France to hand off 40 percent of land vehicle maintenance to industry by 2025

On the same subject

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  January 30, 2019 | International, C4ISR

  How the intel community could use machines and AI

  By: Mark Pomerleau The intelligence community has unveiled its multi-pronged plan to compete in the increasingly digital and data-centric world. The strategy, titled “Augmenting Intelligence using Machines (AIM)” and released Jan. 16, outlines how the intelligence community will adjust its investments, personnel and practices to better incorporate associated technologies “To meet its vision of ensuring intelligence advantage, the IC must adapt to the rapid global technological democratization in sensing, communications, computing, and machine analysis of data,” Sue Gordon, principal deputy director of national intelligence, said in the document. “These trends threaten to erode what were previously unique [IC] capabilities and advantages; going forward, we must improve our ability to analyze and draw conclusions from IC-wide data collections at scale.” During remarks at an August 2018 conference, Gordon said she wants the strategy to help focus on what the IC is trying to achieve rather than the technologies that they use.She described the need for getting machines as partners to help derive intelligence as one of the two most existential threats facing the community. The strategy lists four primary investment objectives ranked chronologically. They include: - Immediate and ongoing needs: Creating digital foundations, data and science and technical intelligence. - Short-term needs: Adopting commercial and open source narrow AI solutions, which are AI solutions that are designed with very specific tasks and functions. - Medium-term needs: Make investments in the gaps such as AI assurance and multimodal AI. - Long-term needs: Make investments in basic research focused on sense-making. The strategy notes that the “IC must be willing to rethink or abandon processes and mechanisms designed for an earlier era, establish disciplined engineering and operations practices, and maintain an absolute focus on assuring advantage in an intensely competitive global adversarial environment.” However, it also warns that artificial intelligence and associated technologies are not a panacea or a substitute for creating a digital foundation. Instead, the intelligence community must understand how AI algorithms may succeed and fail. The strategy also aims to bring together disparate efforts in artificial intelligence, process automation, and IC officer augmentation as a way to match investments in AI and data from other countries. One example includes the use of such technologies to create forgeries of audio and video, often referred to as deepfakes, which could lead to difficulties in deciphering fact from fiction. Gordon said in August that the National Geospatial-Intelligence Agency is using AI to automate image processing and the National Reconnaissance Office is using artificial intelligence tools to automate analysis of streaming multi-intelligence data for detecting activity and automating tasks of scarce and expensive collection resources. The strategy also focuses on the workforce. It notes that it is much more than technology and implementing the strategy will entail addressing workforce challenges and understanding and shaping the policies and authorities governing how the IC deploys and uses AI. https://www.c4isrnet.com/c2-comms/2019/01/28/how-the-intel-community-could-use-machines-and-ai

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  November 8, 2019 | International, Aerospace

  DOD: Space Force, F-15EX ‘In Peril’ Under CR

  By Lee Hudson The Pentagon has issued a laundry list of items that are “most in peril” during a potential six-month continuing resolution (CR) that includes the UH-60M helicopter, aircraft carrier maintenance, establishing a Space Force and new-start programs like F-15EX. Congress voted to pass a stopgap CR to keep the federal government funded through Nov. 21. Passing a CR buys Democrats and Republicans more time to reach consensus on fiscal 2020 appropriations bills, which are being held up for defense because of disagreement on funding a border wall. Operating under a CR only allows the Pentagon to operate at prior-year funding levels and the services cannot begin work on new-start programs. “We would like to see Congress find ways in the CR to fund those,” Chief Pentagon Spokesman Jonathan Hoffman told reporters Nov. 7 during a briefing. “The bottom line is that a CR, top to bottom, is debilitating. Whether it's readiness, we lose buying power, we lose predictability with our contracting, we lose the ability to train.” A six-month CR lasting through the first half of fiscal 2020 (ending March 31, 2020) would slash munitions procurement by 1,000 Joint Direct Attack Munition tailkits, 99 Sidewinder Air-to-Air Missiles and 665 Small Diameter Bomb IIs, which will constrain industrial production capabilities and delay inventory buildup. The Pentagon says delaying F-15EX production forces the Air Force to operate and sustain the aging F-15C fleet longer than planned, which would incur extensive maintenance actions. Operating under a six-month CR puts at risk Sikorsky UH-60M Black Hawk production of 15 aircraft valued at $247 million. A year-long CR would upset the current strategy for the Precision Strike Missile and increases risk to contract the Future Attack Reconnaissance Aircraft competition. Operating under a longer CR in fiscal year 2020 will curtail 14 ship availabilities, cancel ship underway training, shut down non-deployed carrier airwing and expeditionary squadrons and restrict fleet flying for training and deployments, Navy spokesman Lt. Tim Pietrack told Aerospace DAILY. The budget uncertainty will detrimentally affect the midlife refueling of the USS John C. Stennis (CVN 74), which requires funding for advance planning and long lead-time material purchases to begin the maintenance period in January 2021. “Failure to fund the CVN 74 [refueling and complex overhaul] will cause a month-for-month slip, increase costs, and delay the return of CVN 74 to the fleet,” Pietrack said. The CR also would impact the production rate of 22 F-5s, three MQ-9s, five F-35Cs and one KC-130J. Operating under budget uncertainty also blocks the Navy from increasing the production rate for the Tomahawk, Amraam, Rolling Airframe Missile, Joint Air to Ground Munition, Long-Range Anti-Ship Missile, Littoral Combat Ship (LCS) Over-The-Horizon missile, Evolved Sea Sparrow Missile, Mk. 48 torpedo and LCS module weapons. “Based on required progress payments, the CVN 80/CVN 81 Carrier Replacement Program will not have sufficient funding to make a required payment on May 1, 2020,” Pietrack said. “This could result in required renegotiation of the contract and higher end costs for both CVN 80 and CVN 81.” https://aviationweek.com/defense/dod-space-force-f-15ex-peril-under-cr

