16 mai 2024 | International, Naval
Navy, Marine Corps pitched three systems for first Replicator batch
An acquisition official said the Navy and Marine Corps brought three systems to Replicator, but declined to clarify whether all were selected.
28 janvier 2019 | International, Autre défense
What the Pentagon could learn from unicorns
By: Jill Aitoro
WESTLAKE VILLAGE, Calif. — The promise of Silicon Valley is built on unicorns — startup companies valued at more than $1 billion. They're rare. Hence the name. But the payoff is big enough that venture capitalists are willing to funnel a lot of money by way of multiple rounds of funding toward unproven technologies, to accept significant risk, in hopes they'll be in on the ground floor of the next great discovery.
Compare that to Washington, where in the words of Defense Innovation Board Executive Director Josh Marcuse: “We put forward a defense program full of things that we know aren't going to work, but no one is willing to say so.”
For more than three years the Pentagon has attempted to draw upon the Silicon Valley culture of innovation, to buy instead of build, to take advantage of commercial technology. But success has been spotty at best — with SpaceX and Palantir rather exclusively held up as the two “unicorns” catering to the military.
But while many procurement reformists will point to burdensome regulations as the problem, innovation leaders from both the Department of Defense and Silicon Valley companies agreed during a November roundtable hosted by Defense News that no laws currently in place prevent smart buying by the government.
Instead, those same innovation leader say that what causes the greatest minds in the tech community to walk away from the largest buyer in the world is a slow, arduous process combined with a serious lack of understanding within the Pentagon for how software is designed.
“We basically created an innovation program where you have to have Howard Hughes-style entrepreneurship to do anything that matters,” said Trae Stephens, partner at San Francisco-based venture capital firm Founders Fund and co-founder of Silicon Vally tech firm Anduril.
To buy or to build
Since the 1990s, defense acquisition regulations have clearly stated that commercial preference should be given in every contracting decision. Reinforcing that point, the Office of the Secretary of Defense for Acquisition, Technology, and Logistics released a guidebook for acquiring commercial items in January 2018, stating: “The time and cost to develop and field new capabilities, the technological advances made by near peer competitors and the rapid pace of innovation by private industry have demonstrated the need to access the best technology — now.”
And yet, such earnest support of commercial tech does not regularly filter to the acquisition community. Agencies over-specify requirements, “so now if the company wants to do business with [the Pentagon], they have to modify their product,” Stephens said. “All you have to do is say, ‘Yes, we have validated that there is no commercial product that meets our requirements,' and that's it.”
The Pentagon does not, however, do the opposite — adapt requirements for a particular product.
“There are a lot of things that we just have to build. We're going to build aircraft carriers, we're going to build fighter planes,” Stephens added. “And then there's the thing that we're going to buy — the products. These should be entirely separate conversations.”
That over-specification runs counter to the “agile” development method typically favored by the tech community, which is built on a premise of short sprints that factor into evolving requirements. Agile can't exist without a degree of flexibility, ensuring, too, that if you fail, you fail fast. Contrast that with the traditional waterfall approach that predefines the various phases of development to ensure, in theory, a predictable outcome.
Full article: https://www.defensenews.com/smr/cultural-clash/2019/01/28/what-the-pentagon-could-learn-from-unicorns
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1 mars 2019 | International, Autre défense
DARPA: Taking the Next Step in Quantum Information Processing
Universal quantum computers with millions of quantum bits, or qubits – which can represent a one, a zero, or a coherent linear combination of one and zero – would revolutionize information processing for commercial and military applications. Realizing that vision, however, is still decades away. The problem is the performance and reliability of quantum devices depend on the length of time the underlying quantum states can remain coherent. If you wait long enough, interactions with the environment will make the state behave like a conventional classical system, removing any quantum advantage. Often, this coherence time is significantly short, which makes it difficult to perform any meaningful computations. To exploit quantum information processing before fully fault-tolerant quantum computers exist, DARPA today announced its Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program. This effort will pursue a hybrid concept that combines intermediate-sized quantum devices with classical systems to solve a particularly challenging set of problems known as combinatorial optimization. ONISQ seeks to demonstrate the quantitative advantage of quantum information processing by leapfrogging the performance of classical-only systems in solving optimization challenges. A Proposers Day for interested proposers is scheduled for March 19, 2019, at the Executive Conference Center in Arlington, Virginia: https://go.usa.gov/xEp8M “A number of current quantum devices with more than 50 qubits exist, and devices with greater than 100 qubits are anticipated soon,” said Tatjana Curcic, program manager in DARPA's Defense Sciences Office. “Qubits' short lifetime and noise in the system limit how many operations you can do efficiently, but a new quantum optimization algorithm has opened the door for a hybrid quantum/classical approach that could outperform classical systems.” Solving combinatorial optimization problems – with their mindboggling number of potential combinations – is of significant interest to the military. One potential application is enhancing the military's complex worldwide logistics system, which includes scheduling, routing, and supply chain management in austere locations that lack the infrastructure on which commercial logistics companies depend. ONISQ solutions could also impact machine-learning, coding theory, electronic fabrication, and protein-folding. ONISQ researchers will be tasked with developing quantum systems that are scalable to hundreds or thousands of qubits with longer coherence times and improved noise control. Researchers will also be required to efficiently implement a quantum optimization algorithm on noisy intermediate-scale quantum devices, optimizing allocation of quantum and classical resources. Benchmarking will also be part of the program, with researchers making a quantitative comparison of classical and quantum approaches. In addition, the program will identify classes of problems in combinatorial optimization where quantum information processing is likely to have the biggest impact. “If we're successful, the outcome of ONISQ will be the first demonstration of a quantum speedup compared to the best classical method for a useful problem,” Curcic said. ONISQ seeks multidisciplinary teams with expertise in experimental and theoretical physics, computer science and applied mathematics among others. DARPA plans to release a Broad Agency Announcement (BAA) solicitation in several weeks at: http://go.usa.gov/Dom. https://www.darpa.mil/news-events/2019-02-27
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9 juin 2021 | International, Aérospatial, Naval
Curtiss-Wright to Upgrade Navy Helicopter Mission and Flight Management Computers to Meet New Threats - Seapower
ASHBURN, Va. — Curtiss-Wright’s Defense Solutions division announced June 7 it was awarded a contract by Lockheed Martin to provide its Modular Open-Systems Approach (MOSA) computers and video processing modules to upgrade the Mission Computer and Flight Management Computer (MC/FMC) on the U.S. Navy’s fleet of...