EU defense ambitions trickle down to industry, but is it good for business?

On the same subject

• 

  January 17, 2020 | International, Aerospace

  US Defense Department Awards C3.ai $95M Contract Vehicle to Improve Aircraft Readiness Using AI

  Redwood City, CA – January 15, 2020 – C3.ai, a leading enterprise artificial intelligence (AI) software provider for accelerating digital transformation, today announced a five-year agreement with the Defense Innovation Unit (DIU) to deliver C3 Readiness for Aircraft™ an AI-based software application that increases the readiness and availability of aircraft to accomplish their missions. Predicting an aircraft subsystem's risk of failure is essential to the U.S. military's fleet readiness. By using machine learning algorithms to monitor high-priority subsystems for risk of failure and predict the requirements for parts at air bases and depots, C3 Readiness for Aircraft shifts the paradigm from reactive to predictive maintenance. C3 Readiness for Aircraft provides a near real time view of aircraft health for each individual tail number. Using C3 Readiness for Aircraft, maintainers can be made available and prepared for work, and operations personnel can ensure that the right parts are available at the right time and at the right locations. With this application, organizations can substantially expand the use of existing aircraft and reduce the cost and time associated with unexpected maintenance. “Each hour an aircraft is grounded costs taxpayers tens of thousands of dollars – and approximately $292 billion of the Pentagon's annual budget is spent on operations and maintenance costs ,” said Ed Abbo‚ President and CTO, C3.ai. “Given these numbers, even a fractional increase in aircraft mission capability can save billions. We look forward to building on our initial success delivering solutions that extend the DoD's competitive advantage and support its ambitious plans to implement artificial intelligence at scale.” Defense Innovation Unit (DIU) is the DoD organization based in Silicon Valley charged with accelerating the adoption of innovative commercial technologies into the U.S. military to strengthen the nation's security. DIU connects customers with leading technology companies to prototype, transition, and field capabilities within 36 months. DoD has made it a priority to address readiness in the FY2020 Budget so that forces meet a minimum standard. Applying AI techniques helps the DoD achieve this objective rapidly in a cost-effective manner. C3.ai has repeatedly demonstrated its capabilities to DIU to significantly improve readiness for several Air Force units. As a result of a number of successful US Air Force implementations, including the E-3 Sentry (AWACS), C-5 Galaxy, F-16 Fighting Falcon, and F-35 Joint Strike Fighter Lightning II aircraft, and expansion to Army Aviation platforms such as UH-60 Blackhawk and AH-64 Apache helicopters, DIU sponsored the current up-to-$95M agreement that allows all the Services and other federal agencies to use C3.ai's software for aircraft predictive maintenance. C3 Readiness for Aircraft operates on the C3 AI Suite™, an integrated software platform that enables organizations to rapidly design, develop, and deploy enterprise-scale AI applications on any public or private cloud environment. The C3 AI Suite allows the DoD to integrate and unify large amounts of fragmented and disparate data, and make those data available for use by machine learning algorithms for insights that improve operations and provide situational awareness. C3.ai's applications are configurable for a variety of capabilities beyond AI predictive maintenance including intelligence data fusion, clearance adjudication, insider threat, improved logistics, supply risk identification, and AI-based operational support. About C3.ai C3.ai is a leading AI software provider for accelerating digital transformation. C3.ai delivers the C3 AI Suite for developing, deploying, and operating large-scale AI, predictive analytics, and IoT applications in addition to an increasingly broad portfolio of turn-key AI applications. The core of the C3.ai offering is a revolutionary, model-driven AI architecture that dramatically enhances data science and application development. Organizations such as Royal Dutch Shell, ENGIE, 3M, and Enel are currently leveraging C3.ai's enterprise software for greater efficiency, productivity, and reliability. Contact: C3.ai Public Relations: April Marks 650-503-2200 pr@c3.ai View source version on C3.ai: https://c3.ai/us-defense-department-awards-c3-ai-95m-contract-vehicle-to-improve-aircraft-readiness-using-ai/ https://www.epicos.com/article/531552/us-defense-department-awards-c3ai-95m-contract-vehicle-improve-aircraft-readiness

