This post was adapted from a story was written by UMBC News staff that first appeared on news.umbc.edu.
From surveillance tools to autonomous machines, countries around the world are ramping up their military artificial intelligence (AI) assets. Such robust technologies are necessary to protect the United States from surprise attacks, which occur these days not only on the ground, but also on the cloud.
Advancing AI-based autonomous systems for military use will be the goal for a team of UMBC researchers that has recently been awarded a $20-million subcontract. UMBC will partner with the University of Maryland, College Park (UMD), and the DEVCOM Army Research Lab (ARL) on the $68-million, five-year endeavor, which ARL is funding. The goal is to strengthen army AI technology so it is able to meet the demands of today’s national defense.
“The question we’re trying to solve is: Can we design and develop tools, techniques, algorithms, software, and hardware that can work autonomously and make their own decisions, but also collectively, interfacing with human decision-makers?” says UMBC’s principal investigator Aryya Gangopadhyay, professor of information systems. “The landscape of war is changing, and we must build systems that can make human-like decisions in real-time and under real-world pressure.”
The project, AI and Autonomy for Multi-Agent Systems (ArtIAMAS), aims to advance science and technology around three core research areas: collaborative autonomy; harnessing the data revolution; and human-machine teaming. UMBC’s role in the project will center on the second and third research thrusts.
More specifically, the UMBC team will develop solutions for AI-based networking, sensing, and edge computing — which brings data storage and computation closer to a location — for battlefield Internet of Things (IoT). This will allow them to deliver secure, effective, and resilient U.S. Army assets including AI systems related to search-and-rescue, surveillance, robots, and machinery, and augmenting humans in performing decision-making tasks.
In addition to Gangopadhyay and Roy, the UMBC team also includes faculty from the Information Systems, CSEE, Mathematics and Statistics and Physics departments, including Anupam Joshi, Tinoosh Mohsenin, Dmitri Perkins, Sanjay Purushotham, Maryam Rahnemoonfar, Jianwu Wang, and Ting Zhu. The ArtIAMAS cooperative agreement is led by PI Derek Paley, director of UMD’s Maryland Robotics Center.
Read the full story on news.umbc.edu.
This site uses functional cookies and external scripts to improve your experience.
Privacy Settings and Information
This site uses functional cookies and external scripts to improve your experience. Which cookies and scripts are used and how they impact your visit is specified on the left. Your choices will not impact your visit.
NOTE: Third-party Google scripts on this website may have access to cross-site third-party cookies under the google.com domain. We, the CSEE Department, do not access, read, or write these third-party cookies, and as a result, we do not control their presence on your browser. You may block them by using a third-party cookie blocker in your browser.
If you click Accept below to accept the general cookie consent, then a “wpgdprc-consent” cookie will be stored on your browser, to record your general consent.
If you click Accept below to accept the general cookie consent, and also have Google Analytics cookies enabled (on the sidebar to the left), the CSEE Department website will store and access Google Analytics cookies on your browser. We use the data from these cookies to collect information on website usage statistics and improve user experience. If you do not wish to allow Google Analytics cookies on your browser, then either do not click Accept on the bottom bar, or disable Google Analytics on the left.
If you log in to this website, then several Wordpress cookies and session variables will be stored on your browser. Accessing the login screen constitutes your consent to have Wordpress cookies and session variables stored on your computer.
The CSEE Department website makes use of several external scripts to improve user experience. These include, but are not necessarily limited to: Google Calendar, Google Analytics, and ReCAPTCHA. If you choose to use this website, then you agree to allow these scripts to be loaded and executed.
NOTE: These settings will only apply to the browser and device you are currently using.
Enables Google Analytics.
©2023 University of Maryland Baltimore County Computer Science and Electrical Engineering Department
1000 Hilltop Circle, ITE 325, Baltimore, Maryland 21250
College of Engineering and Information Technology
| Contact Us
| Equal Opportunity
| Consumer Information