Elbit America wins $500 Million contract to continue supplying Night Vision to U.S Marines

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  18 octobre 2022 | International, Naval

  Industry cluster forms around European patrol corvette program

  Touted as a poster child for European defense industry integration, the effort is picking up steam with support from European Union coffers.

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  12 février 2021 | International, Aérospatial

  Podcast: What Are SPACs -- And Why Are They Important To A&D?

  Joe Anselmo Michael Bruno Graham Warwick Investors are putting billions into urban air mobility and space projects, hoping to strike the next Tesla. Listen in as Aviation Week editors discuss the trend. Don't miss a single episode. Subscribe to Aviation Week's Check 6 podcast in iTunes, Stitcher, Spotify and Google Play. Please leave us a review. Check back soon for a transcript of Aviation Week's February 11, 2021, Check 6 podcast. https://aviationweek.com/aerospace/podcast-what-are-spacs-why-are-they-important-ad

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  24 août 2018 | International, C4ISR

  DARPA wants an AI system that can basically make sense of everything

  By: Daniel Cebul Defense Advanced Research Project Agency is looking for an artificial intelligence and machine-learning model that can help scientists and researchers push their work to new limits. The Automating Scientific Knowledge Extraction (ASKE) program, announced Aug. 17, is the first contract opportunity DARPA has released as part of its new AI exploration program. The goal is to establish the feasibility of new AI concepts and do it fast ― within 18 months of award ― to help DARPA outpace global AI science and technology discovery efforts. Specifically, the ASKE opportunity is looking to develop an AI system that can rapidly aggregate scientific data over a number of complex systems (physical, biological, social) and identify new data and information resources automatically. Science depends on equations and complex computations of large data sets. The proposed AI system would be able to interpret and expose scientific knowledge and underlying assumptions in existing computational models to extract useful information, like causal relationships, correlations and parameters. This information would then be integrated into a machine-curated model that generates more robust hypotheses. To ensure the system is working with the full-breadth of scientific information available, DARPA is interested in a system that automatically verifies published scientific results and can monitor “fragile economic, political, social and environmental systems undergoing complex events,” in real-time. For such a system to be viable, DARPA believes advanced AI techniques such as “natural language processing, knowledge-based reasoning, machine learning, and/or human-machine collaboration” are needed. Although rapid and real-time aggregation of data from a variety digital sources may have military applications, for now DARPA maintains its “overriding interest is in innovative approaches to extracting knowledge from scientific models.” The winner will be awarded a contract worth as much as $1 million for a prototype. Proposals are due Sept. 17. https://www.c4isrnet.com/it-networks/2018/08/23/darpa-wants-an-ai-system-that-can-basically-make-sense-of-everything