Final defense policy bill advances AUKUS, Taiwan training

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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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  1 mars 2019 | International, Sécurité, Autre défense

  The Security Clearance Process Is About to Get Its Biggest Overhaul in 50 Years

  By AARON BOYD The federal intelligence and human resources communities are preparing a coming out party for the first major update to the security clearance process in some 50 years. For the last year, the Suitability and Security Clearance Performance Accountability Council has been working on the Trusted Workforce 2.0 framework, the start of a wide-ranging effort to overhaul how background investigations are conducted. Representatives from the intelligence community, Defense Department, Office of Personnel Management, and Office of Management and Budget are leading PAC's efforts. Over the next two weeks, the team plans to debut the finalized framework to the White House and Congress and offered a group of reporters a first look at what's to come. This is the first time ever that the legislative and executive branches are on the same page with regard to clearance reform, according to Bill Evanina, director of the National Counterintelligence and Security Center, who is leading the framework effort along with OPM Deputy Director Michael Rigas. The two agencies, along with members of the Defense Department, have been working to reduce the crushing backlog of security investigations, which topped 725,000 in early 2018. That backlog has since been reduced to 551,000 as of Monday. But that number is 100 percent above what security professionals consider to be the baseline “steady state” of 220,000 to 250,000 investigations in process at any given time. Key to continuing to decrease the backlog and get the average clearance timeline down below 80 days is a major process overhaul, Evanina and Rigas said. “We realized this is a really big elephant, so we have to take some small bites,” beginning with reducing the backlog, Evanina said. From there, beginning mid-summer, they began to look at the “blue sky perspective,” as Evanina put it: the high-level view of structural, procedural changes that needed to take place. Discussions focused on removing “friction” from the process, said Matt Eanes, director of the PAC program management office, whether by removing the need to vet minor things or allowing investigators to use digital methods. Full article: https://www.nextgov.com/cio-briefing/2019/02/security-clearance-process-about-get-its-biggest-overhaul-50-years/155229/

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  3 novembre 2022 | International, Terrestre

  US Army digs deep to develop robot minefield 'breachers'

  The service wants robots to take over some dirty and dangerous work on the battlefield.