The Army just committed $72 million to battlefield Artificial Intelligence
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.
Today, the Combat Capabilities Development Command Army Research Laboratory, the U.S. Army's corporate laboratory (ARL), announced that Carnegie Mellon University will lead a consortium of multiple universities to work in collaboration with the Army lab to accelerate research and development of advanced algorithms, autonomy and artificial intelligence to enhance national security and defense. By integrating transformational research from top academic institutions across the US with the operational expertise and mission-focused research from within CCDC, the Army will be able to drastically accelerate the impact of Battlefield AI.
"Tackling difficult science and technology challenges is rarely done alone and there is no greater challenge or opportunity facing the Army than Artificial Intelligence," said Dr. Philip Perconti, director of the Army's corporate laboratory. "That's why ARL is partnering with Carnegie Mellon University, which will lead a consortium of universities to study AI. The Army is looking forward to making great advances in AI research to ensure readiness today and to enhance the Army's modernization priorities for the future."
(U.S. Dept of Defense photo by Peggy Frierson)
This Cooperative Agreement for fundamental research was formed as a result of collaboration that initially started between the Army Research Laboratory and Carnegie Mellon under ARL's "Open Campus" initiative, which Carnegie Mellon joined earlier in 2018. 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 almost 30 years, the Army Research Laboratory has been at the forefront of bold initiatives that foster greater collaboration with U.S. universities," said CMU President Farnam Jahanian. "At this time of accelerating innovation, Carnegie Mellon is eager to partner with ARL and with universities across the nation to leverage the power of artificial intelligence and better serve the Army mission in the 21st century."
In support of Multi-Domain Operations (MDO), AI is a "crucial technology to enhance situational awareness and accelerate the realization of timely and actionable information that can save lives," said Andrew Ladas, who leads ARL's Army Artificial Intelligence Innovation Institute (A2I2). Through this work, he said researchers expect to achieve automated sense making, or the ability for AI to recognize scenes and generate real-time, actionable correlations, insights and information for humans.
An adversary with AI capabilities could mean new threats to military platforms including human-in-the-loop platforms, or technologies that require human interaction, and autonomous platforms.
"The changing complexity of future conflict will present never-seen-before situations wrought with noisy, incomplete and deceptive tactics designed to defeat AI algorithms," said Ladas. "Success in this battlefield intelligence race will be achieved by increasing AI capabilities as well as uncovering unique and effective ways to merge AI with soldier knowledge and intelligence."
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.