Contract Awards by US Department of Defense - January 29, 2019

On the same subject

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  June 10, 2020 | International, Naval, Security

  White House Orders New Icebreaker Strategy For Coast Guard

  “I certainly hope the Pentagon is not going to come back after studying this again, saying there's no need," for more Arctic infrastructure, said Sen. Dan Sullivan. "The infrastructure is not fine. It doesn't exist. And we need it to exist.” By PAUL MCLEARYon June 09, 2020 at 5:37 PM WASHINGTON: The White House today ordered a major rethink of current plans for a new Coast Guard heavy icebreaker fleet, calling for the ability to launch drones, install intelligence-collection systems, and consider “defensive armament” to “defend against threats by near-peer competitors” and consider the “potential for nuclear-powered propulsion.” The call to consider new designs for at least three ships already slated to be built over the next half-decade is a sure sign of growing concern in Washington over Russian and Chinese advances in putting more heavy, nuclear-powered ships in the water while the US remains stuck with just two 40 year-old operational breakers. The Coast Guard already has plans for three new, non-nuclear icebreakers to be built by 2026, with several medium icebreakers to follow in later years. It's not clear if the White House is asking for a complete redesign of those ships, but the memo clearly indicates a desire to expand their capabilities significantly. The memo gives acting Homeland Security secretary Chad Wolf, in conjunction with the State and Defense departments, just 60 days to come up with a plan to run a study of how to build a new icebreaking fleet that consists of “at least” three heavy polar-class security cutters that are “operationally tested and fully deployable by Fiscal Year 2029.” The ships should be able to perform “the full range of national and economic security missions (including the facilitation of resource exploration and exploitation and undersea cable laying and maintenance),” the memo states, a clear nod to worries that both China and Russia are rushing to secure natural resources long trapped under the polar ice caps. The Pentagon and Navy are slated to take part in the snap 60-day assessment, which includes a demand for recommendations for least two new bases in the US, and at least two new international bases. At least one of those bases would likely be in Alaska, meeting a years-long demand from Alaska Senator Dan Sullivan, who is waiting for the Pentagon to finish a study on a potential strategic port in his state later this summer. Sullivan managed to get language in the 2020 defense authorization bill ordering the Pentagon to study new ports in Alaska, after years of the military saying there was no need. “At long last, the federal government has woken up to the fact that the Arctic is a region of great strategic competition,” the senator said in an emailed statement. “Unfortunately, our adversaries are well ahead of the United States when it comes to Arctic infrastructure.” Noting his efforts to bring the Pentagon's attention to these issues, he added, “this presidential memo will add weight to these efforts and will send a signal to our adversaries and those who are laying claim to the Arctic that the United States will not cede ground in this strategic location.” Pentagon officials have said privately that refurbishing existing ports in Alaska for military use would be expensive, and they're not fully convinced there is a need. Sullivan, aware of those arguments, added, “I certainly hope the Pentagon is not going to come back after studying this again, saying there's no need. The infrastructure is not fine. It doesn't exist. And we need it to exist.” One congressional staffer who is familiar with with the issue said part of the problem Arctic advocates have encountered is that “there is no clear official within the Department of Defense that handles Arctic issues,” and despite some efforts on Capitol Hill to create a new deputy assistant secretary of defense for the Arctic, military leaders see the region as “not as high a priority as some other things — the Department of Defense seems to be one of the last federal agencies in the country to understand the strategic importance and relevance of the Arctic.” While the Coast Guard already has an icebreaker plan in hand, this new White House push might scramble those if the executive branch demands significant changes to the class, the first of which is slated to begin construction in 2021. As Washington ponders the possibility of building nuclear-powered icebreakers, two Russian companies are already at work building the world's most powerful nuclear breaker, the first step in an ambitious new Arctic strategy Moscow hopes will open lucrative new shipping routes in the Arctic. The country currently operates 40 icebreakers along the Northern Sea Route in the high north. Moscow has also unveiled plans to build dozens of non-nuclear new icebreakers in the coming years, including at least 13 heavy icebreakers, nine of which would be nuclear-powered, if plans laid out by Russian President Vladimir Putin hold. For its part, China has already matched the US in the number of icebreakers it has in its fleet, though only one of the two was built domestically. Beijing has expressed a desire to float a nuclear-powered breaker at some point in the future, though plans remain unclear. The first ship, MV Xuelong, was built at a Ukrainian shipyard but has since been upgraded by Chinese shipyards. https://breakingdefense.com/2020/06/white-house-orders-new-icebreaker-strategy-for-coast-guard

