Human Performance (HP) Fatigue Recommendations
This use case will be used to develop and understanding of HP Fatigue recommendations and ties to safety risk.
Prognosis and Diagnosis Based on Contributing Factors to Safety Risk
To increase expainability and interpretability of changes in safety risk based on contributing factors from and LLM tuned to Human Factors Common Taxonomy.
Knowledge Representation for Deep Learning
The overall purpose of the effort is to establish Knowledge Graph usage to develop Deep Learning, starting with a specific problem statement. The problem statement is to "Enhance…
Identification of Similar Continued Operational Safety (COS) Events
AIR is utilizing AI within Palantir Foundry (i.e., Foundry's "Artificial Intelligence Platform" (AIP)) to search, find and link similar types of events (e.g., Continued Operationa…
Flight Standards Inspector Readiness Program (FSIRP)
This use case will help automate current manual processes and reduce tasks.
Court Reporting and Testimony Management Platform
This technology will provide solutions for remote, hybrid, and in-person proceedings that will include both transcription and translation services.
AI-Assisted Legal Research
The AI-Assisted Research will return a summarized overview or draft with detailed insights from top results, along with a list of key cases statutes and regulations.
Service Difficulty Reporting System (SDRS) Joint Aircraft System/Component Code (JASC) Code Picker
This use case will leverage AI to assist in sorting and assigning proper JASC codes within the SDRS environement as an addition into the next development cycle for SDRS.
Case and Document Management Copilot
The Copilot would be natively embedded across an application to deliver a consistent user experience that can answer questions, generate content, and dynamically automate any acti…
AI Freedom of Information Act (FOIA) Request Classification
Will strengthen the Intake and Assignment Branch's precision of FOIA request assignments at the first take, freeing up time to actively engage with requesters and customers alike.…
Community Engagement Chat Bot
Assisting the public in finding information on the FAA website.
Explainable and robust deep semi-supervised model for multi-class anomaly detection in flight data
This model is a semi-supervised deep learning based anomaly detection for aircraft flight data. It is designed to work when a small subset of data is reviewed and labeled by exper…
Machine Learning Airport Surface Model: Airport Configuration Prediction
The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models inte…
Machine Learning Airport Surface Model: Arrival Runway Prediction
The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models int…
Machine Learning Airport Surface Model: Departure Runway Prediction
The ML-airport-departure-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models i…
Machine Learning Airport Surface Model: Taxi-out Prediction
The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended…
NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis
The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as m…
NextGen Data Analytics: Letters of Agreement
Today, operation constraints are documented via Standard Operating Procedures (SOP) and Letters of Agreement (LOA) and are not made available to the public in a consistent manner.…
Unsupervised anomaly detection in flight data with deep variational autoencoders
This model is an unsupervised deep learning based anomaly detection for aircraft flight data based on variational autoencoders with convolutional architecture. The model is design…
Autoresolver/Tailored Arrival Manager
The Autoresolver system is a tool for autonomous air traffic management. It is designed to perform many of the tasks that air-traffic controllers have historically performed inclu…
Predictive flood modeling
The model is intended to solve the overtopping and/or failure of at-risk road culverts (drains) due to projected future extreme weather induced flooding, by identifying potential…
NETS automated waterway design
Surveying for and creating engineering designs for relatively simple practices is time consuming and limits getting programs implemented for producers in a timely manner