US to start deploying long-range weapons in Germany in 2026

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  June 14, 2019 | International, Other Defence

  Invisible Interdiction: Air Force Awards Contract for Rail-Mounted Anti-Drone System

  By: Harry McNabb While drone detection systems are proliferating recently, what to do when you've identified a rogue drone is still a problem. Solutions range from catcher drones equipped with nets to shoulder mounted “ray guns” and even drone hunting birds. In a recent press release (below), Invisible Interdiction announced the award of a U.S. Air Force contract to design and test a small lightweight rail-mounted drone jamming module: a device that can be attached to other weapons carried by military personnel. We reached out to Invisible Interdiction president, Clay Wild to learn more about the development of their technology: DRONELIFE: Congratulations on your award. Do you have a image that you could share with our readers? Clay Wild: “The system itself is still a rendering, but I've attached a couple of photos that might be useful. It will be an interesting capability.” DroneLife: Who is the Audience for your system? Whom is it designed for? Clay Wild: “The initial users will be US Air Force Security Forces personnel. The guys who guard Air Force bases. DRONELIFE: What is important about this award to Invisible Interdiction? Clay Wild: “This is our first major contract award. We are going to provide Security Forces Airmen the ability to stop drones interfering with their operations without the need to carry extra equipment. Attaching the countermeasure to the weapon provides them instant access to this device”. DRONELIFE: Tell us a little bit about Invisible Interdiction and how you got started. Clay Wild: “Invisible Interdiction was started only a year ago in March 2018 but we've been in the counter-drone business for almost four years now with other organizations. We are currently marketing to defense agencies in the U.S. but have a very active international representative network around the world introducing our capabilities to those military and police agencies that are allowed to deploy jamming capabilities. As you are aware, the RF jamming is a very sensitive technology around the world because of the potential for collateral effects. With most drones using the WIFI bands for control, jamming this part of the spectrum can impact everyday things like WIFI routers, Bluetooth devices, etc. We happen to design very directional and low-power jamming systems, but they can be temporarily impactful nonetheless. The use of this, and other types of countermeasures, is an interesting debate that is just starting.” DRONELIFE: How did you come up with the name of the company? Clay Wild: “The company name Invisible Interdiction refers to the use of ‘invisible' RF energy for interdiction of errant drones. This appeared to be an interesting play on what we do. Once folks think about it for a minute, the light goes on and..”oh yeah, I get it.” The following is an Invisible Interdiction press release. Invisible Interdiction Awarded Air Force Contract for Rail-mounted UAS Denial System. Melbourne, FL, May 30, 2019: Melbourne, Florida based Invisible Interdiction has been awarded a contract to design, test and qualify a very small, lightweight rail- mounted C-UAS jamming module. This Phase 3 contract is the result of a Special Topic SBIR award originally envisioned by the Air Force's Las Vegas-based innovation hub called AFWERX. Several barriers to working with the Air Force were removed including a shorter application process, an accelerated contract award and a shorter period of performance. This effort started in the fall of 2018 in response to the Air Force's pursuit of innovative counter-drone technologies. Invisible Interdiction submitted a concept that was selected and proven feasible late last year. This UAS denial system will be similar in size and weight to existing rail-mounted aiming lasers that are mounted on the Picatinny rail of issued shotguns or M4 rifles. Noted Invisible Interdiction CEO Bryan Sydnor, “We already have considerable experience designing small and lightweight hand-held and modular jamming systems. This weapon attachable jamming module will test our ability to design an effective capability that easily attaches to the service rifle or shotgun.” Prototype testing and qualification is scheduled for later this summer with production units available by the end of 2019. https://dronelife.com/2019/06/12/invisible-interdiction-air-force-awards-contract-for-rail-mounted-anti-drone-system/

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  June 11, 2020 | International, Land

