Kopin Selected to Develop Integrated Eyepiece Assembly for US Army's Next Generation-Short Range Interceptor Missile Program

On the same subject

• 

  December 17, 2024 | International, C4ISR, Security

  Hackers Use Microsoft MSC Files to Deploy Obfuscated Backdoor in Pakistan Attacks

  Tax-themed phishing targets Pakistan via MSC files, delivering stealthy backdoors with obfuscated malware.

• 

  November 23, 2018 | International, Aerospace, Naval, Land, C4ISR

  Killing of Khashoggi tests U.S. defense industry as backlash builds on Capitol Hill

  By Beth Reinhard ,Tom Hamburger and Emma Brown The powerful U.S. defense industry is facing a rare challenge to its influence on Capitol Hill as support for arms sales to Saudi Arabia has rapidly eroded following the killing last month of journalist Jamal Khashoggi at the hands of Saudi government operatives. The defense industry's typically aggressive lobby has gone quiet as gruesome details of Khashoggi's death have leaked and American intelligence officials have laid blame at the feet of Saudi Crown Prince Mohammed bin Salman. Even as President Trump has reiterated his support for continued sales of U.S. weapons to the kingdom, congressional opposition to those sales and to U.S. support for the Saudi-led war in Yemen has mounted in recent weeks — testing the power of an industry that has sold tens of billions of dollars' worth of weapons systems to the kingdom since the 1950s. Growing bipartisan support for Senate legislation to cut off the arms sales marks a historic disruption in a seemingly inviolable arms-for-oil trade relationship that stretches back decades and is an unusual setback for one of the most influential lobbies in Washington. In the coming weeks, key senators are expected to push for a vote on a measure that would impose sanctions on Saudi officials responsible for Khashoggi's death and suspend many weapons sales to Saudi Arabia until it ceases airstrikes in Yemen that have killed tens of thousands of civilians. The bill represents one of the first major breaks between congressional Republicans and the White House, which has embraced Saudi Arabia as a key Middle Eastern ally — a strategy driven by Jared Kushner, Trump's son-in-law and senior adviser, who forged a strong personal relationship with the crown prince. Full article: https://www.washingtonpost.com/politics/killing-of-khashoggi-tests-us-defense-industry-as-backlash-builds-on-capitol-hill/2018/11/21/15a1df52-dc7d-11e8-aa33-53bad9a881e8_story.html

• 

  July 14, 2020 | International, Aerospace

  Air Force to Add 12 Weapons Systems for AI/ML-Informed Predictive Maintenance This Year

  The U.S. Air Force is to add a dozen weapons systems to its Enhanced Reliability Centered Maintenance (ERCM) model that employs artificial intelligence/machine learning (AI/ML) for predictive maintenance. Those systems are the Boeing [BA] F-15 fighter, B-52 bomber, RC-135 reconnaissance plane, C-17 transport, and A-10 Thunderbolt II close air support aircraft, the Lockheed Martin [LMT] AC/MC-130 gunships, F-16 fighter, and HH-60 helicopter, the Bell [TXT] and Boeing CV-22 tiltrotor, the Northrop Grumman [NOC] RQ-4 Global Hawk and the General Atomics‘ MQ-9 Reaper. “We have a couple of different initiatives under what we would call the umbrella of predictive maintenance,” Air Force Lt. Gen. Warren Berry, the service's deputy chief of staff for logistics, engineering and force protection, said during a July 9 Mitchell Institute for Aerospace Studies' Aerospace Nation virtual discussion. “One is Condition Based Maintenance Plus [CBM+]. We have three weapons systems in there right now: the C-5, the KC-135, and the B-1. They've been doing it for about 18 to 24 months now, and we're starting to get some real return on what it is that the CBM+ is offering us. The other element is called Enhanced Reliability Centered Maintenance [ERCM], which is really laying that artificial intelligence and machine learning on top of the maintenance information system data that we have today and understanding failure rates and understanding mission characteristics of the aircraft and how they fail, and then laying that into the algorithms that then tell us when parts are likely to fail based on failure rates and the algorithms we plug in.” “We're in the process of adding another 12 weapons systems under the ERCM umbrella this calendar year,” Berry said. Defense Daily has asked Air Force Materiel Command (AFMC) for the names of the 12 systems. AI/ML is to assume a significant role in predictive maintenance for the 11 combatant commands (COCOMs). In April last year, the Pentagon said that the new Joint Artificial Intelligence Center (JAIC) had delivered its first product, a predictive Engine Health Model (EHM) maintenance tool for Sikorsky [LMT] Black Hawk helicopters, to U.S. Special Operations Command's 160th Special Operations Regiment (SOAR) for use with SOAR's MH-60 helicopters. JAIC said that its Joint Logistics Mission Initiative (MI), one of six JAIC AI projects, is working “to develop a repeatable, end-to-end AI ecosystem” to bring EHM to scale across the Black Hawk fleet. EHM, developed in partnership with Carnegie Mellon University, “predicts the probability of an engine hot start so decision-makers can consider next steps,” including replacing the engine or holding it back for training missions instead of deployments in high-risk missions, Army Col. Kenneth Kliethermes, JAIC's Joint Logistics MI lead, said in a recent JAIC blog post. Another JAIC mission initiative, the Joint Warfighting MI, “is working with several COCOMs to build, test, and expand its Smart Sensor, a video processing AI prototype that rides on unmanned aerial vehicles and is trained to identify threats and immediately transmit the video of those threats back to manned computer stations for real-time analysis,” according to the JAIC blog post. Army Col. Bradley Boyd, the lead for the Joint Warfighting MI, said that the Smart Sensor could lead to “a dramatic reduction in the amount of data that has to be pushed back for a human to cull through.” “Instead of staring at one video feed and hours and hours of trees and rocks and nothing happening, that person can instead be monitoring 10 video feeds because they are only seeing the stuff that really matters,” Boyd said in the JAIC blog post. https://www.defensedaily.com/air-force-add-12-weapons-systems-ai-ml-informed-predictive-maintenance-year/army/