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  April 6, 2021 | International, Aerospace, C4ISR

  La DGA teste l’intégration du viseur de casque Scorpion au Rafale F4

  La DGA a réalisé, fin janvier 2021, sur le site de Cazaux (Gironde), des essais en vol du viseur de casque Scorpion développé par Thales, afin de vérifier sa compatibilité avec l'évacuation en parachute d'un pilote de Rafale. Cette campagne d'essais s'inscrit dans la démarche d'intégration de cet équipement sur le Rafale au standard F4. Les essais de compatibilité évacuation parachute, menés avant les premiers vols sur Rafale, reproduisent toutes les phases de sauvetage et de survie du pilote, depuis son éjection de l'avion jusqu'à sa survie en milieu aquatique. Ces essais permettent de valider que le nouvel équipement n'entrave pas la sécurité et les opérations de sauvetage du pilote. « Initialement développé pour le combattant terrestre, le viseur de casque Scorpion est parfaitement adapté à l'usage sur Rafale. Son écran couleur est utilisable de jour comme de nuit », précise la DGA. Air & Cosmos du 6 avril

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  August 19, 2019 | International, C4ISR

  What’s the best way for the Pentagon to invest in artificial intelligence?

  The Department of Defense is poised to spend nearly $1 billion on artificial intelligence in the next year. The Pentagon's proposed budget for fiscal 2020 includes some $927 million for AI, as well as machine learning, according to Ainikki Riikonen, a research assistant for the Technology and National Security Program at the Center for a New American Security. This includes $208 million earmarked for the Joint Artificial Intelligence Center, which was created in 2018. The Center's initial efforts have delivered “a very mature, insightful high-level view” of issues surrounding AI, said Ian McCulloh, chief data scientist at Accenture Federal Services. AI encompasses hardware, software, people and processes. With nearly a $1 billion bankroll, Defense Department leaders and the intelligence community are now looking for the best ways to leverage this emerging capability most effectively. Starting point A deep dive into the numbers shows an early emphasis on basic research. The Defense Advanced Research Projects Agency's budget request includes $138 million for advanced land systems technology, up from $109 million in fiscal 2019. That program includes research into urban reconnaissance and AI-driven subterranean operations. DARPA's budget also includes $10 million for the Highly Networked Dissemination of Relevant Data Project, a situational awareness tool, as well as $161 million for the AI Human Machine Symbiosis Project, up from $97 million. “That's all about creating systems and people that actually understand each other,” Riikonen said. These foundational research efforts could yield practical results for the war fighter. But before the Pentagon can make use of AI's analytic and predictive powers, military leaders will need to ensure they have the underlying infrastructure in place. “There's so much data available to the military, but it's stored all over the place, and rarely in a format that is easily transferrable into an algorithm,” said Todd Probert, vice president for Raytheon Intelligence, Information and Services. “If the military wants to set itself up for success, they should focus on data curation, labeling and cleaning, as well as recruiting and training the data scientists necessary to make use of it.” Good data requires good technical people, and those aren't easy to come by. “Talent isn't cheap and it's in high demand. The government will be competing directly with industry for a very small pool of people,” Probert said. This indicates a need for early investments on talented professionals. From there, defense can begin to look at funding specific projects and programs that take advantage of AI's capabilities. AI applications The Pentagon might begin by considering the potential for AI as a weapon of war. “We are only starting to scratch the surface on the impact of AI and how it can be manipulated by adversaries for nefarious purposes,” said Rahul Kashyap, president and chief executive of network traffic analysis company Awake Security. Machine learning might help military systems be more effective, but the reliance on data could also make those systems vulnerable to new kinds of attack. “With the adversarial use of AI, there are already discussions about ways in which data we have come to rely on may be