  The next few months are ‘critical’ for the Army’s new helicopter engine

  By: Aaron Mehta WASHINGTON — The Army's Improved Turbine Engine Program is facing a “critical” stretch which will determine whether testing on the engine will occur on time or be delayed, thanks to challenges related to the COVID-19 pandemic, a pair of Army officials said Wednesday. Patrick Mason, the program executive officer for Army aviation, and Brig. Gen. Walter Rugen, the director for future vertical lift inside Army Futures Command, said that the service has finished its component critical design review (CDR) process, and has moved on to its full program CDR, a key milestone before moving into testing. However, “given COVID and all of the factors that have gone on with COVID,” the plan to have the full CDR done during second quarter has been pushed to third quarter, Mason said at an event hosted by the Heritage Foundation. ITEP is “the number one watch item we've had across the future vertical lift portfolio for COVID impacts,” Mason said, because “hardware needs to be coming in the latter part of this year so we can test at the component level, assemble into the engine, and then go to first engine test.” “So that's going to be critical over the next month to two months, to see where we stand on hardware deliveries with that, and then whether or not we will reach first engine test at the time that we had originally stated,” he said, noting the plan is for engine tests to proceed in 2021. Mason also noted that the delay is less dramatic than it may seem, because the original plan for ITEP called for the full CDR to be completed in the fourth quarter of this year; the Army felt it was ahead of schedule enough to shift that target to second quarter, until COVID caused the delay. In other words, CDR being completed in Q3 still means the program is ahead of its original baseline. General Electric Aviation won the $517 million award for the engineering, manufacturing and development phase in February 2019. The requirements included developing a 3,000 shaft horsepower engine that reduces fuel consumption by 25 percent and increases service life by 20 percent compared to the legacy T700 currently used in the Army's AH-64 Apache and UH-60 Black Hawk helicopters. In addition to replacing the engines on those two leacy platforms, ITEP is expected to power the Future Attack Reconnaissance Aircraft, or FARA design. For the heavier future rotorcraft known as the Future Long-Range Assault Aircraft, or FLRAA, the Army is looking at a heavier engine design, although the companies competing for the design will have the ability to pick their own engine designs as part of their pitches. “We really think the efficiencies there with a two engines strategy across all of Army aviation's tactical fleet would be a powerful way to go at both readiness and affordability concerns,” said Rugen. https://www.defensenews.com/land/2020/06/10/the-next-few-months-are-critical-for-the-armys-new-helicopter-engine/

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  January 23, 2019 | International, C4ISR

  The Army wants to use AI to prevent cyberattacks

  By: Justin Lynch If the U.S. Army has its way, soldiers deployed on the battlefield will be shielded from cyberattacks without human involvement. The Army's Aberdeen Proving Ground is conducting research into how artificial intelligence can protect soldiers' tactical networks and communications from cyberattacks, according to a Jan 14. announcement. Among the areas of research are ways for machine learning to automatically detect known cyber vulnerabilities, spot previously unknown malware and respond to a cyberattack. After the market research is submitted, the Army will use the submissions for informational and planning purposes only. The Army's hunt for AI research comes as the Pentagon has grown more interested in defending against cyberattacks that itself use machine learning. It is a future where machines will fight machines in cyberspace. That concern was evident in the service's announcement. “The cyber technology will secure automated network decisions and defend against adaptive autonomous cyberattacks at machine speed,” the Army wrote. Evidence of the Army's focus on AI was evident during the 2018 CyCon conference in November. The Army is interested in three primary categories of artificial intelligence attacks, Maj. Nathan Bastian, a researcher at the Army Cyber Institute said during the conference. First, data poisoning is a method in which an attacker inserts malicious information into a data set. Because artificial intelligence relies on these data sets to make decisions, their manipulation blunts machine learning's effectiveness, Bastian said. Second, an attack on artificial intelligence can take place by changing the classification methods. For example, if a cat is incorrectly labeled as a dog, than artificial intelligence's use is mitigated, Bastian said. Third, an inference attack, or figuring out where machine learning's boundaries lie, can be a weapon to defeat artificial intelligence. By discovering the limitations of the machine's algorithm, Bastian said hackers can manipulate its effectiveness. The Department of Defense has expanded its research into AI in recent months. In October 2018, the service created its AI task force, which is located at Carnegie Mellon University. Projects are initiated by the Army Futures Command. The Pentagon also created its Joint AI Center in the summer of 2018. At the CyCon conference, Brig. Gen. Matthew Easley, head of the Army's new AI task force, said that the Pentagon needs to integrate commercial AI products. “The commercial sector is driving current breakthroughs in applications of AI,” Easley said. Easley laid out four principles for what the Army sees as a successful AI project. They include clean data, an articulate use case, talent and technology. However, Easley cautioned about the boundaries of machine learning during the event. Limitations of AI can include a sample size that is too small and limited ability to use the machine learning in the field. He also said that AI struggles to detect zero-day attacks, which are programming bugs. “AI is not all that easy,” Easley said. “Realizing the potential of AI will require major transformation,” for the Pentagon. https://www.fifthdomain.com/dod/2019/01/22/the-army-wants-to-use-ai-to-prevent-cyberattacks