OMB Individually Reported
Natural Language Processing
Low riskExact public inventory row
Description
Developed natural language processing (NLP) algorithms will be used to help categorize and understand various energy storage efforts in the R&D communities. Additionally, trends within the discovered and selected topical focus areas in energy storage
Detailed example
Data
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
Categorize and understand energy storage efforts
Audit / financial statement impact
Limited to a specific area of research
Controls / human review
ATO: Not reported; PIA: Not published