Publications
GraphChallenge.org triangle counting performance [e-print]
Summary
Summary
The rise of graph analytic systems has created a need for new ways to measure and compare the capabilities of graph processing systems. The MIT/Amazon/IEEE Graph Challenge has been developed to provide a well-defined community venue for stimulating research and highlighting innovations in graph analysis software, hardware, algorithms, and systems...
A framework to improve evaluation of novel decision support tools
Summary
Summary
Organizations that introduce new technology into an operational environment seek to improve some aspect of task conduct through technology use. Many organizations rely on user acceptance measures to gauge technology viability, though misinterpretation of user feedback can lead organizations to accept non-beneficial technology or reject potentially beneficial technology. Additionally, teams...
This looks like that: deep learning for interpretable image recognition
Summary
Summary
When we are faced with challenging image classification tasks, we often explain our reasoning by dissecting the image, and pointing out prototypical aspects of one class or another. The mounting evidence for each of the classes helps us make our final decision. In this work, we introduce a deep network...
On-demand forensic video analytics for large-scale surveillance systems
Summary
Summary
This work presents FOVEA, an add-on suite of analytic tools for the forensic review of video in large-scale surveillance systems. While significant investment has been made toward improving camera coverage and quality, the burden on video operators for reviewing and extracting useful information from the video has only increased. Daily...
Feature forwarding for efficient single image dehazing
Summary
Summary
Haze degrades content and obscures information of images, which can negatively impact vision-based decision-making in real-time systems. In this paper, we propose an efficient fully convolutional neural network (CNN) image dehazing method designed to run on edge graphical processing units (GPUs). We utilize three variants of our architecture to explore...
AI enabling technologies: a survey
Summary
Summary
Artificial Intelligence (AI) has the opportunity to revolutionize the way the United States Department of Defense (DoD) and Intelligence Community (IC) address the challenges of evolving threats, data deluge, and rapid courses of action. Developing an end-to-end artificial intelligence system involves parallel development of different pieces that must work together...
Artificial intelligence: short history, present developments, and future outlook, final report
- Artificial Intelligence Technology and Systems
- Homeland Sensors and Analytics
- Lincoln Laboratory Supercomputing Center
- Cyber System Assessments
- Cyber Operations and Analysis Technology
- Cyber-Physical Systems
- Artificial Intelligence Software Architectures and Algorithms
- Space Systems Analysis and Test
Summary
Summary
The Director's Office at MIT Lincoln Laboratory (MIT LL) requested a comprehensive study on artificial intelligence (AI) focusing on present applications and future science and technology (S&T) opportunities in the Cyber Security and Information Sciences Division (Division 5). This report elaborates on the main results from the study. Since the...
Simulation approach to sensor placement using Unity3D
Summary
Summary
3D game simulation engines have demonstrated utility in the areas of training, scientific analysis, and knowledge solicitation. This paper will make the case for the use of 3D game simulation engines in the field of sensor placement optimization. Our study used a series of parallel simulations in the Unity3D simulation...
Learning network architectures of deep CNNs under resource constraints
Summary
Summary
Recent works in deep learning have been driven broadly by the desire to attain high accuracy on certain challenge problems. The network architecture and other hyperparameters of many published models are typically chosen by trial-and-error experiments with little considerations paid to resource constraints at deployment time. We propose a fully...
Cloud computing in tactical environments
Summary
Summary
Ground personnel at the tactical edge often lack data and analytics that would increase their effectiveness. To address this problem, this work investigates methods to deploy cloud computing capabilities in tactical environments. Our approach is to identify representative applications and to design a system that spans the software/hardware stack to...