September 9, 2021 | International, Aerospace
The continued research and development for a possible F-35 engine replacement is needed, even without a commitment to replace the current F135 powerplant, so the U.S. Air Force can keep the option open and the technology evolving, the top service general said Sept. 8.
December 3, 2021 | International, Aerospace
C'est décidé, Boeing ne fournira pas le Canada en avion de combat. Lockheed Martin et Saab, eux, sont encore en lice. La décision devrait tomber en 2022., Mauvaise nouvelle pour Boeing. Le Canada a annoncé
June 20, 2018 | International, Land
Pierre Tran PARIS ― The U.S. Army's test-firing of a 30mm gun turret from CMI Defence is seen by the Belgian firm as putting it in a privileged position for an upcoming tender for greater firepower for the Stryker combat vehicle, a company spokesman said. “We're in pole position, “ Xavier Rigo, communications manager of CMI Defence, told Defense News on June 18. “That does not mean we will win the race, but it puts us in a very good position. We are very proud to have been selected for tests, a real recognition for our team and our equipment.” That test-firing stems from a cooperative research and development agreement CMI signed in 2015 with the U.S. Army Armament Research, Development and Engineering Center, which is seeking a lethality upgrade for the Stryker. CMI adapted the turret to fit the U.S. requirement for linkless ammunition, he said. ATK supplies the 30mm gun, which CMI fitted to its turret. The Belgian company also supplies a 105mm gun turret for a bid led by SAIC in the U.S. tender for the Mobile Protected Firepower program. CMI has fielded its Cockerill 3105 turret, which uses its turret and 105mm cannon, with the latter built in a factory in northern France. A Cockerill 3105 turret was among the products on display at the CMI stand at the Eurosatory trade show, which ran June 11-15. The stand at the show two years ago used the Cockerill brand name. BAE Systems, General Dynamics Land Systems and SAIC are the competitors in that Mobile Protected Firepower competition, Rigo said. The next step is a down-select to two bidders, which will be asked to build and supply 12 prototype vehicles for tests. In Europe, CMI is ”in discussion with the Belgian government“ in its search for a role in Belgium's planned €1 billion (U.S. $1.2 billion) acquisition of the Griffon and Jaguar armored vehicles from the French Army Scorpion program. Those talks are exploring the possibility for CMI to participate in local production and maintenance of the Scorpion vehicles, he said. The Belgian project, dubbed Capacité Mobilisé, or CAMO, sparked debate, as the planned acquisition boosted French contractors Arquus, Nexter and Thales, but left CMI turrets by the wayside. CMI has delivered 130 gun turrets and is building some 20 turrets per month to supply GDLS, which has a contract with a Middle Eastern country, he said, declining to identify the client nation. Those turrets are based on four modules, armed with 30mm, 90 mm, 105 mm, and both 105mm and 30mm guns. There are both manned and unmanned versions of the turret. Canadian broadcaster CBC reported March 19 that GLDS Canada has sold to Saudi Arabia combat vehicles armed with 105mm and 30mm guns for ”heavy assault,” anti-tank and direct-fire support. CMI conducted a firing demonstration of its six Cockerill gun turrets June 15 at the French Army Suippes firing range, eastern France. Some 60 representatives of foreign army delegations attended, the company said in a statement. The Belgian company had been one of the bidders for Arquus, the then-Governmental Sales unit of Volvo Group, until the Swedish truck maker canceled the sale. Nexter had been the other bidder. https://www.defensenews.com/digital-show-dailies/eurosatory/2018/06/19/us-army-test-fires-belgian-made-gun-amid-plans-for-stryker-upgrade-competition/
July 8, 2019 | International, Other Defence
By: Graham Gilmer The excitement of artificial intelligence today is like the space race of the 1960s, when nations were in fierce competition. Now, the United States is in first place. But continued leadership is not a given, especially as competitors, namely China and Russia, are making significant investments in AI for defense. To maintain our technological advantage, safeguard national security, and lead on the world stage, we have an imperative to invest strategically in AI. The successful and widespread adoption of AI requires the United States take a human-centric and technologically innovative approach to using AI to help maintain the peace and prosperity of our nation. As the Department of Defense and Joint Artificial Intelligence Center (JAIC) continue their efforts to accelerate AI adoption, they must address three key components of successful adoption: building trust in AI technology, operationalizing AI technologies to reach enterprise scale, and establishing ethical governance standards and procedures to reduce exposure to undue risk. Build trust in AI technology Fear and distrust hold technology adoption back. This was true during the first three industrial revolutions as mechanization, factories, and computers transformed