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  August 6, 2019 | International, C4ISR

  Can a dragonfly teach a missile how to hunt?

  By: Jen Judson WASHINGTON — A computational neuroscientist is studying whether a dragonfly's excellent hunting skills can be replicated in a missile's ability to maneuver and destroy targets midair with better precision. Dragonflies are vicious little creatures with a hit-to-kill track record of 95 percent, meaning only 5 percent of its prey escapes. Sandia National Laboratories' Frances Chance is building algorithms that simulate how a dragonfly processes information when intercepting prey, and she's testing them in a virtual environment. So far, the results are promising. The laboratories are federally funded and focus on national security missions through scientific and engineering research. The project is a yearlong, high-risk, high-gain effort that will wrap up in September, and it is funded by Sandia's Autonomy for Hypersonics Mission Campaign, Chance said. “I think what is really interesting about insects, in general, is they do something really fast and really well, but they are not particularly smart in the way you or I would think of ourselves as being smart,” Chance told Defense News in a recent interview. While insects may not be the right fit for studying cognitive capabilities to develop complex artificial intelligence, they are ideal for developing efficient computations for intercept capability. A dragonfly can react to a particular prey's maneuvers in 50 milliseconds, Chance explained. That amount of time accounts for information to cross three neurons in a dragonfly's brain. This indicates the dragonfly doesn't learn how to hunt, but rather the skill is inherent and part of its brain's hard-wiring. “The challenge then is: Is there anything that we can learn from how dragonflies do this that we can then bring to the next generation of missiles, or maybe even the next-next generation of missiles?” Chance said. By developing an artificial neural network that mimics a dragonfly's ability to hunt and then applying it to missile capabilities that rely on computation-heavy systems, one could reduce the size, weight and power needed for a missile's onboard computers; improve intercept techniques for targets such as hypersonic weapons; and home in on targets using simpler sensors. If the model of a dragonfly's neural circuit developed through Chance's research shows enough promise, she would then pass the information to scientists, who would try to directly apply it to weapons systems. One of the greatest leaps involves adapting an algorithm to handle the speed at which a missile flies. While a dragonfly is fast, it's not nearly as fast as a missile. Animal brains process information significantly slower than a computer, so it's possible computations can be sped up to better align with the speed at which a missile approaches targets. “The hope is that even if the algorithm isn't wildly successful, you might be able to say something about what you can get away with in terms of what types of capabilities you give the next generation of weapons,” Chance said. The model she's building is several steps removed from implementation onto a weapon. “I would consider the project complete when we have a viable model — ‘viable' meaning it does interception — and a bonus if it's neurobiologically plausible. There is no reason to force that for this type of research, but only because it doesn't necessarily matter; so something biologically inspired that works I would consider a success.” https://www.c4isrnet.com/land/2019/08/05/can-a-dragonfly-teach-a-missile-how-to-hunt/