Lance Menthe

A RAND Analysis Tool for Intelligence, Surveillance, and Reconnaissance

The Collections Operations Model

The RAND Corporation's Collection Operations Model (COM) is a stochastic, agent-based simulation tool designed to support the analysis of command, con...

Motion Imagery Processing and Exploitation (MIPE)

This report defines and investigates the potential of motion imagery processing and exploitation (MIPE) systems, which can help U.S. military intellig...

The Effectiveness of Remotely Piloted Aircraft in a Permissive Hunter-killer Scenario

This report analyzes the operational effectiveness of several new concepts for employing remotely piloted aircraft in a permissive “hunter-killer”...

Understanding the Limits of Artificial Intelligence for Warfighters

Wargames, Volume 4

Rapid progress in artificial intelligence (AI) for game-playing has inspired intense interest in the possible benefits of the technology for wargames....

Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control

Findings and recommendations

This report concerns the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2) from a technical perspecti...

Outsmarting Agile Adversaries in the Electromagnetic Spectrum

RAND researchers conducted case studies comprising key elements necessary for creating near-real-time, autonomous, inflight software reprogramming and...

Understanding the Limits of Artificial Intelligence for Warfighters

Summary

The U.S. Air Force is increasingly interested in the potential for artificial intelligence (AI) to enhance various aspects of warfighting. This projec...

Technology Innovation and the Future of Air Force Intelligence Analysis

Volume 1, Findings and Recommendations

There is growing demand for the Air Force Distributed Common Ground System (AF DCGS) to analyze sensor data. The authors assessed how new tools and te...

Operationally Relevant Artificial Training for Machine Learning

Improving the Performance of Automated Target Recognition Systems

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Technology Innovation and the Future of Air Force Intelligence Analysis

Volume 2, Technical Analysis and Supporting Material

The authors recommend tools, technologies, and processes to address the growing demand for Air Force Distributed Common Ground System support as it re...

Data-Enabled Approaches for Enhancing the Air Force Transformational Capability Pipeline

To aid the Air Force Transformational Capabilities Office, the authors of the report developed a data science tool to extract information from free-te...

Assessing the Value of Intelligence Collected by U.S. Air Force Airborne Intelligence, Surveillance, and Reconnaissance Platforms

The changes in intelligence, surveillance, and reconnaissance (ISR) and processing, exploitation, and dissemination (PED) capabilities over the past t...

Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control: Findings and recommendations

This report describes the potential for artificial intelligence (AI) systems to assist in Air Force command and control (C2). The authors develop a fr...

Leveraging the Past to Prepare for the Future of Air Force Intelligence Analysis

This report describes steps the U.S. Air Force can take to help ensure that it has the capability needed to provide intelligence analysis support to a...

Virtual Collaboration for a Distributed Enterprise

The geographic diversity of many military enterprises, their partners, and their customers has made virtual collaboration vital to their daily operati...

The Future of Air Force Motion Imagery Exploitation

Lessons from the Commercial World

The information explosion resulting from vast amounts of new motion imagery threatens to leave Air Force intelligence analysts drowning in data. One a...

Graph Theoretic Algorithms for the Ground Based Strategic Deterrent Program

Prioritization and Scheduling

During the execution of programs, managers must orchestrate the planning and performance of upwards of tens of thousands of interdependent tasks. Many...

OUTSMARTING AGILE ADVERSARIES IN THE ELECTROMAGNETIC SPECTRUM

Executive Summary

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Exploring the Feasibility and Utility of Machine Learning-assisted Command and Control

Supporting technical analysis

This volume serves as the technical analysis to a report concerning the potential for artificial intelligence (AI) systems to assist in Air Force comm...