the world, and it is the case in today's fourth industrial revolution of AI. The confusion surrounding AI has led to teams abandoning applications due to a lack of trust. To build that trust, we must prioritize training, explainability, and transparency. Trust in technology is built when leaders have accurate expectations around what it is going to deliver, mission owners can identify use cases connected to the core mission, and managers understand the true impact on mission performance. Building trust requires that all users, from executives and managers to analysts and operators, receive training on AI-enabled technologies. Training involves not only providing access to learning resources, but also creating opportunities for them to put their new skills to use. In its formal AI strategy, Pentagon leaders outlined extensive plans for implementing AI training programs across the department to build a digitally savvy workforce that will be key to maintaining the United States' leading position in the AI race. “Explainable AI” also curbs distrust by showing users how machines reach decisions. Consider computer vision. Users may wonder: How can such a tool sift through millions of images to identify a mobile missile launcher? A computer vision tool equipped with explainable AI could highlight aspects of the image that it uses in identification—in this case, elements that look like wheels, tracks, or launch tubes. Explainable AI gives users a “look under the hood,” tailored to their level of technical literacy. AI technologies must be more than understandable; they must also be transparent. This starts at the granular system level, including providing training data provenance and an audit trail showing what data, weights, and other inputs helped a machine reach its decision. Building AI systems that are explainable, transparent, and auditable will also link to governance standards and reduce risk. Operationalize AI at the enterprise scale AI will only be a successful tool if agencies can use AI at the enterprise level. At its core, this means moving AI beyond the pilot phase to real-world production across the enterprise or deployed out in the field on edge devices. Successfully operationalizing AI starts early. AI is an exciting new technology, but agencies too enamored with the hype run the risk of missing out on the real benefits. Too many organizations have developed AI pilot capabilities that work in the lab but cannot support the added noise of real-world environments. Such short-term thinking results in wasted resources. Agencies must think strategically about how the AI opportunities they choose to pursue align with their real-world mission and operations. Leaders must think through the processes and infrastructure needed to seamlessly extend AI to the enterprise at-scale. This involves building scalable infrastructure, data stores and standards, a library of reusable tools and frameworks, and security safeguards to protect against adversarial AI. It is equally important to prioritize investment in the infrastructure to organize, store, and access data, the computational needs for AI (cloud, GPU chips, etc.), as well as open, extensible software tools for ease of upgrade and maintenance. Establish governance to reduce risk Governance standards, controls, and ethical guidelines are critical to ensuring how AI systems are built, managed, and used in a manner that reduces exposure to undue risk. While our allies have engaged in conversations about how to ensure ethical AI, China and Russia have thus far shown little concern for the ethical risks associated with AI. Given this tension, it is imperative that the United States maintain its technological advantage and ethical leadership by establishing governance standards and proactive risk mitigation tactics. To this end, in May, three Senators introduced the bipartisan Artificial Intelligence Initiative Act, which includes provisions for establishing a National AI Coordination Office and national standards for testing AI algorithm effectiveness. Building auditability and validation functions into AI not only ensures trust and adoption, but also reduces risk. By establishing proactive risk management procedures and processes for continuous testing and validation for compliance purposes, organizations can ensure that their AI systems are performing at optimal levels. Governance controls and system auditability also ensure that AI systems and tools are robust against hacking and adversarial AI threats. AI could be the most transformative technological development of our lifetime—and it's a necessity for maintaining America's competitive edge. To ensure that we develop AI that users trust and can scale to the enterprise with reduced risk, organizations must take a calm, methodical approach to its development and adoption. Focus on these three areas is crucial to protecting our national security, maintaining our competitive advantage and leading on the world stage. Graham Gilmer is a principal at Booz Allen who helps manage artificial intelligence initiatives across the Department of Defense. https://www.c4isrnet.com/opinion/2019/07/08/how-the-pentagon-can-improve-ai-adoption/