New Naval Safety Command will help units better assess, mitigate their own risk

On the same subject

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  July 15, 2019 | International, Other Defence

  Army to Receive 7.62mm Squad Marksman Rifles as Early as Next Year

  By Matthew Cox Heckler & Koch Defense Inc. will soon begin delivering thousands of 7.62mm squad-designated marksman rifles to the Army to give infantry and other close-combat units a better chance of penetrating enemy body armor. H&K will deliver "between 5,000 and 6,000" variants of the G28 rifle, which the Army plans to issue as its new squad designated marksman rifle (SDMR), according to a July 12 H&K news release. Under the agreement, the rifles will be manufactured by H&K in Oberndorf, Germany, and will begin to arrive in the H&K-USA facility in Columbus, Georgia, early next year, according to the release. Once there, H&K-USA workers will install scopes and mounts purchased by the Army under a separate agreement. "This is a significant achievement for Heckler & Koch," H&K-USA's chief operating officer, Michael Holley, said in the release. "The HK SDMR system will add much-needed capabilities to virtually every squad in the Army. We are honored by this opportunity." The new SDMRs are part of an interim effort to make squads more lethal ahead of the Army's fielding of the Next-Generation Squad Weapon system sometime in 2022, service officials have said. In May 2017, Army Chief of Staff Gen. Mark Milley told Senate Armed Services Committee members that the service's current M855A1 Enhanced Performance Round will not defeat enemy body armor plates similar to the U.S. military-issue rifle plates such as the Enhanced Small Arms Protective Insert, or ESAPI. As a short-term fix, the Army selected the G28 as its M110A1 Compact Semi-Automatic Sniper System in 2016, to be used with the service's new 7.62mm enhanced performance round to give squads more penetrating power. In the past, the Army relied on the Enhanced Battle Rifle, or EBR, 14 -- a modernized M14 equipped with an adjustable aluminum stock with pistol grip, scope and bipod legs -- to fill the growing need by infantry squads operating in Afghanistan to engage enemy fighters at longer ranges. But the EBR is heavy, weighing just under 15 pounds unloaded. The M110A1 weighs about 11 pounds. In the long term, the Army is working with gunmakers to develop the new Next Generation Squad Weapon (NGSW) that is slated to fire a special, government-produced 6.8mm projectile that promises higher velocities at greater ranges, service officials say. The program is being designed to produce an automatic rifle version to replace the M249 squad automatic weapon and a carbine version to replace the M4 carbine. Army officials said recently that they expect to begin receiving prototypes of the NGSW in July and August and that the weapon could be fielded to units beginning in late fiscal 2020. https://www.military.com/daily-news/2019/07/12/army-receive-762mm-squad-marksman-rifles-early-next-year.html

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  February 7, 2019 | International, C4ISR

