May 29, 2024 | International, Land
Cash in hand for armored vehicles, Italy weighs its clout in Europe
Officials in Rome will soon pick industry alliances for a multibillion-dollar infantry fighting vehicle and, potentially, Europe's next-gen tank.
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.
On the same subject
-
-
May 6, 2024 | International, Aerospace
National Geospatial-Intelligence Agency creating space intel hub
While the Joint Mission Management Center is still in the concept phase, NGA is working quickly to get it up and running.
-
December 20, 2018 | International, C4ISR
DARPA Awards Six Teams During Final Spectrum Collaboration Challenge Qualifier
On December 12, DARPA held the second preliminary event of the Spectrum Collaboration Challenge (SC2) – the world's first collaborative machine-intelligence competition to overcome spectrum scarcity. Fifteen teams represented by members from across the academic, commercial and defense landscapes gathered at Johns Hopkins University Applied Physics Laboratory (APL) to pit their intelligent radio designs against each other in a head-to-head competition. At the event's conclusion, six of the eight top-scoring teams walked away with $750,000 each in prize money. While not all competitors received interim prizes, all 15 teams have an opportunity to move on to the next stage and compete in the 2019 Spectrum Collaboration Challenge grand finale, which will be held in conjunction with MWC19 Los Angeles, in partnership with CTIA, on October 23, 2019. The six prize-winning teams from the second preliminary event are: Zylinium, a team of independent researchers MarmotE from Vanderbilt University Sprite from Northeastern University Erebus, a team of independent researchers Gator Wings from University of Florida SCATTER from IDLab, an imec research group at Ghent University and University of Antwerp, and Rutgers University "During the second preliminary event we witnessed a technological shift," said Paul Tilghman, the DARPA program manager leading SC2. "For the first time, we saw autonomous collaboration outperform the status quo for spectrum management." Starting in early December, each team's radio participated in 105 matches against competitors in the Colosseum, a massive RF testbed that was developed specifically for SC2. The matches were held in a round-robin fashion where each radio network – working in groups of threes, fours or fives – had multiple opportunities to compete against every other radio design in the competition. Roughly 400 matches were held in total to determine the final team rankings and the prize recipients. During the PE2 matches, teams were put through six different RF scenarios designed to mimic the challenges that collaborative, autonomous radios will face in the real world. These scenarios challenged the radios to collaboratively mitigate interfering with an incumbent radio system, sense and adapt to the spectrum demands of high-traffic environments, handle the data demands of the connected soldier of the future, and beyond. Each scenario was designed to pressure test various elements of the teams' approaches and, in particular, their ability to successfully collaborate with the other radios operating within the same environment. “The six different scenarios were closely aligned to actual situations that our defense and commercial systems face in the field. The Wildfire scenario, for example, replicates the complex communications environment that surrounds an emergency response situation, while the Alleys of Austin scenario was designed to mimic what's needed to help dismounted soldiers navigate and communicate as they sweep through an urban environment. This real-world relevance was critical for us as we want to ensure these technologies can continue to develop after the event and can transition to commercial and/or military applications,” said Tilghman. The sixth scenario of the competition was used to determine the six prize winning teams. This scenario explored the essential question of the SC2 competition: can the top teams' collaborative SC2 radios outperform the status quo of static allocation? Each of the six teams that received awards at PE2 demonstrated that their radio was capable of carrying more wireless applications without the aid of a handcrafted spectrum plan, while simultaneously ensuring four other radio networks operating in the same area had improved performance. In short, each of these six radio networks demonstrated the autonomous future of the spectrum. To aid with decision making, teams applied AI and machine learning technologies in various ways. Some leveraged the current generation of AI technologies like deep learning, while others used more conventional optimization approaches. There were also a few teams that used first wave, rule-based AI technologies. “We're very encouraged by the results we saw at PE2. The teams' radios faced new and unexpected scenarios but were still able to demonstrate smart, collaborative decision making. PE2 showed us that AI and machine learning's application to wireless spectrum management creates a very real opportunity to rethink our current century-old approach,” said Tilghman. The competition now enters its third year and moves closer to the finale, which will be held at one of the country's largest annual technology and telecommunications shows – MWC19 Los Angeles. More than 22,000 attendees from the broad mobile ecosystem and adjacent industry sectors will convene at this three-day event to discuss the current opportunities and future trends shaping the industry. The SC2 championship event will be held on the keynote stage of MWC19 Los Angeles on October 23, 2019. At the conclusion of SC2's finale, three teams will be awarded $2 million, $1 million and $750,000, respectively, for first, second and third place. The real prize, however, will be the promise of a more efficient wireless paradigm in which radio networks autonomously collaborate to determine how the spectrum should be used moment-to-moment, helping to usher in an era of spectrum abundance. For more information about DARPA's Spectrum Collaboration Challenge, please visit: https://spectrumcollaborationchallenge.com/ https://www.darpa.mil/news-events/2018-12-19