[HTML][HTML] Deep networks for system identification: a survey
Deep learning is a topic of considerable current interest. The availability of massive data
collections and powerful software resources has led to an impressive amount of results in …
collections and powerful software resources has led to an impressive amount of results in …
The societal implications of deep reinforcement learning
Abstract Deep Reinforcement Learning (DRL) is an avenue of research in Artificial
Intelligence (AI) that has received increasing attention within the research community in …
Intelligence (AI) that has received increasing attention within the research community in …
A global perspective of soft law programs for the governance of artificial intelligence
Soft law is defined as a program that sets substantive expectations, but is not directly
enforceable by government. Because soft law is not bound by a geographic jurisdiction and …
enforceable by government. Because soft law is not bound by a geographic jurisdiction and …
The AI commander problem: Ethical, political, and psychological dilemmas of human-machine interactions in AI-enabled warfare
J Johnson - Journal of Military Ethics, 2022 - Taylor & Francis
Can AI solve the ethical, moral, and political dilemmas of warfare? How is artificial
intelligence (AI)-enabled warfare changing the way we think about the ethical-political …
intelligence (AI)-enabled warfare changing the way we think about the ethical-political …
Contractors or robots? Future warfare between privatization and automation
A Calcara - Small Wars & Insurgencies, 2022 - Taylor & Francis
Contemporary warfare is increasingly shaped by the complex relationship between the
privatization of security and technologically driven automation. On the one hand, there is a …
privatization of security and technologically driven automation. On the one hand, there is a …
[書籍][B] Evaluating the effectiveness of artificial intelligence systems in intelligence analysis
D Ish, J Ettinger, C Ferris - 2021 - apps.dtic.mil
This research develops methodologies for understanding the mission impact of deploying
artificial intelligence (AI) systems to support intelligence missions as a function of the …
artificial intelligence (AI) systems to support intelligence missions as a function of the …
LSTM-based projectile trajectory estimation in a GNSS-denied environment
This paper presents a deep learning approach to estimate a projectile trajectory in a GNSS-
denied environment. For this purpose, Long-Short-Term-Memories (LSTMs) are trained on …
denied environment. For this purpose, Long-Short-Term-Memories (LSTMs) are trained on …
[PDF][PDF] Improving defense acquisition
JP Wong, O Younossi, CK LaCoste, PS Anton… - … , Santa Monica, Calif http …, 2022 - dau.edu
This report highlights the RAND Corporation's work over 35 years (1986–2021) analyzing
and addressing challenges that the US Department of Defense (DoD) has faced in acquiring …
and addressing challenges that the US Department of Defense (DoD) has faced in acquiring …
Acquiring artificial intelligence systems: Development challenges, implementation risks, and cost/benefits opportunities
J Mun, T Housel, R Jones, B Carlton… - Naval Engineers …, 2020 - ingentaconnect.com
The acquisition of artificial intelligence (AI) systems is a relatively new challenge for the US
Department of Defense (DoD). Given the potential for high-risk failures of AI system …
Department of Defense (DoD). Given the potential for high-risk failures of AI system …
Modeling of quantum-like cognitive phenomena by the Fourier-holography technique under the choice of alternatives
AV Pavlov - Computer Optics, 2021 - ui.adsabs.harvard.edu
The article is dedicated to the search for a biologically motivated mechanism of the cognitive
phenomenon of violation of the classical formula of total probability for the disjunction of …
phenomenon of violation of the classical formula of total probability for the disjunction of …