Data analysis and pattern recognition
National Aeronautics and Space Administration · MSFC: Marshall Space Flight Center
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-04-29 (day precision)Source: 04/29/2025 00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Science
- Operational functions
- Search and knowledge retrieval Derived by keyword rules; see methodology
Problem the AI is intended to solve
We are often found using optical evaluation on specimens that do not necessarily have a textbook approach to evaluation. By feeding into the knowledge base and creating an agent Chat GSFC can give some reasonable evaluation and cross reference our thoughts with related publications. It can also recommend test data and perform evaluations of the raw data, say from an XRD readout rather quickly as compared to doing it by hand. The key is to feed it known calibrated data for its knowledge base.
Expected benefits
We are often found using optical evaluation on specimens that do not necessarily have a textbook approach to evaluation. By feeding into the knowledge base and creating an agent Chat GSFC can give some reasonable evaluation and cross reference our thoughts with related publications. It can also recommend test data and perform evaluations of the raw data, say from an XRD readout rather quickly as compared to doing it by hand. The key is to feed it known calibrated data for its knowledge base.
System outputs
evaluations of raw data
Technology
- AI classification
- Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
- System name(s)
- ChatGSFC
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- optical evaluations on specimens
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported