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A.I.: Artificial Intelligence
Machine Learning
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A.I.: Artificial Intelligence: Machine Learning
Resources to get you started exploring the complexities of A.I.
OVERVIEW
Generative AI
Machine Learning
Human-Machine Teaming
Autonomous Systems
Ethical & Legal
Academic Use
Resource Key
Note: Items with a closed lock icon
are USAWC subscription resources and are password protected. All other items are open access and available to the public.
Regulations & Policies
Generative Artificial Intelligence: Overview, Issues, and Questions for Congress.
Congressional Research Service (June, 9, 2023).
"Machine Learning in Public Policy: The Perils and the Promise of Interpretability."
Peet, Evan D., et al. RAND Corporation (2022).
Books
AI and Machine Learning
by
Was Rahman
Call Number: ProQuest Ebook Central
ISBN: 9789353884437
Publication Date: 2020
AI At War: How Big Data, Artificial Intelligence, and Machine Learning Are Changing Naval Warfare.
by
Tangredi, Sam J and George Galdorisi
Call Number: ProQuest Ebook Central
ISBN: 9781682476345
Publication Date: 2021
An Introduction to Electronic Warfare; from the First Jamming to Machine Learning Techniques
by
Chi-Hao Cheng
Call Number: ProQuest Ebook Central
ISBN: 9788770224345
Publication Date: 2021
Computational Intelligence Techniques for Smart Cities
by
Mohamed Lahby (Editor); Utku Kose; Akash Kumar Bhoi
Call Number: Root Hall - TD159.4.E87 2022
ISBN: 9781032001128
Publication Date: 2021
Articles, Papers, & Reports
"Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning."
Cabreros, Irineo, et al. RAND Corporation (13 June 2023).
“An Intelligent Human-Unmanned Aerial Vehicle Interaction Approach in Real Time Based on Machine Learning Using Wearable Gloves.”
Müezzinoğlu, Taha, and Mehmet Karaköse. Sensors, Volume 21, Issue 5 (2021).
“Artificial Intelligence and Machine Learning for Hemorrhagic Trauma Care.”
Peng, Henry T, et al. Military Medical Research, Volume 10, Number 1 (2023): 1–20.
"Machine Learning, Explained."
Brown, Sara. MIT Management, Sloan School (April 21, 2021).
"Military Applications of Machine Learning: A Bibliometric Perspective."
Galán, José Javier, Ramón Alberto Carrasco, and Antonio LaTorre. Mathematics, Volume 10, Number 9 (2022): 1397-1424.
"Relaxing Assumptions, Improving Inference: Integrating Machine Learning and the Linear Regression."
Ratkovic, Marc. American Political Science Review, Volume 117, Number 3 (August 2023): 1053-1088. (Print journal available at Root Hall Library)
"Search and Learning for Unsupervised Text Generation."
Mou, L. AI Magazine Volume 43, Issue 4 (Winter 2022): 344– 352.
"Unsupervised Drones Swarm Characterization Using RF Signals Analysis and Machine Learning Methods."
Ashush, Nerya, et al. Sensors, Volume 23, Issue 3 (2023): 1589-1609.
Journals
Nature Machine Learning
Basingstoke: Nature Publishing Group.
Archival Resources
A Concept of the Role of Man in Automated Systems
by
William H. Melching
Call Number: Ridgway Hall - TA167.M44 1968
Publication Date: 1968
Think Tanks & Organizations
Institute for the Foundations of Machine Learning
Pardee Rand Center for Scalable Computing and Analysis
Rand: Machine Learning Research Compilation
Databases & Websites
UC Irvine Machine Learning Repository
Podcasts
Practical AI 228: From ML to AI to Generative AI
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