10 février 2024 | International, Terrestre

PERATON awarded $2.8B to support U.S special Operation Command

In support of this contract, Peraton will be hiring roles in the following key areas: cybersecurity, system administration, information technology optimization and automation, and managed network services.


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  • DARPA: Teaching AI Systems to Adapt to Dynamic Environments

    18 février 2019 | International, C4ISR

    DARPA: Teaching AI Systems to Adapt to Dynamic Environments

    Current AI systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren't very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary's surprise actions, to fluctuating weather, to operating in unfamiliar terrain. For AI systems to effectively partner with humans across a spectrum of military applications, intelligent machines need to graduate from closed-world problem solving within confined boundaries to open-world challenges characterized by fluid and novel situations. To attempt this leap, DARPA today announced the Science of Artificial Intelligence and Learning for Open-world Novelty (SAIL-ON) program. SAIL-ON intends to research and develop the underlying scientific principles and general engineering techniques and algorithms needed to create AI systems that act appropriately and effectively in novel situations that occur in open worlds. The program's goals are to develop scientific principles to quantify and characterize novelty in open-world domains, create AI systems that react to novelty in those domains, and to demonstrate and evaluate these systems in a selected DoD domain. A Proposers Day for interested proposers is scheduled for March 5, 2019, in Arlington, Virginia: https://go.usa.gov/xEUWh “Imagine if the rules for chess were changed mid-game,” said Ted Senator, program manager in DARPA's Defense Sciences Office. “How would an AI system know if the board had become larger, or if the object of the game was no longer to checkmate your opponent's king but to capture all his pawns? Or what if rooks could now move like bishops? Would the AI be able to figure out what had changed and be able to adapt to it?” Existing AI systems become ineffective and are unable to adapt when something significant and unexpected occurs. Unlike people, who recognize new experiences and adjust their behavior accordingly, machines continue to apply outmoded techniques until they are retrained. Given enough data, machines are able to do statistical reasoning well, such as classifying images for face-recognition, Senator said. Another example is DARPA's AI push in self-driving cars in the early 2000s, which led to the current revolution in autonomous vehicles. Thanks to massive amounts of data that include rare-event experiences collected from tens of millions of autonomous miles, self-driving technology is coming into its own. But the available data is specific to generally well-defined environments with known rules of the road. “It wouldn't be practical to try to generate a similar data set of millions of self-driving miles for military ground systems that travel off-road, in hostile environments and constantly face novel conditions with high stakes, let alone for autonomous military systems operating in the air and on sea,” Senator said. If successful, SAIL-ON would teach an AI system how to learn and react appropriately without needing to be retrained on a large data set. The program seeks to lay the technical foundation that would empower machines, regardless of the domain, to go through the military OODA loop process themselves – observe the situation, orient to what they observe, decide the best course of action, and then act. “The first thing an AI system has to do is recognize the world has changed. The second thing it needs to do is characterize how the world changed. The third thing it needs to do is adapt its response appropriately,” Senator said. “The fourth thing, once it learns to adapt, is for it to update its model of the world.” SAIL-ON will require performers and teams to characterize and quantify types and degrees of novelty in open worlds, to construct software that generates novel situations at distinct levels of a novelty hierarchy in selected domains, and to develop algorithms and systems that are capable of identifying and responding to novelty in multiple open-world domains. SAIL-ON seeks expertise in multiple subfields of AI, including machine learning, plan recognition, knowledge representation, anomaly detection, fault diagnosis and recovery, probabilistic programming, and others. A Broad Agency Announcement (BAA) solicitation is expected to be posted in the near future and will be available on DARPA's FedBizOpps page: http://go.usa.gov/Dom https://www.darpa.mil/news-events/2019-02-14

  • US Navy prioritizes ‘game-changing’ rearming capability for ships

    28 mars 2023 | International, Naval

    US Navy prioritizes ‘game-changing’ rearming capability for ships

    Reloading a vertical launching system is a challenging maneuver, given the crane must hold missile canisters vertically, while slowly lowering explosives.

  • Australia’s Hunter-Class Frigate Program Steel Contract Signed

    8 juin 2020 | International, Naval

    Australia’s Hunter-Class Frigate Program Steel Contract Signed

    Australian company BlueScope Steel AIS has signed a contract with ASC Pty Ltd Shipbuilding, a subsidiary of BAE Systems Australia , for the Hunter-class Frigate program. Xavier Vavasseur 05 Jun 2020 Under the $2.6 million contrac, BlueScope is set to deliver more than 1500 tonnes of steel plate which will be used to construct five ship blocks in the prototyping phase of the program. The blocks will then test processes, systems, tools, and facilities prior to construction commencing on the first of nine frigates by end 2022. This is the first of a number of contracts ASC Shipbuilding will award to Australian businesses in the lead up to the Hunter program's prototyping phase and realises the company's commitment to use Australian steel for the $35 billion Hunter Class Frigate Program. During prototyping, five representative ship ‘blocks' will be built at the world-class Osborne Naval Shipyard in South Australia. During this phase, the processes, systems, tools, facilities and workforce competencies will be extensively tested and refined before construction commences on the first frigate in 2022. ASC Shipbuilding will design and build nine Hunter-class ships, which will be among the world's most advanced anti-submarine warfare frigates, for the Royal Australian Navy. The Hunter-class will begin entering service in the late 2020s replacing the eight Anzac Class frigates, which have been in service since 1996. About Hunter-class Frigate The Hunter Class FFGs will be built in Australia by ASC Shipbuilding at the Osborne Naval Shipyard in South Australia, based on BAE System's Global Combat Ship design (also selected for the Type 26 City-class of the Royal Navy and Canadian Surface Combatant or CSC for the Royal Canadian Navy). According to the Royal Australian Navy, the Hunter Class will provide the Australian Defence Force with the highest levels of lethality and deterrence our major surface combatants need in periods of global uncertainty. They will have the capability to conduct a variety of missions independently, or as part of a task group, with sufficient range and endurance to operate effectively throughout the region. The frigates will also have the flexibility to support non-warfare roles such as humanitarian assistance and disaster relief. Incorporating the leading edge Australian-developed CEA Phased-Array Radar and the US Navy's Aegis combat management system, with an Australian interface developed by Saab Australia, the Hunter Class will be one of the most capable warships in the world. https://www.navalnews.com/naval-news/2020/06/australias-hunter-class-frigate-program-steel-contract-signed/

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