Enhancements to T-Rex and D-Rex
Description
Enhancement and further training of the NASA Technology Taxonomy and Target Technology Destination recommendation systems, known as T-Rex and D-Rex respectively. T-Rex and D-Rex are predictive AI models residing in the NASA TechPort system that help technologists more efficiently categorize technology using the NASA Technology Taxonomy and Target Technology Destinations. These models help ensure completeness of the categorization of technologies in the portfolio, and are used as verification and validation tools.
Detailed example
Predictions
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The NASA TechPort system catalogs over 2,000 technology investments made by the Agency each year. Technologists spend a significant amount of time manually categorizing technology project investments according to the NASA Technology Taxonomy and Target Technology Destinations. The benefit to the american public is improved model accuracy by more than 8% and the saving of over 330 hours of manual labor each year.
Controls / human review
ATO: Not reported; PIA: Not published