6 octobre 2022 | International, Aérospatial

AEI buys York Space Systems, hires former Airbus executive Emerson

Company makes low-Earth orbit, geosynchronous equatorial orbit and "cislunar" spacecraft that operate between the earth and the moon.

https://www.c4isrnet.com/industry/2022/10/06/aei-buys-york-space-systems-hires-former-airbus-executive-emerson/

Sur le même sujet

  • DARPA official: To build trust in AI, machines must explain themselves

    20 avril 2018 | International, C4ISR, Sécurité

    DARPA official: To build trust in AI, machines must explain themselves

    By: Brandon Knapp Artificially intelligent systems must be able to explain themselves to operators if they are to be trusted, according to an expert from the Defense Advanced Research Agency, who voiced concern that methods used by current AI systems are often masked by mysterious algorithms. “A lot of the machine learning algorithms we're using today, I would tell you ‘good luck,” Fred Kennedy, the director of DARPA's Tactical Technology Office during a panel at Navy League's Sea-Air-Space on April 10. “We have no idea why they know the difference between a cat and a baboon.” “If you start diving down into the neural net that's controlling it,” Kennedy continued, “you quickly discover that the features these algorithms are picking out have very little to do with how humans identify things.” Kennedy's comments were in response to Deputy Assistant Secretary of the Navy for Unmanned Systems Frank Kelley, who described the leap of faith operators must make when dealing with artificially intelligent systems. “You're throwing a master switch on and just praying to God that [Naval Research Laboratory] and John's Hopkins knew what the hell that they were doing,” Kelley said of the process. The key to building trust, according to Kennedy, lies with the machines. “The system has to tell us what it's thinking,” Dr. Kennedy said. “That's where the trust gets built. That's how we start to use and understand them.” DARPA's Explainable Artificial Intelligence program seeks to teach AI how to do just that. The program envisions systems that will have the ability to explain the rationale behind their decisions, characterize their strengths and weaknesses, and describe how they will behave in the future. Such capabilities are designed to improve teamwork between man and machine by encouraging warfighters to trust artificially intelligent systems. “It's always going to be about human-unmanned teaming,” said Kennedy. “There is no doubt about that.” https://www.defensenews.com/home/2018/04/10/darpa-official-to-build-trust-in-ai-machines-must-explain-themselves/

  • All aboard the Sea Train!

    2 juin 2020 | International, Naval

    All aboard the Sea Train!

    Imagine the following scenario. Four medium-sized U.S. Navy vessels depart from a port along the United States' coast. There's no crew aboard any of them. About 15 nautical miles off the coast, the four vessels rendezvous, autonomously arranging themselves in a line. Using custom mechanisms, they attach to each other to form a train, except they're in the water and there's no railroad to guide them. In this configuration the vessels travel 6,500 nautical miles across the open ocean to Southeast Asia. But as they approach their destination, they disconnect, splitting up as each unmanned ship goes its own way to conduct independent operations, such as collecting data with a variety of onboard sensors. Once those operations are complete, the four reunite, form a train and make the return journey home. This is the Sea Train, and it may not be as far-fetched as it sounds. The Defense Advanced Research Projects Agency is investing in several technologies to make it a reality. “The goal of the Sea Train program is to be able to develop and demonstrate long-range deployment capabilities for a distributed fleet of medium-sized tactical unmanned vessels,” said Andrew Nuss, DARPA's program manager for Sea Train. “So we're really focusing on ways to enable extended transoceanic transit and long-range naval operations, and the way that we're looking to do that is by taking advantage of some of the efficiencies that we can gain in a system of connected vessels — that's where the name ‘Sea Train' comes from.” According to DARPA, the current security environment has incentivized the Navy and the Marine Corps to move from a small number of exquisite, large manned platforms to a more distributed fleet structure comprised of smaller vessels, including unmanned platforms that can conduct surveillance and engage in electronic warfare and offensive operations. While these unmanned vessels are smaller and more agile than their large, manned companions, they are limited by the increased wave-making resistance that plagues smaller vessels. And due to their size, they simply can't carry enough fuel to make the long-range journeys envisioned by DARPA without refueling. By connecting the vessels — physically or in a formation — the agency hopes the Sea Train can reduce that wave resistance and enable long-range missions. In February, the agency released a broad agency announcement to find possible vendors. Citing agency practice, Nuss declined to share how many proposals were submitted, although he did say there was significant interest in the announcement. The agency completed its review of any submissions and expects to issue contracts by the end of the fiscal year. Sea Train is expected to consist of two 18-month periods, where contractors will work to develop and test technologies that could enable the Sea Train concept. The program will culminate with model testing in scaled ocean conditions. If successful, DARPA hopes to see the technologies adopted by the Navy for its unmanned platforms. “What we're looking to do is be able to reduce the risk in this unique deployment approach,” Ness said. “And then be able to just deliver that set of solutions to the Navy in the future, to be able to demonstrate to them that there is, potentially, a new way to deploy these vessels, to be able to provide far more operational range without the risk of relying on actual refueling or in-port refueling.” And while DARPA's effort is focused on medium-sized unmanned vessels — anywhere from 12 to 50 meters in length — the lessons learned could be applied to larger or smaller vessels, manned or unmanned. https://www.c4isrnet.com/unmanned/2020/06/01/all-aboard-the-sea-train/

  • USAF Opens Bidding Phase Of B-52 Re-Engine Competition

    20 mai 2020 | International, Aérospatial

    USAF Opens Bidding Phase Of B-52 Re-Engine Competition

    Steve Trimble May 20, 2020 The U.S. Air Force has kicked off a three-way competition to re-engine the entire 76-aircraft B-52 fleet from 2021 to 2035. The request for proposals (RFP) released on May 19 invites bids from GE Aviation, Pratt & Whitney and Rolls-Royce to supply 608 engines to replace each of the eight, 60-year-old, 16,000 lb.-thrust P&W TF33 turbofans on the heavy bomber. GE can choose between the CF34 or Passport engine or offer both. P&W has proposed the PW800. Rolls-Royce will offer a military version of the BR.725. The Air Force RFP lays out a two-step selection process. In step one, companies must submit “virtual” prototypes of their engine, meaning a digital design with integrated models for manufacturing, performance and sustainment. Step 2 calls for the traditional engine source selection process, which will be informed by the data from the virtual prototypes and an integration risk analysis completed in the first step. The Air Force has said the TF33 engines that now power the B-52 cannot be sustained practically beyond 2030. The Cold War jet, meanwhile, is expected to continue operating beyond 2050, outliving the B-2 and B-1B fleets scheduled for retirement in the 2030s. Armed with a new class of hypersonic and long-range missiles, including the nuclear Long-Range Stand-Off Weapon, the B-52 will perform the standoff mission, while the B-21 penetrates into contested airspace. https://aviationweek.com/defense-space/aircraft-propulsion/usaf-opens-bidding-phase-b-52-re-engine-competition

Toutes les nouvelles