Netherlands doubles order of MQ-9 Reaper drones, plans to arm them

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  22 mars 2021 | International, C4ISR

  DoD SBIR/STTR Component BAA Pre-Release: Army SBIR 21.4 Topic 005

  The DoD Small Business and Technology Partnerships Office announces the pre-release of the following Broad Agency Announcement (BAA) topic: Army Small Business Innovation Research (SBIR) 21.4 SBIR Topic A214-005: “Waveform Challenge for Tactical Radios,” published at: https://rt.cto.mil/wp-content/uploads/Army_21.4_ASO_Announcement_4.pdf IMPORTANT DATES: April 1, 2021: DSIP pre-release (March 16, 2021 on beta.SAM) April 1, 2021: Topic Q&A opens to questions June 1, 2021: BAA opens (begin accepting proposals in DSIP) June 1, 2021: Topic Q&A closes to questions at 12:00 PM ET June 18, 2021: BAA closes, full proposals must be submitted in DSIP no later than 12:00 p.m. ET Full topic and instruction document is available at: https://beta.sam.gov/opp/23a3541bee074eea8deef2abcdf1bbef/view. IMPORTANT: A prize competition, xTech|SBIR Waveform Challenge, will be used to identify small business concerns that meet the criteria for award of a Phase I or Direct to Phase II (D2PhII) SBIR contract under 10 U.S.C. §2374a. Winners selected from the xTech|SBIR Waveform Challenge prize competition will be the only firms eligible to submit a Phase I or D2PhII SBIR proposal under this announcement. A separate xTech|SBIR Waveform Challenge prize competition announcement will be issued concurrent with this BAA and can be found by selecting the xTech|SBIR Waveform Challenge tile at: https://www.xtechsearch.army.mil/ Topic Q&A During pre-release, proposers can contact TPOCs directly. Once DoD begins accepting proposals on June 1, 2021, no further direct contact between proposers and topic authors is allowed. Topic Q&A will be available for proposers to submit technical questions at https://www.dodsbirsttr.mil/submissions/login beginning April 1, 2021. All questions and answers are posted electronically for general viewing. Topic Q&A will close to new questions on June 1, 2021 at 12:00 p.m. ET but will remain active to view questions and answers related to the topics until the BAA close. DSIP Help Desk Contact Info Phone Number: 703-214-1333 Email: DoDSBIRSupport@reisystems.com Hours: Monday – Friday, 9:00 a.m. – 5:00 p.m. ET Thank you for your interest in the DoD SBIR/STTR Program. DoD SBIR/STTR Support Team To sign up and receive upcoming emails, please follow this link: https://secure.campaigner.com/CSB/Public/Form.aspx?fid=667492&ac=g9gk 

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  2 mai 2022 | International, Aérospatial

  Boeing, Saab announce rollout of EMD-phase T-7A Red Hawk aircraft - Skies Mag

  The first T-7A Red Hawk advanced trainer test aircraft built under the Engineering and Manufacturing Development (EMD) phase of the program was revealed at Boeing’s production facilities in St. Louis, Missouri.

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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