poisoned to trick the machine inputs and algorithms,” Kashyap said. Some experts suggest that any early investments should address this potential risk, building in a defensive capability as part of AI's foundational layer. Others say that the low-hanging fruit lies in the military's ability to leverage AI in support of mundane, but nonetheless critical, tasks. In the near term, for example, AI spending could help provide transparency around inventory and supply chain management. “AI could help manage the complexity behind the connectivity and flow between transportation, people, facilities and supplies including equipment, spare parts and fuel in a predictive manner,” said Brigham Bechtel, chief strategy officer for intelligence and defense at big data applications firm MarkLogic. In this scenario, AI would leverage existing data on materiel availability and equipment performance to drive preventative maintenance, as well as parts procurement — “keeping records of millions of screws, wire couplers, and even tank gun barrels to support scaling to operational demand,” Bechtel said. That's a task for which machine-scale intelligence is ideally suited. In the realm of ISR, some industry representatives point to “open-source intelligence” (such as social media) as a prime target for AI investments. Sources such as Facebook and Twitter contain “significant intelligence that is beyond the scale of humans or classic computation analysis,” said Chad Steelberg, chief executive and chairman of AI-based analysis company Veritone. As in logistics, open-source intelligence offers ample data in a space where machine-scale analytics could have a deep impact. “The war of ideas, ranging from ISIS recruiting to state-sponsored propaganda, is the most dangerous battlefronts today,” Steelberg said. “With the source of ideas now being influenced by AI, the countries that harness this new weapon most effectively will have a distinct advantage.” The intelligence community also could benefit from AI's analytic powers to manage the sheer volume of sensor data in the field. “Is the analyst overwhelmed with data? If so, AI has the potential to help,” said Graham Gilmer, a principal in Booz Allen Hamilton's analytics business. “Generating a more robust search capability, fusing data from multiple sources, and generally doing the heavy lifting to cue the analyst are the most immediate applications.” In addition to addressing external data, the intelligence community could score an early win by building AI models that scrutinize conversations amongst analysts themselves. “In an ISR suite there can be as many as 15 chat rooms going at any time, with info coming in from various units and intelligence agencies,” Probert said. “That's too much data and crosstalk for a person to manage, so information is inevitably going to be missed. We need machine learning tools that can flag critical data and alert analysts to what's important.” All these represent valid points of inquiry and the Pentagon likely will pursue diverse variations on these themes. In the short term, though, analysts predict AI will mostly be about robots. “Advanced automation is the fastest growing category in AI, with the rise of unmanned systems,” Riikonen said, noting it would be a natural evolution for the military to leverage private sector learning to utilize AI in support of autonomous systems. “That fits very well with the overall U.S. defense strategy, which is all about having more of these autonomous systems that support war fighters in denied and contested environments.” In order to achieve those goals, the Defense Department may have to adopt a new way of investing in technology. Rather than a single development effort that leads to a completed product, however, AI requires an iterative process in which the computers learn over time. “You do small chunks, you do small bites,” said Paul Johnson, Grant Thornton public sector senior strategic adviser for the defense and intelligence community. In this light, AI investment will require not just algorithmic development, but investment in organizational change, to spur deep interactions between stakeholders. “We need to get the coders in the same room with the end users and start having the conversation about the art of the possible,” Johnson said. “You have to have that conversation early, often and repeatedly, for the coders to understand what they need to do.” https://www.c4isrnet.com/artificial-intelligence/2019/08/16/whats-the-best-way-for-the-pentagon-to-invest-in-artificial-intelligence/