Water Time-Series Record Automation Framework development
Leverage AI/ML to streamline USGS time-series data processing workflows
Mineral Resource Assessments
Mineral resource assessments require a significant amount of data evaluation and processing.
Lithium Potential Assessments
Identifying sources of lithium is critical to our Nations economic prosperity and security.
Geothermal Energy Assessments
Executive Order 14156 – Declaring a National Energy Emergency, directs federal agencies to identify and develop our Nations energy resources.
DocketScope
Facilitate review of public comments.
Improved Processing and Analysis of Test and Operating Data from Rotating Machines [2024 INV#DOI-62]
This research strives to aid in the development of condition-based maintenance (CBM) and predictive maintenance (PdM) tools for Hydroelectric Facilities (Generators and Pumps) by…
Machine Learning for Chemical Savings at Reverse Osmosis Plants [2024 INV#DOI-73 (NEW)]
Water treatment processes are often complex and maintenance activities present tradeoffs between cost and system performance.
Machine Learning Applied to Geotechnical Engineering: Statistical Methods Applied to Seismic Analysis [2024 INV#DOI-71 (NEW)]
The process for determining the seismic risk for dams is time intensive.
Machine Learning Refines Quagga Habitat Suitability [2024 INV#DOI-74 (NEW)]
Invasive mussels pose a number of challenges for the continuous operation of water infrastructure.
Piloting Machine Learning Inflow Forecasts Across Reclamation [2024 INV#DOI-58]
Reclamation utilizes streamflow forecasts to inform reservoir operations.
Seasonal Water Supply Forecasting: Pyforecast [2024 INV#DOI-69]
Reclamation utilizes water supply forecasts (cumulative expected inflow over multiple months) to inform reservoir operations and water allocation decisions.
Using Machine Learning to Automate Crack Mapping and Structural Health Monitoring
Monitoring infrastructure health, particularly crack mapping in large concrete structures is highly time consuming and can be subject to the individual performing the work.
User guides/training provided in chat form
We have multiple systems with multiple user guides that are 200 plus pages. Additionally, we have a significant amount of training material. Our customer survey responses always i…
GraphRAG Comment Analysis and Management Solution
Comment analysis - identifying and binning comments from the public. Will intake comments from a variety of sources and AI then breaks them down by issue area. Anticipate traini…
NEPA Document Generation
Utilize generative AI to generate content for NEPA documentation. Will gather information from ePlanning, and with the link from other systems will be able to draw the project inf…
Assessment Inventory and Monitoring (AIM) Chatbot
The AIM program provides access to data from 73,000+ monitoring locations and offers tools, guidance, and workflows to support BLM staff in structured, repeatable data collection…
RUDD AI Development of a Small Language Model for Land Use Planning Decisions Consolidation
Consolidate Resource Management Planning Documents including but not limited to Resource Management Plans and Amendments to create a "current" decisions outputs.
AI Trapline for Fire
This project would gather various information from various websites/applications after manipulating the inputs on the webpage to get images and store them for human analysis. Crea…
General Land Office Records Modernization
Using optical character recognition and natural language processing, the GLO system will automatically extract text and data elements from scanned land record documents that defin…
FBMS UPC Chatbot
An OIG draft finding identified a significant number of purchase requests where the "Other" UPCs were used instead of the IT related UPCs that would trigger an IT Approval. This m…
Aveva Predictive Analytics (APA)
A means to predict and prevent failure is at the forefront of operations and maintenance. One of the best economical means to accomplish this is through data anomaly detection an…
Invasive Carp Harvest Predictive Model
identify where invasive carp are congregating in large numbers in the Mississippi River for targeted harvest
Automated power line extraction using deep learning
Provide a national, consistent, powerline dataset.
Mapping wood and wood hazards in the Willamette Basin, Oregon
Large wood in rivers pose hazards to people and infrastructure, particularly post wildfire. This work uses neural network models to map large wood in rivers from aerial imagery to…