1 février 2024 | International, Naval
Mideast defense firms fine-tune unmanned surface vessels
Vendors are pitching their systems’ cheaper costs in comparison to other expensive technologies that carry out similar missions.
10 juillet 2020 | International, C4ISR, Sécurité
Pentagon AI center shifts focus to joint war-fighting operations
The Pentagon's artificial intelligence hub is shifting its focus to enabling joint war-fighting operations, developing artificial intelligence tools that will be integrated into the Department of Defense's Joint All-Domain Command and Control efforts.
“As we have matured, we are now devoting special focus on our joint war-fighting operation and its mission initiative, which is focused on the priorities of the National Defense Strategy and its goal of preserving America's military and technological advantages over our strategic competitors,” Nand Mulchandani, acting director of the Joint Artificial Intelligence Center, told reporters July 8. “The AI capabilities JAIC is developing as part of the joint war-fighting operations mission initiative will use mature AI technology to create a decisive advantage for the American war fighter.”
That marks a significant change from where JAIC stood more than a year ago, when the organization was still being stood up with a focus on using AI for efforts like predictive maintenance. That transformation appears to be driven by the DoD's focus on developing JADC2, a system of systems approach that will connect sensors to shooters in near-real time.
“JADC2 is not a single product. It is a collection of platforms that get stitched together — woven together ― into effectively a platform. And JAIC is spending a lot of time and resources focused on building the AI component on top of JADC2,” said the acting director.
According to Mulchandani, the fiscal 2020 spending on the joint war-fighting operations initiative is greater than JAIC spending on all other mission initiatives combined. In May, the organization awarded Booz Allen Hamilton a five-year, $800 million task order to support the joint war-fighting operations initiative. As Mulchandani acknowledged to reporters, that task order exceeds JAIC's budget for the next few years and it will not be spending all of that money.
One example of the organization's joint war-fighting work is the fire support cognitive system, an effort JAIC was pursuing in partnership with the Marine Corps Warfighting Lab and the U.S. Army's Program Executive Office Command, Control and Communications-Tactical. That system, Mulchandani said, will manage and triage all incoming communications in support of JADC2.
Mulchandani added that JAIC was about to begin testing its new flagship joint war-fighting project, which he did not identify by name.
“We do have a project going on under joint war fighting which we are going to be actually go into testing,” he said. “They are very tactical edge AI is the way I'd describe it. That work is going to be tested. It's actually promising work — we're very excited about it.”
“As I talked about the pivot from predictive maintenance and others to joint war fighting, that is probably the flagship project that we're sort of thinking about and talking about that will go out there,” he added.
While left unnamed, the acting director assured reporters that the project would involve human operators and full human control.
“We believe that the current crop of AI systems today [...] are going to be cognitive assistance,” he said. “Those types of information overload cleanup are the types of products that we're actually going to be investing in.”
“Cognitive assistance, JADC2, command and control—these are all pieces,” he added.
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12 juin 2020 | International, Sécurité
The Army AI task force takes on two ‘key’ projects
Andrew Eversden The Army's artificial intelligence task force is working on two key projects, including one that would allow unmanned vehicles in the air to communicate with autonomous vehicles on the ground, after securing new funding, a service official said June 10. Gen. Mike Murray, commander of Army Futures Command, said during a June 10 webinar hosted by the Association of the United States Army that the task force has moved forward on the projects through its partnership with Carnegie Mellon University, launched in late 2018 . First, the team is working on programs dedicated to unmanned-unmanned teaming, or developing the ability of air and ground unmanned vehicles to talk to one other. The other effort underway is on a DevSecOps environment to develop future algorithms to work with other Army systems, Murray said. He did not offer further detail. The task force force has fewer than 15 people, Murray said, and fiscal 2021 will be the first year that it receives appropriated funds from Congress. Much of the work the task force has done so far as been building the team. In response to an audience question, Murray said that the task force is not yet working on defending against adversarial machine learning, but added that leaders recognize that's an area the team will need to focus on. “We're going to have to work on how do we defend our algorithms and really, how do we defend our training data that we're using for our algorithms," Murray said. In order to train effective artificial intelligence, the team needs significant amounts of data. One of the first projects for the task force was collecting data to develop advanced target recognition capabilities. For example, Murray said, being able to identify different types of combat vehicles. When the work started, the training data for target recognition didn't exist. “If you're training an algorithm to recognize cats, you can get on the internet and pull up hundreds of thousands of pictures of cats,” Murray said. “You can't do that for a T-72 [a Russian tank]. You can get a bunch of pictures, but are they at the right angles, lighting conditions, vehicle sitting camouflaged to vehicle sitting open desert?” Murray also said he recognizes the Army needs to train more soldiers in data science and artificial intelligence. He told reporters in late May that the Army and CMU have created a masters program in data science that will begin in the fall. He also said that the “software factory,” a six- to 12-week course to teach soldiers basic software skills. That factory will be based in Austin, where Futures Command is located, and will work with industry's local tech industry. “We have got to get this talent identified I'm convinced we have it in our formations,” Murray said. https://www.c4isrnet.com/artificial-intelligence/2020/06/10/the-army-ai-task-force-takes-on-two-key-projects/
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6 décembre 2023 | International, Terrestre
Spy demonstrator planes log nearly 1,000 sorties in Europe and Pacific
As the first two jet-based ISR planes log hours in Europe and Pacific, two more will deploy in 2024.