Copyright © 2020 Breaking Media, Inc. All rights reserved. That means Northrop Grumman can easily replace the game’s default information with more accurate characteristics, like undisclosed missile speeds or sensor ranges.For some scenarios, like a Cold War game where Warsaw Pact naval forces use submarines to launch an attack against NATO patrols in the Arctic sea, some of the information about vehicle and weapon capabilities is public and declassified and already incorporated into the game. Sign up for the Breaking Defense newsletter.ALBUQUERQUE: Northrop Grumman is building an AI designed to find new strategies to break virtual opponents. A layered approach comprised of NGI, Aegis BMD and THAAD could be available in the mid to late-2020s, which strengthens our defense against a rogue state missile attack. In more modern scenarios, such as a hypothetical battle in the South China Sea, the game incorporates an open-source understanding of the technical capabilities involved, and the open-source code allows users to update it with more publicly unavailable information.The open-source code also allows Northrop Grumman to easily insert their own AI agent into the game, and study how it interacts with all the available units. “In these applications AI finds asymmetrical conditions in a system (eg, the game or a real-world scenario) and communicates these conditions to stakeholders, such as military planners.”Gamebreaker program is focused on a range of real-time strategy games, or programs where players command a range of units with different characteristics in competition against each other. Experienced Collaboration to Break Down Boundaries of Predictive Modeling of Complex Systems. DARPA Selects PARC and University at Buffalo for Physics of AI Research Experienced Collaboration to Break Down Boundaries of Predictive Modeling of Complex Systems DARPA wants AI with baked-in physics knowledge. Tim Hinchliffe 3 months ago 2 Comments AI artificial intelligence darpa military technology video games.
Registration or use of this site constitutes acceptance of our This research will lead to innovative hybrid methods, especially in studying physically-grounded systems that integrate a systematic understanding of the physics of the systems with data-driven machine learning approaches.“Major limitations of existing purely data-driven statistical ‘black box’ methods include their inability to generalize beyond their initial set of training data, their agnostic view of underlying physics, resulting in model outputs that lack scientific coherency with the known laws of physics, and their ‘data-hungry’ nature that precludes them from being used in scientific problems and applications with limited or sparse data,” said Ion Matei, scientist at PARC. It is about novel tactics, without any of the limitations of human understanding holding back how the algorithm plots a path to victory.“Command offers considerable flexibility for manipulating the capabilities of the simulated combat units, and importantly, the game builds these units based on real-world systems,” said Bernstein. Although artificial intelligence is making its way into private- and public-sector enterprise systems, it has not gained as much traction in the Defense Department. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients’ businesses.Our work is centered around a series of Focus Areas that we believe are the future of science and technology.We’re continually developing new technologies, many of which are available for Commercialization.PARC scientists and staffers are active members and contributors to the science and technology communities.