Army sets sights on 2024 for next Project Convergence

On the same subject

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  September 10, 2019 | International, C4ISR

  Jump-starting Europe’s work on military artificial intelligence

  By: Heiko Borchert und Christian Brandlhuber As the United States, China and Russia are accelerating their use of artificial intelligence in military settings, Europe risks falling behind unless leaders on the continent take steps to bundle their efforts. Estonia, Finland, France, Germany and the Netherlands presented a food-for-thought paper in May 2019, posing a series of questions aimed at boosting defense-relevant AI research in Europe. Our suggestion: Create a data mobility framework that would guide future concepts, models, algorithms, data sharing, access to elastic computing power, and sophisticated testing and training. Key challenges have yet to be addressed. Among them is a solid conceptual framework to help underline the benefits for armed forces. Second, AI solutions need to be integrated into a complex web of legacy systems, which puts a premium on interoperability. Third, defense AI solutions must comply with legal requirements. Finally, Europe lacks a common, trusted defense data pool. European leaders should take a lesson from the military mobility project, which simplifies and standardizes cross-border military transport procedures to ease the movement of personnel and equipment. Europe needs to match physical mobility with digital mobility. Data needs to travel, too. To stimulate defense AI solutions, the continent needs a platform economy that emerges around a portfolio of relevant infrastructure elements and services that a new “Center for Defense AI” could build. For the platform to become attractive, the data acquisition strategy must focus on the need to share. Readiness to share must be incentivized by a data pool that offers true, added value. Therefore, the center would offer access to data on anything from missile defense to combat aircraft maintenance under strict, government-controlled regulation, enabling users to build novel use cases for military scenarios. Mission-critical systems cannot rely on a single machine-learning technology but require a combined approach to data fusion that increases reliability and reflects the specific requirements of the different domains like land, sea, air, space and cyberspace. In addition, data must be validated to avoid manipulation. This data pool would become enormously attractive if the center managed to establish arrangements with the European Union and NATO to share data collected in international operations. This would provide an unprecedented opportunity to develop future concepts, models and algorithms based on real-life data reflecting mission requirements, environmental conditions in different theaters of operation and adversarial behavior. In addition, the European Defence Agency and NATO's Science and Technology Organization should make use of the joint data pool for their defense AI projects, thus expanding the data pool as well as the concepts and models used for data curation and solutions development. With the help of the European Defence Fund, the center could establish the first European defense data pool spanning across military services, missions and domains. This will drastically reduce data-handling costs, as data curation activities required for every single defense AI project can be pooled. While hugely important, data is only a means to develop capabilities-based AI solutions. That's why the center would offer complementary services addressing two current shortfalls: First, commonly available computing capacity required for large-scale learning is somewhat novel to the defense industry. A new defense AI cloud would significantly enhance data mobility by offering elastic computing capacity up to supercomputer levels, and dedicated data fusion capabilities currently unavailable to train very large-scale, AI-based data fusion models. Second, the center could provide a sophisticated simulation environment to run AI operations in a realistic battlefield environment. Based on its trusted data sources, the center and defense AI developers could join forces to build a defense AI app store. Apps could capture different sensor and effector characteristics or emulate particular patterns of adversarial behavior. Defense contractors and defense procurement agencies could use these apps to verify and validate new AI systems as if they had access to the respective algorithms, but without exposing the original vendor to the risk of being reverse engineered. In addition, the simulation environment would be instrumental to assess the ethical, legal and societal impact of AI solutions, thus providing a sound basis to decide on the use of AI systems and to enhance live, virtual, constructive training solutions. Europe should take bold steps toward channeling its collaborative defense AI activities, building on the strengths of each partner: The center would offer joint services; defense AI developers could concentrate on designing and producing intelligent sensors, effectors and decision-making solutions, while military end-users would contribute capabilities-based thinking and operational experience. Heiko Borchert runs Borchert Consulting & Research, a strategic affairs consultancy based in Lucerne, Switzerland. Christian Brandlhuber is senior adviser at Reply, a European IT systems integrator, and coordinates the company's AI strategy and activities. https://www.defensenews.com/opinion/2019/09/09/jump-starting-europes-work-on-military-artificial-intelligence/

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  May 29, 2020 | International, C4ISR

  How Army Futures Command plans to grow soldiers’ artificial intelligence skills

  By: Aaron Mehta WASHINGTON — With artificial intelligence expected to form the backbone of the U.S. military in the coming decades, the Army is launching a trio of new efforts to ensure it doesn't get left behind, according to the head of Army Futures Command. While speaking at an event Wednesday hosted by the Defense Writers Group, Gen. Mike Murray was asked about areas that need more attention as his command works to modernize the force. Murray pointed to a change in how the service does long-term planning, as well as two personnel efforts that could pay off in the long run. The first is something Murray has dubbed “Team Ignite,” which he described as “ad hoc, right now,” with a hope to formalize the process in the future. In essence, this means bringing in the teams that write the concept of operations for the military and having them work next to the technologists driving research and development efforts so that everything is incorporated early. “It has occurred to me for a long time that when we prepare concepts about how we will fight in the future, they are usually not informed by scientists and what is potentially out there in terms of technology,” Murray said. “And when we invest in technologies, rarely do we consult the concept writers to understand what type of technology will fundamentally change the way we fight in the future.” In Murray's vision, this means soon there will be “a concept writer saying, ‘If only I could [do something we can't do now], this would fundamentally change the way we would fight,' and a scientist or technologist saying, ‘Well, actually we can, you know, another 10-15 years,' and then vice versa,” he said. “Really using that to drive where we're investing our science and technology dollars, so that in 10 or 15 years we actually can fundamentally change the way we're going to fight.” The Futures Command chief also laid out two new efforts to seed understanding of AI throughout the force, saying that “a key component of the Army moving more and more into the area of artificial intelligence is the talent that we're going to need in the formation to do that.” Murray described a ”recently approved” masters program to be run through Carnegie Mellon University, focusing on bringing in “young officers, noncommissioned officers and warrant officers” to teach them about artificial intelligence. The course features four to five months of actual learning in the classroom, followed by five or six months working for the Army's AI Task Force. After that, the officers are sent back the force, bringing with them their AI experience. Additionally, Murray is in the early stages of standing up what he described as a “software factory” to try and identify individual service members who have some computer skills, pull them out of their normal rotations and give them training on “basic coding skills” before sending them back to the force. “We're going to need a lot of these types of people. This is just [the] beginning, to seed the Army with the types of talent we're going to need in the future if we're going to take advantage of data, if we're going to take advantage of artificial intelligence in the future,” he said. https://www.defensenews.com/land/2020/05/28/how-army-futures-command-plans-to-grow-ai-skills-in-the-service/

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  June 23, 2022 | International, Land

  France requests Switchblade loitering munition to fill 'urgent' capability gap

  The French Army has started the process of quickly procuring American-made loitering munitions as part of a longer-term effort to field remotely operated weapon systems, according to officials.