23 juillet 2018 | International, C4ISR

The Army wants to build a better signals intelligence force

The Army's top intelligence official signed the service's new signals intelligence strategy July 16, a move that defense leaders believe leaves the Army better situated to better fight despite electronic warfare and cyber attacks.

The new strategy ensures "our readiness to provide timely and relevant SIGINT-support [and meet] the commander's information needs in a large scale combat operation against a sophisticated adversary,” Lt. Gen. Scott Berrier, said July 18 during an event on Capitol Hill hosted by the Association of Old Crows.

Officials say the integration of SIGINT, electronic warfare and cyber is critical from a material, organization and doctrinal perspective.

“Not only will our four lines of effort improve our SIGINT corps' capabilities and relevance in the face of rapid changes in the global security environment, it will also enable our electronic warfare and cyberspace effort to meet new challenges,” Berrier said.

The four initiatives in the new strategy include:

- Organizing and building the Army SIGINT force,

- Educating the force,

- Equipping the force, and

- Developing doctrine.

The new strategy increases the Army's ability to collect intelligence against peer adversaries, such as China and Russia, and provides a firm foundation for successful electronic warfare and cyber operations, Berrier said.

A key component of the convergence includes the new Terrestrial Layer System (TLS), a SIGINT/EW system projected to be fielded on vehicles and used by new military intelligence-electronic warfare (MI-EW) companies the Army is working to stand up.

The Army wants SIGINT, electronic warfare and cyber systems on the same platforms in the air and ground domain, Maj. Gen. Robert Walters, commander of the Intelligence Center of Excellence, said at the event. These systems, Berrier said, should be able to not only sense the environment but employ some type of action such as electronic attack or cyber capability.

Why converge?

Officials have stressed repeatedly in the last year the need for colleagues in similar disciplines throughout the Army to stay in touch and reap the mutually beneficial equities on behalf of commanders in the field.

Lt. Gen. Stephen Fogarty, the head of Army Cyber Command, said commanders shouldn't have to have something explained to them by the EW guy, the SIGINT guy and then the cyber guy.

“What we decided is there's a better way, we have to pull it all together” for the commander, he said at the event. “We're going to have to work together because we all operate in the same space. And so do we really need three separate tools to plan operations in the spectrum? My argument would be no.”

From an organizational perspective, the 29 series electronic warfare personnel will have deep knowledge in both cyber and electromagnetic spectrum operations. On the materiel side, especially with programs like the Terrestrial Layer System, the cyber and intel community are meeting regularly to integrate their requirements, officials said. In addition, Maj. Gen. John Morrison, commander of the Cyber Center of Excellence, told reporters in June that the Intelligence Center of Excellence is working with the Cyber Center to help ensure integrated formation and integrated capabilities.

https://www.c4isrnet.com/intel-geoint/2018/07/19/the-army-wants-to-build-a-better-signals-intelligence-force/

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21 janvier 2021 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

Contract Awards by US Department of Defense - January 20, 2021
AIR FORCE The Boeing Co., Seattle, Washington, has been awarded a $2,124,531,149 modification (P00232) to contract FA8625-11-C-6600 for Lot 7 production KC-46 aircraft, subscriptions and licenses and G081 flat file. The modification provides for the exercise of an option for an additional quantity of 15 KC-46 aircraft, data, subscriptions and licenses, and G081 flat file being produced under the basic contract. Work will be performed in Seattle, Washington, and is expected to be completed May 31, 2024. Fiscal 2021 aircraft procurement funds in the full amount are being obligated at the time of award. The Air Force Life Cycle Management Center, Wright-Patterson Air Force Base, Ohio, is the contracting activity. CORRECTION: The contract announced on Jan. 15, 2021, for Mile Two LLC, Dayton, Ohio, for $14,788,874, was listed with an incorrect contract number. The correct contract number is FA8650-21-C-6271. NAVY Detyens Shipyard Inc., Charleston, South Carolina, is awarded a $19,150,225 firm-fixed-price contract for a 76-calendar day shipyard availability. The work to be performed under this contract provides regular overhaul availability and dry-docking services for the fleet replenishment oiler USNS Laramie (T-AO 203). The contract also contains six unexercised options, which if exercised, would increase cumulative contract value to $19,841,567. Work will be performed in Charleston, South Carolina, and is expected to be completed by June 4, 2021. Fiscal 2021 working capital contract funds (Navy) in the amount of $19,150,225 are obligated on this award and will not expire at the end of the current fiscal year. This contract was competitively procured via the beta.SAM.gov website, with two proposals received. The Military Sealift Command, Norfolk, Virginia, is the contracting activity (N32205-21-C-4001). *Small business https://www.defense.gov/Newsroom/Contracts/Contract/Article/2477500/source/GovDelivery/
19 février 2021 | International, Aérospatial

RAF supporting Aeralis to continue development of modular jet aircraft
Aeralis has been awarded a three-year contract by the UK Ministry of Defence (MoD) to continue development of its modular jet aircraft. Aeralis will continue development of its modular jet aircraft with support from the RAF Rapid Capabilitie...
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

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