NORINCO in China unveils turreted truck-mounted 155mm howitzer

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  29 mars 2019 | International, C4ISR, Autre défense

  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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  6 septembre 2019 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

  The US Army faces struggles working with small businesses

  By: David B. Larter WASHINGTON — The U.S. Army faces problems on multiple fronts when it comes to sending business to small companies, the head of Army Futures Command said Wednesday. Gen. John Murray said small businesses struggle under a procurement system that can take years, and then struggle to scale their businesses to meet the Army's needs. “There is a lack of trust [on the part of small businesses] that the government can sustain [a] small-business model,” Murray told the audience at the third annual Defense News Conference. “The way we do budgeting, [program objectives memorandum] POM cycles and all that — a small business can't survive. We're going to have to prove to small businesses that we can adjust our POM cycles to meet their needs. “And from the small business perspective, there are only a few ways that they can scale to the size we are talking about in terms of production. One of those ways is partnering with a traditional [defense contractor], so that's going to be a challenge going forward.” Murray's comments come as the Army tries to engage with a range of partners — from universities and small businesses to the traditional prime contractors such as Raytheon and General Dynamics — to find ways to integrate new technologies into the force. The outreach to small businesses at Army Futures Command is about finding new ways to get after the challenges the service faces, Murray said, but that in and of itself comes with challenges. “This outreach to small business is not because there is anything wrong with traditional defense primes, it's really an outreach to find new ways to solve our problems,” he said. “I've been in the Army 37 years, and I think about solving our problems a certain way. I guarantee a lot of these small businesses think about how to solve problems a different way. “Part of the challenge I have with small business is comfortably describing our problem to them. I can't talk in acronyms, I can't talk with 37 years of experience, I need to talk very clearly and very plainly.” Murray said his teams have staged events aimed at the private sector, such as a recent one where startups gathered to figure out how to move artillery shells 250 meters using autonomous unmanned systems. Such events have been instructive, he noted. Ultimately, however, the Army will choose the business that best meets the service's requirements, he said. “What it really comes down to is what are our problems and where is the best place — whether that's small business or a university or a traditional prime — where is the best place to solve that problem,” Murray said. https://www.defensenews.com/smr/defense-news-conference/2019/09/04/the-us-army-faces-struggles-working-with-small-businesses/

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  11 mai 2023 | International, Aérospatial

  US Air Force wants drone wingmen to bring ‘mass’ airpower on a budget

  The Air Force plans to collect industry's ideas for creating drone wingmen and use them to flesh out how it might use collaborative combat aircraft.