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May 9, 2023 | International, C4ISR

Space Force launches platform to match promising tech with satellites

The Space Test Program released a draft solicitation May 8 seeking commercial companies to provide spacecraft and integration services.

https://www.c4isrnet.com/battlefield-tech/space/2023/05/09/space-force-launches-platform-to-match-promising-tech-with-satellites/

On the same subject

  • Lockheed Martin Awarded Air Force ICBM Contract

    October 25, 2019 | International, Land

    Lockheed Martin Awarded Air Force ICBM Contract

    Valley Forge, Pa., Oct. 23, 2019 /PRNewswire/ -- The US Air Force has awarded Lockheed Martin (NYSE: LMT) a $108 million contract for the Mark21A Reentry Vehicle (Mk21A) Technology Maturation and Risk Reduction (TMRR) contract. The potential value of the contract is estimated at $138 million: $108 million awarded in the three-year contract and $30 million as a potential one-year contract. "It is essential that Lockheed Martin continue our long-standing ICBM partnership with the Air Force to provide them with advanced solutions. We will continue to demonstrate, through this TMRR, cutting-edge engineering to defeat rogue nation threats," said John Snyder, vice president of Advanced Strategic Programs for Lockheed Martin. Lockheed Martin will work closely with the Air Force and the National Nuclear Security Administration to provide a technically low risk and affordable solution to modify existing Mk21 reentry vehicles with the capability to deliver the W87-1 Warhead for the Ground Based Strategic Deterrent Weapon System. The Mk21A TMRR contract is a key element of Lockheed Martin's strategy to remain the Air Force's trusted partner for ICBM Reentry Systems and modernization of the deterrent triad. For additional information, visit our website: www.lockheedmartin.com/icbm About Lockheed Martin Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company that employs approximately 105,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. SOURCE Lockheed Martin View source version on Lockheed Martin: https://news.lockheedmartin.com/2019-10-23-Lockheed-Martin-Awarded-Air-Force-ICBM-Contract

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

    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

  • Robots Autonomously Navigate Underground in DARPA Challenge

    February 28, 2020 | International, Aerospace, Land

    Robots Autonomously Navigate Underground in DARPA Challenge

    Whether robots are exploring caves on other planets or disaster areas here on Earth, autonomy enables them to navigate extreme environments without human guidance or access to GPS. The Subterranean Challenge, or SubT, is testing this kind of cutting-edge technology. Sponsored by the Defense Advanced Research Projects Agency (DARPA), the contest concluded its second circuit on Wednesday, Feb. 27. Taking first in the competition was CoSTAR, a 12-robot, 60-person team led by NASA's Jet Propulsion Laboratory (there were also winners declared for a separate, virtual competition). SubT is divided into four circuits spread over three years. With each, teams program their robots to navigate a complex underground course. The first contest, held last August, took place in a mine. For the most recent, called the Urban Circuit, teams raced against one another in an unfinished power plant in Elma, Washington. Each team's robots searched for a set of 20 predetermined objects, earning a point for each find. For the Urban Circuit, CoSTAR earned 16 points; the No. 2 team, with 11 points, was Explorer, led by Carnegie Mellon University. "The goal is to develop software for our robots that lets them decide how to proceed as they face new surprises," said CoSTAR's team lead Ali Agha of JPL. "These robots are highly autonomous and for the most part make decisions without human intervention." CoSTAR, which stands for Collaborative SubTerranean Autonomous Robots, brought machines that can roll, walk or fly, depending on what they encounter. Along the way, the bots have to map the environment and find objects like a warm mannequin that simulates a disaster survivor or a lost cellphone with a Wi-Fi signal. This particular course, which aims to simulate an urban environment, also included a carbon dioxide leak and a warm air vent. Joining the team for the Urban Circuit was a four-legged robot called Spot, which was provided by Boston Dynamics. "One of the two courses we had to run had multiple levels, so it was great that the Boston Dynamics robots were fantastic on stairs," says Joel Burdick, a Caltech professor and JPL research scientist. He is the leader of the Caltech campus section of the CoSTAR team. As the bots explore, they send back video and digital maps to a single human supervisor, who they remained in radio contact with for the first 100 feet (30 meters) or so of the course. They can extend that range by dropping communications nodes, a kind of wireless repeater. Once out of contact, it's up to each robot to decide whether to proceed or backtrack in order to update the team. Each must also rely on fellow robots to access different levels of the course. For example, a wheeled robot might request a quadrupedal one to climb or descend a flight of stairs. "These courses are very, very challenging, and most of the difficulty lies in communicating with the robots after they've gone out of range," Agha said. "That's critical for NASA: We want to send robots into caves on the Moon or Mars, where they have to explore on their own." Mapping caves on the Moon or Mars could identify good shelters for future astronauts. Moreover, if it exists at all, microbial life has a better chance of survival under the surface of Mars or within the icy seas of planetary moons, like Europa, Enceladus and Titan. NASA wants to search for life in these regions, where robots would be frequently out of contact. The next circuit in the Subterranean Challenge will be set in an undisclosed natural cave network this August. A final circuit that blends tunnels, urban environments and natural caves will take place in August of 2021. Teams competing in that final event have the opportunity to win up to $2 million in funding from DARPA. CoSTAR, includes JPL; Caltech, which manages JPL for NASA; MIT; KAIST (Korea Advanced Institute of Science and Technology); Sweden's Lulea University of Technology; and industry partners. News Media Contact Andrew Good Jet Propulsion Laboratory, Pasadena, Calif. 818-393-2433 andrew.c.good@jpl.nasa.gov 2020-041 https://www.jpl.nasa.gov/news/news.php?release=2020-041&rn=news.xml&rst=7607

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