Advancing AI solutions is part of Carnegie Mellon, ARL $72 million research agreement
NewsMarch 11, 2019
ADELPHI, Md. Officials at the Combat Capabilities Development Command (CCDC) Army Research Laboratory, the U.S. Army's corporate laboratory (ARL), announced that Carnegie Mellon University (CMU) will lead a consortium of multiple universities to work in collaboration with the Army lab to accelerate research and development (R&D) of advanced algorithms, autonomy, and artificial intelligence (AI) to enhance national security and defense.
The U.S. Army is investing $72 million in a five-year artificial intelligence fundamental research effort to research and discover capabilities that would significantly enhance mission effectiveness across the Army by augmenting soldiers, optimizing operations, increasing readiness, and reducing casualties.
By integrating transformational research from top academic institutions across the U.S. with the operational expertise and mission-focused research from within CCDC, the Army will be able to drastically accelerate the impact of Battlefield AI, officials explain.
Under the agreement, Carnegie Mellon and the team of academic research institutions will focus on fundamental research to develop robust operational AI solutions to enable autonomous processing, exploitation, and dissemination of intelligence and other critical, operational, decision-support activities, and to support the increased integration of autonomy and robotics as part of highly effective human-machine teams.
For the Army, advances in fundamental research in AI will enable distributed shared understanding and autonomous maneuver, and facilitate human-AI teaming that can jointly and rapidly respond to dynamic adversarial events while retaining human-like adaption; adversarial learning to defeat the enemy's AI; autonomous networking that adapts to electromagnetic/cyber events; analytics that rapidly learn/reason for situational awareness with uncertain/conflicting data; and autonomous maneuver/teaming behavior and decision-making that increases survivability in a highly contested environment.
