining the resource potential of critical minerals in seafloor massive sulfide deposits [2024 INV#WO0000000109311]
The system predicts the location of seafloor massive sulfide deposits for use as critical mineral indicators. Produces associated mapping products for public use.
Mapping ecohydrological headwater refugia
This application of machine learning is being used to aggregate complex spatial data to develop a statistical model used to create detailed maps of headwater stream resources and…
Autonomous Drone Inspections
The Bureau of Safety and Environmental Enforcement within the Department Of Interior, is requesting a trade study of the feasibility of autonomously inspecting off-shore facilitie…
Well Activity Report Classification
Researching the use of Masked Language Models and Convolutional deep neural networks to identify classification systems for significant well event using data from Well Activity Re…
Level 1 Survey Report Corrosion Level Classification
Offshore operators conduct Level 1 surveys annually to report on platform structural integrity, as mandated by 30 CFR 250.901(a)(7), and submit these surveys to BSEE. Each survey…
ROV Smart Touch Subsea Pipeline Inspections
The lack of efficiency and or capability for BSEE and the Oil and Gas industry to inspect bolt failures for underwater pipelines.
Veritone
Improve transcription and translation of written, video, and audio files
Summarization & Policy Analysis for Regulatory Comments (originally Leverage AI in the Rulemaking Process Use Case)
Addresses duration, efficiencies, and accuracies in initial comment analysis.
Improve Safety Inspections Use Case
The AI solution is intended to enhance the efficiency and accuracy of dam and LNG pipeline structure inspections by FERCs Dam inspectors. It will analyze historical and real-time…
Enhance Market Surveillance and Fraud Detection Use Case
The AI solution aims to assist staff in analyzing large and complex market datasets for market integrity and compliance purposes. It will process and interpret vast amounts of tra…
Support Interconnection Request Responses Use Case
The AI solution will be designed to address the growing backlog of project interconnection requests and reduce the average three-year wait time. By accelerating the processing of…
Gas Blanket Certificates (Permitting)
It is designed to streamline the classification, tracking, and summarization of filings and issuances related to blanket certificates, reducing manual workload and improving consi…
Text Retrieval and Generation for NRC Staff Support
NRC staff are required to discover, retrieve, and analyze information from internally-managed and externally-provided documents. These documents can be lengthy as well as dense w…
Support routine administrative tasks and enhancing communications
These AI use cases address inefficiencies in administrative workflows, such as scheduling, document drafting, and information retrieval. They help automate repetitive tasks, impro…
Unified, secure access to multiple advanced AI language models
The NRC faces challenges accessing, integrating, and securely managing multiple advanced AI models from different providers. This creates inefficiencies, increases costs, and comp…
Testing industry leading generative AI foundational large language models
The AI is intended to address gaps in organizational understanding of how generative AI can support knowledge work. The sprint helps identify potential benefits, limitations, and…
Ecosystem Management Decision Support System (EMDS)
This system provides decision support for environmental analysis and planning by using AI-powered tools in ArcGIS and QGIS.
Rangeland Analysis Platform
Provides ranchers and land managers with information to detect and manage invasive species spread, wildfire risks, woody species encroachment, wildlife habitat condition, and wind…
GIS Invasive Tree Extraction for Field Level Users
The tool automatically identifies invasive Eastern Red Cedar trees from the surrounding landscape. This eliminates manual processing by planners.
BirdNET to detect bird vocalizations for research and species monitoring
BirdNET quickly scans thousands of hours of forest audio recordings to detect bird calls from species that are important for forest monitoring, like American goshawks, black-backe…