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September 21, 2021 | International, Aerospace, Naval

Navy's New Refueling Drone - How It Provided Gas to an F-35

Meanwhile, the MQ-25 gets a nod of approval from...China.

https://www.popularmechanics.com/military/aviation/a37597460/navys-new-refueling-drone/

On the same subject

  • Government watchdog rejects Airbus protest over helicopter contract

    May 19, 2020 | International, Aerospace, Naval

    Government watchdog rejects Airbus protest over helicopter contract

    By: David B. Larter WASHINGTON — Leonardo has restarted work on the U.S. Navy's new training helicopter after its competitor's protest of the contract was rejected by the Government Accountability Office. Airbus, which lost the competition in January, protested the award of the TH-73 that is slated to replace the Navy's aged TH-57 Sea Ranger fleet. “On Tuesday, the GAO denied the protest of the Navy's contract award of the Advanced Helicopter Training System (AHTS) program to Leonardo,” Leonardo said in a statement. “As a result, Leonardo has immediately resumed work on AHTS in Philadelphia, readying the next generation of U.S. Naval Aviators.” The contract, which is going through Leonardo's Philadelphia, Pennsylvania-based AugustaWestland facility, is valued at about $648 million. The first part of the contract was for $176.5 million and covered the first 32 helicopters. https://www.defensenews.com/naval/2020/05/14/government-watchdog-rejects-airbus-protest-over-us-navy-training-helicopter-contract/

  • 355-Ship Navy Will Mean Extending Vessels Past Planned Lifespans: Admiral

    September 6, 2018 | International, Naval

    355-Ship Navy Will Mean Extending Vessels Past Planned Lifespans: Admiral

    By Gina Harkins Some of the Navy's ships could stay in service well beyond their scheduled lifespan as leaders look for ways to modernize existing vessels as part of a decades-long fleet buildup. Navy leaders want to have 355 ships by 2030, but that doesn't mean that all of them will come new. Officials are studying ways to salvage some of the service's aging vessels as part of that plus-up -- and that doesn't come without challenges. "[Operating] as an away-game Navy is very expensive, and this requires us to look at the lifespan of everything we own," Vice Adm. William Merz, deputy chief of Naval Operations for Warfare Systems, said Wednesday at conference hosted by Defense News. Navy leaders plan to detail the kinds of capabilities they'll need in a 355-ship fleet in an extensive report expected to be released next year. Part of that process, Merz said, will include taking a look at what ships will still be relevant in a future fight. That's an important factor in determining how much money to invest in refurbishing ships that have already been in service for decades. The Navy recently decided to extend the lives of some cruisers and destroyers, he said, because they're so effective. Full article: https://www.military.com/daily-news/2018/09/05/355-ship-navy-will-mean-extending-vessels-past-planned-lifespans-admiral.html

  • DARPA: Using AI to Build Better Human-Machine Teams

    March 29, 2019 | International, C4ISR, Other Defence

    DARPA: Using AI to Build Better Human-Machine Teams

    The inability of artificial intelligence (AI) to represent and model human partners is the single biggest challenge preventing effective human-machine teaming today. Current AI agents are able to respond to commands and follow through on instructions that are within their training, but are unable to understand intentions, expectations, emotions, and other aspects of social intelligence that are inherent to their human counterparts. This lack of understanding stymies efforts to create safe, efficient, and productive human-machine collaboration. “As humans, we are able to infer unobservable states, such as situational beliefs and goals, and use those to predict the subsequent actions, reactions, or needs of another individual,” said Dr. Joshua Elliott, a program manager in DARPA's Information Innovation Office (I2O). “Machines need to be able to do the same if we expect them to collaborate with us in a useful and effective way or serve as trusted members of a team.” Teaching machines social intelligence however is no small feat. Humans intuitively build mental models of the world around them that include approximations of the mental models of other humans – a skill called Theory of Mind (ToM). Humans use their ToM skill to infer the mental states of their teammates from observed actions and context, and are able to predict future actions based on those inferences. These models are built on each individual's existing sets of experiences, observations, and beliefs. Within a team setting, humans build shared mental models by aligning around key aspects of their environment, team, and strategies. ToM and shared mental models are key elements of human social intelligence that work together to enable effective human collaboration. DARPA's Artificial Social Intelligence for Successful Teams (ASIST) program seeks to develop foundational AI theory and systems that demonstrate the basic machine social skills necessary to facilitate effective machine-human collaboration. ASIST aims to create AI agents that demonstrate a Machine ToM, as well as the ability to participate effectively in a team by observing and understanding their environment and human partners, developing useful context-aware actions, and executing those actions at appropriate times. The agents developed under ASIST will need to operate across a number of scenarios, environments, and other variable circumstances, making the ability for them to evolve and adapt as needed critical. As such, ASIST will work to develop agents that can operate in increasingly complex environments, adapt to sudden change, and use observations to develop complex inferences and predictions. During the first phase of the program, ASIST plans to conduct experiments with single human-machine interactions to see how well the agents can infer human goals and situational awareness, using those insights to then predict their teammate's actions and provide useful recommended actions. As the program progresses, the complexity will increase with teams of up to 10 members interacting with the AI agents. During these experiments, ASIST will test the agents' ability to understand the cognitive model of the team – not just that of a single human – and use that understanding to develop appropriate situationally relevant actions. Full details on the program can be found in the Broad Agency Announcement (BAA) solicitation, which has been posted to the Federal Business Opportunities website, https://www.fbo.gov/index?s=opportunity&mode=form&id=9d4acf0aba98916288a541bd07810004&tab=core&_cview=1 https://www.darpa.mil/news-events/2019-03-21b

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