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2023-2024 CISA Roadmap for Artificial Intelligence

Description: This report serves as a guide for CISA's AI-related efforts, ensuring both internal coherence as well as alignment with the whole-of-government AI strategy. It incorporates key CISA-led actions as directed by Executive Order 14110, along with additional actions CISA is leading to promote AI security and support critical infrastructure owners and operators as they navigate the adoption of AI.
Date: November 2023
Creator: United States. Cybersecurity & Infrastructure Security Agency
Partner: UNT Libraries Government Documents Department
open access

Final Report of the Emerging Technologies Subcommittee - AI and Machine Learning

Description: This report asserts that the accelerated pace of the technological change in today's global research and development ecosystem is creating both risks and opportunities in the Department of Homeland Security's (DHS) mission domain. To assist the DHS in forecasting both threats and opportunities, work with partners, and improve the ability of DHS components to execute mission critical objectives, the Secretary chartered the Emerging Technologies Subcommittee of the Homeland Security Advisory Coun… more
Date: November 14, 2019
Creator: Allen, Thad; Lanier, Cathy; Rose, Robert; Carrick, Patrick; Cilluffo, Frank; Dannels, Mark et al.
Partner: UNT Libraries Government Documents Department
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NURE Aerial Gamma-Ray and Magnetic Reconnaissance Survey, [California]-Arizona Area, Volume 1 - Narrative Report: Salton Sea (NI 11-9), Phoenix (NI 12- 7), El Centro (NI 11-12), Ajo (NI 12-10), Lukeville (NH 12-1) Quadrangles

Description: From abstract "As part of the Department of Energy (DoE) National Uranium Resource Evaluation Program, LKB Resources, Inc. has performed a rotary-wing reconnaissance high sensitivity radiometric and magnetic survey, encompassing several 1:250,000 quadrangles in southwestern Arizona and southeastern California. The surveyed area consisted of approximately 9300 line miles. The radiometric data was corrected and normalized to 400 feet terrain clearance. The data was identified as to rock type by c… more
Date: November 1979
Creator: Bendix Field Engineering Corporation. Grand Junction Operations.
Location: None
Partner: UNT Libraries Government Documents Department
open access

Guidelines for secure AI system development

Description: This report recommends guidelines for providers of any systems that use artificial intelligence. This content is aimed primarily at providers of AI systems who are using models hosted by an organization, or are using external application programming interfaces.
Date: November 27, 2023
Creator: Great Britain. Government Communications Headquarters (1948- ) National Cyber Security Centre
Partner: UNT Libraries Government Documents Department
open access

2016-2019 Progress Report: Advancing Artificial Intelligence R&D

Description: This report documents the important progress that agencies are making to deliver on Federal AI research and development.
Date: November 2019
Creator: Artificial Intelligence Research & Development Interagency Working Group
Partner: UNT Libraries Government Documents Department
open access

National Strategic Computing Initiative Update: Pioneering the Future of Computing

Description: This report is an update to the original computing plan from 2016. This update examines the initiatives from the original 2016 report, outlines key goals, and proposes recommendations to achieve those goals.
Date: November 2019
Creator: National Science and Technology (U.S.). Fast-Track Action Committe on Strategic Computing
Partner: UNT Libraries Government Documents Department
open access

Recommendations for Leveraging Cloud Computing Resources for Federally Funded Artificial Intelligence Research and Development

Description: This report identifies four key recommendations for how the federal government can better enable the use of cloud computing resources for federally funded AI research and development. These recommendations were proposed by the Select Committee on Artificial Intelligence.
Date: November 17, 2020
Creator: Alterovitz, Gil; Biswas, Rupak; Brennan, Patricia F.; Gianchandani, Erwin; Parker, Lynne; Ramaswamy, Venkatachalam et al.
Partner: UNT Libraries Government Documents Department
open access

An Ultrasonic Method for Bond Testing Reactor Fuel Elements

Description: Ultrasonic testing has been investigated as a possible non-destructive method for checking the bond integrity of certain type fuel elements. Equipment has been developed to inspect experimental fuel elements for various research programs. Circuits have been devised to discriminate the size of defects and to map the areas which are unbonded.
Date: November 27, 1956
Creator: Worlton, D. C.
Partner: UNT Libraries Government Documents Department
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