Recent advances in machine learning have created an opportunity to embed artificial
intelligence in software-intensive systems. These artificial intelligence systems, however …

The field of data-driven, neural-network-based machine learning (ML) has seen significant
growth, with applications in various information and control systems. Despite promising real …

Artificial intelligence is developing at a rapid pace, with examples of machine learning
already being used in aviation to improve efficiency. In the coming decade, it is likely that …

Machine learning (ML) models are costly to train as they can require a significant amount of
data, computational resources and technical expertise. Thus, they constitute valuable …

SUMMARY & CONCLUSIONSMany applications of artificial intelligence (AI)/assistive
automation are in the Army's pipeline of developmental technologies and systems. Ensuring …

Artificial intelligence (AI) applications driven by machine learning (ML) are transformational
technologies within the international nuclear security regime. Advancements realized by AI …

Statistical and machine learning (ML) models have been the primary tools for data-driven
analysis for decades. Recent theoretical progress in deep neural networks (DNNs) coupled …

The use of Artificial Intelligence (AI)-based systems, using particularly Machine Learning
(ML) classifiers, is growing rapidly and finding uses in many industries. Most of these …

Turning cutting-edge research into operational capabilities is the currency of cyber
operations. The vulnerability no one else knows about, one found by someone with highly …

Securing against AI vulnerabilities has rapidly risen to attention in US policy. AI systems are
vulnerable to attack and unintentional failure. While there have yet to be catastrophic …