Could these 5 projects transform defense?

On the same subject

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  July 2, 2024 | International, C4ISR

  Intelligence Community’s IT roadmap shows way to a data-centric future

  Opinion: To achieve data-centricity at scale, the IC must govern and manage data cohesively, at every point of the data lifecycle.

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  July 18, 2018 | International, Aerospace, C4ISR

  US Air Force looks to accelerate artificial intelligence contracts

  FARNBOROUGH, England — The Air Force is still not moving fast enough to recruit the software talent that it needs to harness emerging technologies like artificial intelligence, its acquisition head said Tuesday. "I don't think we're attracting enough people. Whether they're the right people or not, I think that's a separate question. I'm not sure that we'll be able to answer that until we're working with a broader set of the industry base that's working AI,” Will Roper, the Air Force's undersecretary for acquisition, technology and logstics, told reporters at Farnborough Airshow. “I contend that the companies driving AI are a different breed of company than those who drive evolution in hardware, especially companies that drove hardware that have gotten us to today's military. The paces are faster, turnovers are quicker. Software is done in month cycles not year cycles.” Over the past year, the Air Force has charted some successes and some failures in its attempts to integrate tech like AI and big data analytics with legacy hardware systems like fighter jets or air operations center. It has established the Kessel Run Experimentation Lab, a group of industry and airmen in Boston that are iterating new capabilities for air operations centers. Instead of rolling out a large software package, the coders focus on app-like updates that can more rapidly insert new functionality into the AOC. But it's also suffered setbacks — most notably, Google's stated intention to withdraw from future Defense Department projects after some employees objected to the company's work on Project Maven, a program would allow the Pentagon to use AI to review footage from drones. Some have worried that could have a chilling effect on future efforts. Roper said that a big focus of his job is changing how the Air Force approaches software. In the past, software was a product that could be bought in cycles, just like a physical product like a missile or aircraft. Now, it's a service that must be reworked constantly, he said. “You get a good set of coders in, they can push out so much code per month. You put them with the user that's going to use the code and together they're able to collaborate to make sure that the developer is creating something that the operator is using,” he said. “That's working very well for us in Boston, and we're looking to expand that. That's the basic mechanism to move towards AI. We're going to need people that are working with us that are software people that are working, tweaking algorithms with the users that use them, and it's probably a different company than have worked with us over the past 10 years.” The Air Force has to get those companies under contract faster, in weeks instead of months, Roper said. It's looking for opportunities to use contract vehicles specifically delegated for small businesses and to use AFWERX — its outreach arm to nontraditional contractors who are creating promising commercial technologies — to introduce startups to the service. But Roper acknowledged there was no easy answer to the problem. One possible way to inject AI into Air Force programs — although a mundane one — is to use it for predictive maintenance technologies that use sensors to forecast when a component will break, said Air Force Under Secretary Matt Donovan. “It's very exciting for us and I think it holds a lot of potential to reduce our sustainment costs,” he said, noting that sustainment makes up a whopping 70 percent of the life-cycle cost of any given product. Roper agreed that sustainment was a great area to begin employing AI, and that experience could help the Air Force begin to figure out how to use the technology for classified applications. https://www.defensenews.com/digital-show-dailies/farnborough/2018/07/17/air-force-looks-to-accelerate-artificial-intelligence-contracts

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  December 19, 2018 | International, C4ISR

  Marines look for IBM Watson-like artificial intelligence to plan large-scale wargames

  By: Todd South The Marines are looking to big data analysis and potentially an IBM Watson-like machine or software to help conduct complex wargaming and plan for future battles in an immersive environment. The Corps' Program Manager for Wargaming Capability, Col. Ross Monta, told Marine Corps Times that a recent program announcement seeks to “bring advanced analytics, visualization, models and simulation together to create an environment that enables senior leaders” to make a host of decisions. Those range from capabilities for the future force and ways to test operational plans, develop concepts of operations and help provide information to prioritize resources. The announcement is the service's second round of information gathering in four technology areas that include modeling and simulation, wargame design, data services and visualization. The Marines are reviewing white papers submitted from industry in January, February, March and July. They're aiming to have testing begin as early as October. At the 2017 Modern Day Marine Military Expo, then-Lt. Col. Monta spoke on how the Corps was developing a three- to five-year plan for a wargaming center at Marine Corps Base Quantico that would allow planners to conduct 20 wargames a year, including two large-scale, 250-participant exercises. The simulation they sought at the time would provide, “accurate representation of future operating environments, simulate friendly and enemy capabilities” and perform “rapid, in-depth analysis of game-derived data or insights.” The then-head of Marine Corps Systems Command, Brig. Gen. Joseph Shrader, said that wargaming had to get beyond “moving yellow stickies on a map.” At that time the center was capable of conducting about 11 wargame scenarios a year, Monta said. They were looking at partnering advanced simulation capabilities, such as the one they're seeking in the fbo.gov posting, with flesh and blood experts from the Ellis Group think tank to better see high-order, long-term warfighting needs. The head of training systems command, Col. Walt Yates, told Marine Corps Times that the aim was to have ways of using artificial intelligence to run simulations as many as 1,000 times. With those numbers, planners can learn probabilities of victory, casualty expectations and the logistics required to accomplish the mission. Simulation capabilities would allow commanders to run scenarios against future threats to gauge what equipment and tactics are most needed to succeed. These factors would inform planning for everything from buying the next piece of combat gear to how best to deploy forces, Yates said. The big data analysis is just one of a list of items the Corps has been working in recent years to push their wargaming from squad to Marine Expeditionary Force-level, leveraging advances in computing, data analytics, virtual reality, augmented reality and gaming. Beginning this past year, Marines at each of the Corps 24 infantry battalions began fielding Tactical Decision Kits, a combination of laptop, VR goggles and drones that allow small unit leaders to map battle spaces and then run operations plans in VR to rehearse missions. Earlier this year, MARCORSYSCOM officials sought industry input on pushing weapons simulations for live training, force-on-force shooting past the decades old laser technology still in use today. They want shooting systems that more realistically replicate how bullets and other projectiles move and the types of damage they cause. The system that would be able to simulate all weapons and vehicles typically seen in a battalion, which would include at least: M4/M16; M9 or sidearm, the M27 Infantry Automatic Weapon; hand grenades; rocket propelled grenades; Light Anti-Tank Weapon; 60mm mortars; 81mm mortars; Claymore antipersonnel mine; Mk-19 grenade launcher; Russian machine gun; AK-47 variants; M41 TOW; Javelin missile and the Carl Gustaf recoilless rifle. It would also allow for immediate after-action review so that trainers and commanders could see where their Marines were aiming, when and how much they fired to strike a target and what damage their opponents caused. https://www.marinecorpstimes.com/news/your-marine-corps/2018/12/18/marines-look-for-ibm-watson-like-artificial-intelligence-to-plan-large-scale-wargames