Toward a Framework for Artificially Intelligent Warfare: Measures of Effectiveness for Unsupervised Deep Learning in DoD Autonomous Systems

Text Registration

Toward a Framework for Artificially Intelligent Warfare: Measures of Effectiveness for Unsupervised Deep Learning in DoD Autonomous Systems

Status

Published

on 10 Sept 2019

Year of Creation

2019

Courtney Crosby

Registration Number

TX0008787892

on 10 Sept 2019

The U.S. Copyright record (Registration Number: TX0008787892) dated 10 Sept 2019, pertains to an electronic file (eService) titled "Toward a Framework for Artificially Intelligent Warfare: Measures of Effectiveness for Unsupervised Deep Learning in DoD Autonomous Systems" created in 2019. The copyright holder is Courtney Crosby, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Courtney Crosby.

Courtney Crosby

Application Details

Registration Number

TX0008787892

Registration Date

9/10/2019

Year of Creation

2019

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Courtney Crosby

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Toward a Framework for Artificially Intelligent Warfare: Measures of Effectiveness for Unsupervised Deep Learning in DoD Autonomous Systems

Author Statement: Courtney Crosby Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Toward a Framework for Artificially Intelligent Warfare: Measures of Effectiveness for Unsupervised Deep Learning in DoD Autonomous Systems

Author Statement: Courtney Crosby Citizenship: not known Authorship: text

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