• 

  April 20, 2018 | International, Naval

  New undersea drones are smaller, cheaper and can be refueled deep under water

  By: Victoria Leoni NATIONAL HARBOR, Md. — Bright yellow underwater drones were a visible highlight on the exhibition floor here at the Sea-Air-Space Exposition. Among the autonomous underwater vehicles (AUVs) featured: a new high-speed, micro-sized vehicle by Hydroid and a subsea drone refueling station by Teledyne Energy. Hydroid's Remus M3V is substantially smaller than previous models. With a compact, A-size (36-inch long, 4.875-inch diameter) envelope and no fins or appendages, the vehicle can achieve speeds of more than 10 knots and dive up to 300 meters. It can be used in search and survey; intelligence, surveillance and reconnaissance (ISR); and multivehicle missions. With its variable center of gravity, the Remus M3V can also operate in buoy mode. Its key marketing points are its small size, low cost and compatibility with existing AUV operating systems. “The Navy always wants more with less,” said Justin S. Reid, business development manager at Hydroid. “They want a smaller vehicle that can do the same things as a larger vehicle, and also the price point to match it.” Teledyne Energy featured its untethered subsea power station at the exposition, along with its Gavia AUV. The Gavia can perform side-scan sonar operations to capture images of the sea floor. It is intended to travel ahead of Navy fleets and transmit oceanographic data back to the vessels. Teledyne's subsea power station can remotely refuel the Gavia and other underwater vehicles. Deployable via ship or helicopter, the fuel cell system has an energy storage of 200 kilowatt-hours and an operating depth of 3,000 meters. Teledyne will demonstrate the subsea power station at the Navy's Advanced Naval Technology Exercise in August. Get more news from the expo here. https://www.defensenews.com/digital-show-dailies/navy-league/2018/04/10/new-undersea-drones-are-smaller-cheaper-and-can-be-refueled-deep-under-water/

• 

  July 9, 2020 | International, Aerospace

  F-35 simulators can now team up with other fighter sims for virtual combat

  By: Valerie Insinna WASHINGTON — U.S. Air Force F-35 pilots at Nellis Air Force Base, Nevada, will now be able to step into a simulator and train alongside virtual F-16s, F-15s and other aircraft, a Lockheed Martin executive said Wednesday. Air Combat Command formally accepted Lockheed's Distributed Mission Training system on June 22 after a final test on June 18. During that test, four F-35 simulators at Nellis carried out a virtual mission with pilots in F-22, F-16 and E-3 AWACs simulators at other bases, said Chauncey McIntosh, Lockheed's vice president for F-35 training and logistics. “We did originally intend to deliver this in the April time frame, but Nellis Air Force Base did shut down some operations due to the COVID crisis,” he told reporters in a July 1 briefing. “We worked very hard with both the [F-35 Joint Program Office] and the United States Air Force to ensure as soon as the facilities were re-stood up and open, that we were there to deliver this capability.” Although F-35 pilots in a simulator could previously train with up to three other F-35 sims at the same site, the DTS system allows for those pilots to fly digitally with a large number of varying types of aircraft, as long as the simulators can operate on the same network. Lockheed previously connected F-35 simulators to other aircraft sims in its test lab, but the June 18 test was the first time F-35 simulators linked to a mass of other simulators for a virtual mission in a highly contested environment, Lockheed said in a news release. F-15s will also be able to connect into the DMT system. The next step, McIntosh said, will be installing the DMT capability at Naval Air Station Lemoore this fall and to Marine Corps Air Station Miramar in spring 2021. Both bases are in California. However, some limitations will still exist, even as new DMT locations are spun up. The capability is “very scalable to other platforms,” McIntosh said, but currently only F-35, F-22, F-16, F-15 and E-3 simulators are supported by DMT. McIntosh also previously told Defense News that the U.S. Air Force, Navy and Marine Corps as well as the United Kingdom, which also plans to acquire the DMT system, won't be able to train together because they use different networks. https://www.defensenews.com/air/2020/07/01/f-35-simulators-can-now-team-up-with-other-fighter-sims-for-virtual-combat