La Russie devient le deuxième producteur d’armes au monde

Sur le même sujet

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  4 janvier 2019 | International, C4ISR

  DARPA: Generating Actionable Understanding of Real-World Phenomena with AI

  DARPA seeks to develop schema-based AI capability to enhance reasoning about complex world events and generate actionable insights Rapid comprehension of world events is critical to informing national security efforts. These noteworthy changes in the natural world or human society can create significant impact on their own, or may form part of a causal chain that produces broader impact. Many events are not simple occurrences but complex phenomena composed of a web of numerous subsidiary elements – from actors to timelines. The growing volume of unstructured, multimedia information available, however, hampers uncovering and understanding these events and their underlying elements. “The process of uncovering relevant connections across mountains of information and the static elements that they underlie requires temporal information and event patterns, which can be difficult to capture at scale with currently available tools and systems,” said Dr. Boyan Onyshkevych, a program manager in DARPA's Information Innovation Office (I2O). The use of schemas to help draw correlations across information isn't a new concept. First defined by cognitive scientist Jean Piaget in 1923, schemas are units of knowledge that humans reference to make sense of events by organizing them into commonly occurring narrative structures. For example, a trip to the grocery store typically involves a purchase transaction schema, which is defined by a set of actions (payment), roles (buyer, seller), and temporal constraints (items are scanned and then payment is exchanged). To help uncover complex events found in multimedia information and bring them to the attention of system users, DARPA created the Knowledge-directed Artificial Intelligence Reasoning Over Schemas (KAIROS) program. KAIROS seeks to create a schema-based AI capability to enable contextual and temporal reasoning about complex real-world events in order to generate actionable understanding of these events and predict how they will unfold. The program aims to develop a semi-automated system capable of identifying and drawing correlations between seemingly unrelated events or data, helping to inform or create broad narratives about the world around us. KAIROS' research objectives will be approached in two stages. The first stage will focus on creating schemas from large volumes of data by detecting, classifying and clustering sub-events based on linguistic inference and common sense reasoning. Researchers taking on this challenge will apply generalization, composition and specialization processes to help generate schemas that describe both simple and complex events, sequence multiple schemas together to understand key contextual elements like roles and timelines, and apply domain-specific knowledge to tailor the analysis for a particular need. The second stage of the program will focus on applying the library of schemas created during stage one to multimedia, multi-lingual information to uncover and extract complex events. This stage will require identifying events and entities, as well as relationships among them to help construct and extend a knowledge base. DARPA will hold a Proposers Day on January 9, 2019 from 10:00am to 2:30pm (EST) at the Holiday Inn at Ballston, 4610 N. Fairfax Drive, Arlington, Virginia 22203 to provide more information about KAIROS and answer questions from potential proposers. For details of the event, including registration requirements, visit https://www.schafertmd.com/darpa/i2o/KAIROS/pd/. A Broad Agency Announcement that fully describes the program structure and objectives can be found here, https://www.fbo.gov/index?s=opportunity&mode=form&id=0fc6d1a237556c5d59847e7165af3aef&tab=core&_cview=1. Image Caption: This image outlines the two stages of the KAIROS program. The first stage will focus on creating a library of schemas from large volumes of data by detecting, classifying and clustering sub-events based on linguistic inference and common sense reasoning. The second stage will apply those schemas to new information to uncover and extract complex events, as well as relationships among them, to help construct and extend a knowledge base. https://www.darpa.mil/news-events/2019-01-04

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  20 janvier 2022 | International, Naval

  See highlights of Marines at a weeklong jungle warfare squad competition

  Marines with 3rd Marine Division get muddy in the jungle during squad competition.

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  6 septembre 2019 | International, Aérospatial

  F-22, F-35 jets won’t hit Mattis’ readiness targets

  By: Aaron Mehta WASHINGTON — The U.S. Air Force's stealthy fighters will not meet an 80 percent mission-capable rate requirement set by former Defense Secretary Jim Mattis, top officials revealed Wednesday. Appearing at the 2019 Defense News Conference, Lt. Gen. Mark Kelly, deputy chief of staff for operations, said that the F-22 and F-35A would both fall short of the capability target set by Mattis shortly before his exit from the Pentagon. The F-16, however, “should” hit that target rate. In a memo first revealed by Defense News last October, Mattis ordered the Pentagon's F-35, F-22, F-16 and F-18 aircraft inventories to hit 80 percent mission-capability rates. A July investigation by sister publication Air Force Times revealed that in fiscal 2018, when Mattis issued the memo, the service was in a readiness nose dive: Of the 5,413 or so aircraft in the fleet, the percentage able to fly at any given time decreased steadily each year since at least FY12, when 77.9 percent of aircraft were deemed flyable. By FY17, that metric plunged to 71.3 percent, and it dipped again to 69.97 percent in FY18. Analysts were skeptical that such an increase could be achieved in just one year, and it appears that skepticism was well-founded. However, Kelly argued, not all mission-capable rates are created equal. “We learned a lot from the MC80 [mission-capable 80 percent] effort. One of the big things we learned is that our long-range readiness strategy, which takes a lot more consideration than MC80, is frankly a more viable strategy,” he said of an effort that takes a more holistic approach to whether needed assets are ready to use. “MC80 is actually a very important metric of how ready we are to go to war, but there is an easy way for the Air Force to achieve MC80 on any airframe, and that's to just stop flying. We actually flew more,” Kelly said. The F-22 struggled to hit 80 percent in large part because the low-observable coating on the plane requires slow, careful work to maintain, which drags down the mission-capable rates. The F-35A, meanwhile, was being stood up and flown more during this period than ever before, which was beneficial for the service, but meant that mission-capable rates were impacted by operational use. “So facts matter,” Kelly concluded. “The facts are: We won't make it, but the data behind the facts is we're actually having pretty good success.” During the panel, Air Force leaders were asked if the 386 squadron target, first unveiled last September, is still a hard goal for the service. Lt. Gen. Timothy Fay, deputy chief of staff for strategy, integration and requirements, didn't provide a concrete answer, but he did indicate that capability — as opposed to capacity — may be a more important standard for the future. “386 was an number we worked very hard on,” Fay said. “But it's not just a question of capacity. ... Yes, we have a force that's too small,” but the service is now “looking at new technologies, new ways to use those technologies.” https://www.defensenews.com/smr/defense-news-conference/2019/09/04/f-22-f-35-wont-hit-mattis-readiness-targets/