FSS17-DMAI4MA: The AAAI 2017 Fall Symposium Series - Deep Models and AI for Military Applications Westin Arlington Gateway Arlington, VA, United States, November 9-11, 2017 |
Submission link | https://easychair.org/conferences/?conf=fss17dmai4ma |
Abstract registration deadline | July 21, 2017 |
Submission deadline | July 21, 2017 |
Deep Models and Artificial Intelligence for Military Applications: Potentials, Theories, Practices, Tools and Risks (DMAI4MA)
Objectives
With advancements in computer storage capacity and parallel processing, Big Data has become omnipresent. Related to Big Data is Deep Analytics, which includes machine learning (ML) and artificial intelligence (AI). These methods and tools are abundant in the commercial world. However, they may not be appropriate to solve military problems. Military applications require data sources that are distributed, disparate, multi-sourced and real-time and are of extremely high rates, high volumes and high varieties. The needs for information sharing and agility as well as strict security make the problem more complex, and these problems often require new mathematical approaches to optimization.
Traditional ML and AI have adapted into Deep Analytics. How can these algorithms be modified so they can be executed in parallel in thousands of clusters for Big Data? These challenges are not only for military applications, but also for all Big Data applications.
For military applications, many Deep Analytics ideas have been researched for years, for example, data fusion models. There are many Deep Analytics and AI challenges for Military applications that have not been adequately addressed in industrial applications. Evidence also shows that some AI capabilities that already or gradually surpass the corresponding human intelligence and capabilities which leads to issues of benefits and risks of human-in-the-loop AI.
The objective of the workshop is to foster collaborations and form communities for the theories and practices of Deep Models to military applications. We solicit unclassified research, papers, collaborations and innovative ideas for military applications.
Topics
What are the potentials, theories, practices, tools and risks using the following Deep Models (i.e., models with large number of parameters that can be trained by Big Data)?
- Deep data fusion models
- Various types of machine learning models (e.g., supervised learning, reinforcement learning, and unsupervised learning).
- Deep learning models such as deep machine vision and image processing models
- Pattern recognition and anomaly detection algorithms
- Advanced optimization algorithms
- Network models
- Graph models
- Game theory models
- Link analysis models
- Parallel and distributed computing models
- Smart data outputs from deep analytics
- Visualizations and depictions of smart data outputs
- Decision making models
- Cognitive models
- Using AI and human capabilities fused and optimized together, or is there optimized human-in-the-loop AI?
- Advanced optimization algorithms and online learning
- Cyber security, ethical/open AI
Format of Symposium
The workshop will consist of keynote talks, invited talks, tutorials, oral presentations, poster/demo presentation, and panel discussions.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Regular/Full Papers: 8 pages, use the 2017 AAAI Author Kit at http://www.aaai.org/Conferences/AAAI/2017/aaai17call.php
- Poster/Short/Position Papers: 4 pages, use the 2017 AAAI Author Kit at http://www.aaai.org/Conferences/AAAI/2017/aaai17call.php
Committees
Organizing committee
- Ying Zhao, Ph.D., Naval Postgraduate School
- Arjuna Flenner, Ph.D., Navy-NAVAIR China Lake
- Nate Derbinsky, Ph.D., Wentworth Institute of Technology
Organizing committee
- David A. Bader, Georgia Institute of Technology
- Bonnie Johnson, Naval Postgraduate School
- Charles Zhou, Quantum Intelligence, Inc.
Contact
All questions about submissions should be emailed to yzhao@nps.edu