Lockheed Martin
Articles related to Lockheed Martin
Radar/EW
Antiship missile update signed with U.S. Navy by Lockheed Martin - News
July 08, 2019
ORLANDO, Fla. Lockheed Martin has garnered a $175 million contract with the U.S. Navy to update the Navy?s Long Range Anti-Ship Missile (LRASM) components and systems.
Radar/EW
Combat system from Lockheed Martin to be integrated, tested on U.S. Navy ships - News
July 03, 2019
BETHESDA, Md. Lockheed Martin has won a $7.1 million contract from the U.S. Navy for Combat System Ship Integration and Test on new-construction guided missile frigate (FFG(X)) ships.
Radar/EW
Acceptance trials completed by future USS Indianapolis prior to delivery to U.S. Navy - News
June 26, 2019
MARINETTE, Wis. Littoral Combat Ship (LCS) 17, the future USS Indianapolis, completed Acceptance Trials in Lake Michigan. This is the ship's final significant milestone before the ship is delivered to the U.S. Navy.
Unmanned
Tactical missile contract awarded to Lockheed Martin for U.S. Army and FMS customers - News
June 25, 2019
DALLAS, Texas. Lockheed Martin received a $561.8 million production contract for Army Tactical Missile System (ATACMS) missiles for the U.S. Army and Foreign Military Sales (FMS) customers.
Comms
Small-sat design from Lockheed Martin chosen for NASA asteroid-imaging mission - News
June 20, 2019
DENVER. Lockheed Martin has been chosen to design dual small deep-space spacecraft to visit near-earth asteroids for the "Janus" mission, which is led by the University of Colorado Boulder.
Unmanned
Hypersonic captive carry flight test performed by Lockheed Martin - News
June 17, 2019
PARIS AIR SHOW. Key tests for hypersonic weapons were performed by experts from Lockheed Martin the U.S. Air Force.? Testing involved the AGM-183A Air-Launched Rapid Response Weapon (ARRW) carried on the service's B-52 Stratofortress out of Edwards Air Force Base, Calif.
A.I.
Deep learning model from Lockheed Martin tackles satellite image analysis - News
June 12, 2019
BETHESDA, MARYLAND. A satellite imagery recognition system designed by Lockheed Martin engineers uses open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world. Company officials say the tool could potentially saving image analysts many man hours categorizing and labeling items within an image.
