Overcoming Software Architecture Challenges for ML-Enabled Systems

reportActive / Technical Report | Accesssion Number: AD1150241 | Open PDF

Abstract:

An AI-enabled system is a software system with one or more AI component(s) that need to be developed, deployed, and sustained along with the other software and hardware elements of the system.

Author(s):
Ozkaya, Ipek
Author Organization(s):
CARNEGIE-MELLON UNIV PITTSBURGH PA
Funding Organization(s):
AIR FORCE LIFE CYCLE MANAGEMENT CENTER HANSCOM AFB MA, HANSCOM AFB , MA
Document Type:
Technical Report/Briefing Charts
Publication Date:
2020 Jan 01
Pagination:
19

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release

RECORD

Collection: TRECMS
Identifying Numbers
Contract Number(s):
FA-8702-15-D-0002
Subject Terms
Modernization Areas:
Autonomy
Communities of Interest:
Autonomy
Descriptor(s):
artificial intelligence, software design, software development, department of defense, computer science, engineering, information processing, information systems, technical debt, life cycles, machine learning, universities, materials, monitoring, personal information managers, training
Keyword(s):
AI(ARTIFICAL INTELLIGENCE)
Subject Categories:
Mathematical and Computer Sciences
Creation Date:
2021 Oct 27
Update Date:
2021 Dec 20