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May 26, 2022 | International, Aerospace

Latest In Advanced Air Mobility Showcased At EBACE 2022

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  • Défense européenne : entretien avec Wolfgang Schäuble et Sylvie Goulard

    April 6, 2021 | International, Aerospace, Naval, Land, C4ISR, Security

    Défense européenne : entretien avec Wolfgang Schäuble et Sylvie Goulard

    Le Figaro publie une discussion entre Wolfgang Schäuble (CDU), Président du Bundestag allemand, et Sylvie Goulard, ancienne ministre des Armées française, un échange extrait du livre récemment publié de Wolfgang Schäuble « Grenzerfahrungen. Wie wir an Krisen wachsen » (« Expériences limites. Comment les crises nous font avancer »), et animé par Jacques Schuster, directeur de la rubrique opinions du journal Die Welt. Les deux personnalités évoquent les enjeux et les défis de la politique de défense commune de l'Union européenne, la question des institutions, ainsi que les opportunités soulevées par le plan de relance européen. « Nous n'avons pas beaucoup de temps devant nous. Nous vivons dans un monde dangereux, dans lequel l'Europe a besoin d'une armée fonctionnelle et moderne. Les Allemands n'y seraient pas opposés. Ils seraient immédiatement prêts à renoncer à leur armée nationale », déclare notamment Wolfgang Schäuble. Sylvie Goulard souhaite qu'apparaisse clairement « que l'UE constitue une puissance unique, qui repose sur des valeurs démocratiques et a appris de sa propre histoire ». Le Figaro du 2 avril

  • 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

  • Microsoft Positions Itself To Win Space Data Market With Azure Orbital

    September 29, 2020 | International, C4ISR

    Microsoft Positions Itself To Win Space Data Market With Azure Orbital

    KELSEY ATHERTON Offering Ground-Stations-as-a-Service means customers are only obliged to pay for the amount of time they actually need to use on the station. ALBUQUERQUE: Azure Orbital, the space-connections wing of Microsoft's cloud service Azure, launched last week. By offering Ground-Stations-as-a-Service, Microsoft wants to position itself as the bridge between the Pentagon and commercial satellites. Ground stations are vital infrastructure for satellite communication, the physical node that makes all the images and information they collect useful. With the advent of lower-cost satellites, and the expansion of small satellite constellations in low earth orbit, the space industry is moving away from a locked-in model, where specific vendors only grant access to their satellites through their ground stations. “Space is just so critical to everything we do here on earth,” says Frank Rose, a former assistant secretary of state for arms control who is now at Brookings. “Deploying additional capabilities, especially small satellites, in low earth orbit will definitely improve the resiliency of our national security space architecture.” Earlier this year, Microsoft Azure won the $10 billion JEDI contract for Pentagon cloud services. Offering Ground-Stations-as-a-Service means that the customers are only obliged to pay for the amount of time they actually need on the station. Cloud service providers already have a great deal of experience in flexible demand management and in processing the data received in their servers. That makes ground stations a natural outgrowth of existing cloud competences, the company argues. In June 2020, the Space Development Agency said that rentable ground stations make it easier for the military to piggy-back on existing commercial infrastructure. When it comes to constellations of small satellites, what companies are “trying to do is to optimize their processing architecture, trying to minimize how much compute you need to do on board because of the [Size, Weight and Power] constraints, which inevitably leads them to do more on the ground,” says Mikhail Grinberg, principle at Renaissance Strategic Advisors. Yet that principal doesn't apply evenly across all applications. “For some military applications, given resiliency requirements,” says Grinberg, “they're trying to do more networking processing on board, as opposed to having an open pipe that can be tapped into.” While Azure Orbital appears aimed at the space sector broadly, it is specifically cultivating ties to the Pentagon and the defense contracting community. Partners signed up at launch include Amergint, Kongsberg Satellite Services, Viasat, and US Electrodynamics, all of whom have long histories of working with the Pentagon. Of particular note is Azure Orbital's partnership with Kratos, a company already actively working to make low-earth-orbit satellite space viable for military applications. “Right now, the current national security space architecture is very vulnerable to other countries' Anti-Satellite capabilities, primarily China's and Russia's,” says Rose. “If we can proliferate this constellation of small satellites, we can improve the resiliency of America's national security space architecture.” The military is planning for low earth orbit satellites in the battle management layer, ones that will primarily be processing data on board, having access to commercial infrastructure through Ground-Stations-as-a-Service increases the likelihood that they can be used when needed. “For satellites in low earth orbit it might be days, three to four days before it's overhead again. That's the core problem,” says Brian Weeden of the Secure World Foundation. “One way you can solve that is by building a lot of ground stations.” “The more you have commercial guys doing infrastructure on the ground,” says Grinberg, “if you can partition the data right, you can provide more resiliency.” As part of its bid to build strong ties between Azure and the Department of Defense, Microsoft has specifically hired career professionals of the military and intelligence communities. In late, Azure hired Chirag Parikh from the National Geospatial-Intelligence Agency. Parikh had previously served as the Director of Space Policy for the White House. William Chappell, CTO of Azure Global, announced Sept. 22nd that Azure Space had hired Stephen Kitay, former deputy assistant secretary of Defense for space policy, to head Azure's space industry division. It is, actively, a project to embed Microsoft in the infrastructure of orbit. By positioning itself as an intermediary between the space sector and its end users, Microsoft can become another almost-invisible piece of that same infrastructure. Azure Orbital would also offer Microsoft a greater role in other Pentagon satellite-based projects, like cloudONE and the Advanced Battle Management System. Being able to surge connections with sensors in orbits, on demand, makes space far more flexible for human commanders. “In the last 5 years, there's been a push from the military to move towards more common ground systems,” says Weeden. What remains to be seen is if the military will be comfortable with commercial companies operating those common ground systems, or if security concerns will instead preclude military traffic riding commercial channels. https://breakingdefense.com/2020/09/microsoft-positions-itself-to-win-space-data-market-with-azure-orbital/

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