  DARPA: Defending Against Adversarial Artificial Intelligence

  Today, machine learning (ML) is coming into its own, ready to serve mankind in a diverse array of applications – from highly efficient manufacturing, medicine and massive information analysis to self-driving transportation, and beyond. However, if misapplied, misused or subverted, ML holds the potential for great harm – this is the double-edged sword of machine learning. “Over the last decade, researchers have focused on realizing practical ML capable of accomplishing real-world tasks and making them more efficient,” said Dr. Hava Siegelmann, program manager in DARPA's Information Innovation Office (I2O). “We're already benefitting from that work, and rapidly incorporating ML into a number of enterprises. But, in a very real way, we've rushed ahead, paying little attention to vulnerabilities inherent in ML platforms – particularly in terms of altering, corrupting or deceiving these systems.” In a commonly cited example, ML used by a self-driving car was tricked by visual alterations to a stop sign. While a human viewing the altered sign would have no difficulty interpreting its meaning, the ML erroneously interpreted the stop sign as a 45 mph speed limit posting. In a real-world attack like this, the self-driving car would accelerate through the stop sign, potentially causing a disastrous outcome. This is just one of many recently discovered attacks applicable to virtually any ML application. To get ahead of this acute safety challenge, DARPA created the Guaranteeing AI Robustness against Deception (GARD) program. GARD aims to develop a new generation of defenses against adversarial deception attacks on ML models. Current defense efforts were designed to protect against specific, pre-defined adversarial attacks and, remained vulnerable to attacks outside their design parameters when tested. GARD seeks to approach ML defense differently – by developing broad-based defenses that address the numerous possible attacks in a given scenario. “There is a critical need for ML defense as the technology is increasingly incorporated into some of our most critical infrastructure. The GARD program seeks to prevent the chaos that could ensue in the near future when attack methodologies, now in their infancy, have matured to a more destructive level. We must ensure ML is safe and incapable of being deceived,” stated Siegelmann. GARD's novel response to adversarial AI will focus on three main objectives: 1) the development of theoretical foundations for defensible ML and a lexicon of new defense mechanisms based on them; 2) the creation and testing of defensible systems in a diverse range of settings; and 3) the construction of a new testbed for characterizing ML defensibility relative to threat scenarios. Through these interdependent program elements, GARD aims to create deception-resistant ML technologies with stringent criteria for evaluating their robustness. GARD will explore many research directions for potential defenses, including biology. “The kind of broad scenario-based defense we're looking to generate can be seen, for example, in the immune system, which identifies attacks, wins and remembers the attack to create a more effective response during future engagements,” said Siegelmann. GARD will work on addressing present needs, but is keeping future challenges in mind as well. The program will initially concentrate on state-of-the-art image-based ML, then progress to video, audio and more complex systems – including multi-sensor and multi-modality variations. It will also seek to address ML capable of predictions, decisions and adapting during its lifetime. A Proposers Day will be held on February 6, 2019, from 9:00 AM to 2:00 PM (EST) at the DARPA Conference Center, located at 675 N. Randolph Street, Arlington, Virginia, 22203 to provide greater detail about the GARD program's technical goals and challenges. Additional information will be available in the forthcoming Broad Agency Announcement, which will be posted to www.fbo.gov. https://www.darpa.mil/news-events/2019-02-06

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  July 22, 2020 | International, Aerospace

  Boeing and Etihad Broaden Sustainability Alliance by Testing Innovations on ecoDemonstrator 787

  Seattle, July 20, 2020 /PRNewswire/ - Boeing [NYSE:BA] and Etihad Airways will use a 787-10 Dreamliner to test ways to reduce emissions and noise as part of the aerospace company's ecoDemonstrator program before the airline accepts delivery of the airplane this fall. The collaboration, which includes extensive sound measurement testing with industry partners, builds on a strategic sustainability alliance Boeing and Etihad formed in November 2019. "This is the latest program under Etihad's industry-leading strategic partnership with Boeing, focusing on innovating real-world solutions to the key sustainability challenges facing the aviation industry," Etihad Aviation Group Chief Executive Officer Tony Douglas said. "The ecoDemonstrator program is founded on innovation and sustainability — and these are core values for Etihad Airways, Abu Dhabi and the United Arab Emirates. Etihad and Boeing see a great opportunity to collaborate and share knowledge to minimize the impact of aviation on the environment." The ecoDemonstrator program utilizes commercial aircraft to test technologies that can make aviation safer and more sustainable now and into the future. The 2020 program, which will begin testing in August, is the first to use a Boeing 787-10. "Industry collaboration is a key aspect of Boeing's ecoDemonstrator program that enables us to accelerate innovation," said Stan Deal, Boeing Commercial Airplanes president and CEO. "We're proud to broaden our sustainability partnership with Etihad Airways by testing promising technologies that can reduce emissions, help commercial aviation meet our climate goals, and allow the industry to grow in a responsible manner that respects our planet and its natural resources." Boeing and Etihad will work with industry-leading partners, including NASA and Safran Landing Systems, to conduct aircraft noise measurements from sensors on the airplane and the ground. The data will be used to validate aircraft noise prediction processes and the sound reduction potential of aircraft designs, including landing gear, that are modified for quieter operations. In addition, a flight will be conducted during which pilots, air traffic controllers and an airline's operations center will simultaneously share digital information to optimize routing efficiency and enhance safety by reducing workload and radio frequency congestion. Test flights will be flown on a blend of sustainable fuel, which significantly lowers aviation's environmental footprint. The testing program is expected to last about four weeks before Etihad enters its Boeing 787-10 into service. Contact Saffana Michael Boeing Communications saffana.michael2@boeing.com Mobile: +97150 4590651 Paul McElroy Boeing Communications paul.mcelroy2@boeing.com Mobile: +1 425-283-7740 SOURCE Boeing View source version on Boeing Newsroom: https://boeing.mediaroom.com/2020-07-20-Boeing-and-Etihad-Broaden-Sustainability-Alliance-by-Testing-Innovations-on-ecoDemonstrator-787