Presentation + Paper
12 April 2021 Artificial intelligence and machine learning: a perspective on integrated systems opportunities and challenges for multi-domain operations
Ravi Ravichandran, Chee-Yee Chong, Robert E. Smith
Author Affiliations +
Abstract
This paper provides a perspective on historical background, innovation and applications of Artificial Intelligence (AI) and Machine Learning (ML), data successes and systems challenges, national security interests, and mission opportunities for system problems. AI and ML today are used interchangeably, or together as AI/ML, and are ubiquitous among many industries and applications. The recent explosion, based on a confluence of new ML algorithms, large data sets, and fast and cheap computing, has demonstrated impressive results in classification and regression and used for prediction, and decision-making. Yet, AI/ML today lacks a precise definition, and as a technical discipline, it has grown beyond its origins in computer science. Even though there are impressive feats, primarily of ML, there still is much work needed in order to see the systems benefits of AI, such as perception, reasoning, planning, acting, learning, communicating, and abstraction. Recent national security interests in AI/ML have focused on problems including multidomain operations (MDO), and this has renewed the focus on a systems view of AI/ML. This paper will address the solutions for systems from an AI/ML perspective and that these solutions will draw from methods in AI and ML, as well as computational methods in control, estimation, communication, and information theory, as in the early days of cybernetics. Along with the focus on developing technology, this paper will also address the challenges of integrating these AI/ML systems for warfare.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ravi Ravichandran, Chee-Yee Chong, and Robert E. Smith "Artificial intelligence and machine learning: a perspective on integrated systems opportunities and challenges for multi-domain operations", Proc. SPIE 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, 1174606 (12 April 2021); https://doi.org/10.1117/12.2587216
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KEYWORDS
Artificial intelligence

Machine learning

Telecommunications

Computing systems

Computer science

Control systems

Defense and security

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