Iranian Hackers Use "Dream Job" Lures to Deploy SnailResin Malware in Aerospace Attacks

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  8 décembre 2020 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité

  Contract Awards by US Department of Defense - December 07, 2020

  ARMY West-MGE JV,* Tempe, Arizona, was awarded a $40,000,000 firm-fixed-price contract for civil works and hydrology and hydraulics services. Bids were solicited via the internet with 15 received. Work locations and funding will be determined with each order, with an estimated completion date of Dec. 7, 2025. The U.S. Army Corps of Engineers, Albuquerque, New Mexico, is the contracting activity (W912PP-21-D-0001). AIR FORCE International Enterprises Inc., Talladega, Alabama, has been awarded a $12,469,948 firm-fixed-price, indefinite-delivery/indefinite-quantity (IDIQ), requirements contract for F-16 modular low power radio frequency (MLPRF) and dual mode transmitter (DMT) repairs. This contract provides for the repair of both MLPRF and DMT, which function as part of the radar systems of each F-16 C/D aircraft. Work will be performed in Talladega, Alabama, and is expected to be completed Dec. 6, 2025. This award is the result of a competitive acquisition and one offer was received. Funding for the initial order is not presently available due to the contract being a requirements-type IDIQ. The Air Force Material Command, Hill Air Force Base, Utah, is the contracting activity (FA8251-21-D-0004). U.S. TRANSPORTATION COMMAND Air Transport International Inc., Wilmington, Ohio, has been awarded a task order HTC711-21-F-W009 under contract HTC711-19-D-W002 in the estimated amount of $7,650,630. The contract provides international, commercial, door to door, cargo transportation services. Multiple or single modes (e.g. airlift, sealift, linehaul) of transportation may be used in any combination to move cargo globally. The task order period of performance is from Dec. 4, 2020, to March 6, 2021. Fiscal 2021 transportation working capital funds were obligated at award. U.S. Transportation Command, Directorate of Acquisition, Scott Air Force Base, Illinois, is the contracting activity. (Awarded Dec. 4, 2020) *Small business https://www.defense.gov/Newsroom/Contracts/Contract/Article/2438179/source/GovDelivery/

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  19 juin 2019 | International, Aérospatial, Autre défense

  Israel’s Rafael integrates artificial intelligence into Spice bombs

  By: Seth J. Frantzman and Kelsey D. Atherton Rafael Advanced Defense System's Spice bombs now have a new technological breakthrough as the Israeli company enables its Spice 250 with artificial intelligence alongside automatic target recognition to be used with scene-matching technology. The Spice 250, which can be deployed on quad racks under the wings of warplanes like the F-16, has a 75-kilogram warhead and a maximum range of 100 kilometers with its deployable wings. Its electro-optic scene-matching technology — which involves uploading terrain data onto the bomb and combining it with real-time electro-optic imagery — allows the weapon to work in GPS-denied environments. And the bomb can use this autonomous capability to navigate and correct its location, according to Gideon Weiss, Rafael's deputy general manager of marketing and business development at the company's air and C4I division. With its AI and “deep learning” technologies, the weapon has the ability to identity moving ground targets and distinguish them from other objects and terrain. This is based on 3D models uploaded to the bomb as well as algorithms. As the weapon identifies and homes in on its target, such as a convoy of vehicles, it separates the convoy of interest from other vehicles it has “learned” to ignore. “The deep-learning algorithm is indifferent to the actual data fed to it for modeling targets of interest and embedding their pertaining characteristics into the system," Weiss said. "However, the more the data used for modeling is representative of the target of interest, the more robust the recognition probability will be in real life.” Rafael has completed the development and testing phase of the Spice 250, including flight tests, which have “proven the robustness of the ATA and ATR, so it is mature for delivery,” Weiss said, using acronyms for automatic target acquisition and recognition. Asked if the ATR algorithm will select a secondary target if the computer cannot find the initial human-selected target, Weiss said: “This goes into the area of user-defined policies and rules of engagement, and it is up to the users to decide on how to apply the weapon, when and where to use it, and how to define target recognition probabilities and its eventuality.” Automatically selecting a secondary target may eventually become part of the upgrade profile for the munition, if customers express significant interest in the feature. With a two-way data link and a video-streaming capability, the bomb can be aborted or told to re-target up until a “few second before the weapon hits its target,” Weiss explained. That two-way data-link, enabled by the weapon's mounting on a Smart Quad Rack, or SQR, will enable future deep learning to be based on data extracted from earlier launches. Data recorded will include either live-streaming video or a burst of still images of the entire homing phase up until impact. “These are automatically and simultaneously recorded on the SQR — enabling two functions: (a) real-time and post-mission BDI (Bomb Damage Indication); (b) post-mission target data extraction for intel updates, etc.," Weiss said. "The ATR capability, including its deep learning updates, must be more agile than the enemy's ability to conceal and/or change its battlefield footprint, tactics, appearance or anything else which might impede the ATR from accurately recognizing and destroying targets.” The Spice family of weapons is operational with the Israeli Air Force and international customers. https://www.defensenews.com/artificial-intelligence/2019/06/17/israels-rafael-integrates-artificial-intelligence-into-spice-bombs/

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  2 décembre 2019 | International, C4ISR, Sécurité

  The Pentagon’s AI lead needs a cloud integrator

  By: Andrew Eversden The Pentagon's lead artificial intelligence office is seeking a cloud integrator to help launch its hybrid, multi-cloud environment. The Defense Information Systems Agency released two source solicitations Nov. 22 on behalf of the Defense Department's Joint Artificial Intelligence Center, seeking small and large businesses that can provide JAIC with system engineering and system integration services during the deployment and maintenance of the hybrid, multi-cloud environment. The cloud environment is an important piece of JAIC's Joint Common Foundation, an enterprisewide AI platform under development by JAIC. The foundation will provided tools, shared data, frameworks and computing capability to components across the Pentagon. JAIC is responsible for accelerating, scaling and synchronizing AI efforts across the Pentagon. “The concept is to provide AI project teams with a set of established processes, tools and delivery methodologies that can facilitate the delivery of mission capabilities and integration into operational mission capabilities,” the solicitation read. Any company chosen should expect to work within Microsoft's cloud environment, as the tech giant recently won the Pentagon's enterprise cloud contract known as the Joint Enterprise Defense Infrastructure, or JEDI. Lt. Gen. Jack Shanahan, head of the JAIC, has continuously asserted that JAIC would be further along in its cloud capabilities if it had an enterprise cloud. The JEDI effort has been delayed by more than six months due to several protests. According to the solicitation, the request for quote is expected to be released in the late second quarter of fiscal 2020, with an award in the late fourth quarter of the fiscal year. https://www.federaltimes.com/acquisition/2019/11/27/the-pentagons-ai-lead-needs-a-cloud-integrator/