24 décembre 2018 | International, Aérospatial, Naval, Terrestre, C4ISR, Sécurité
Boeing's growing clout with U.S. President Donald Trump's Pentagon can no longer be ignored.
Trump announced Sunday morning on Twitter that he is forcing outgoing Defense Secretary James Mattis to leave earlier than expected, and he named Deputy Secretary of Defense Patrick Shanahan, a former Boeing executive, as acting secretary. Mattis, a retired Marine general, was slated to leave at the end of February. Shanahan will now take over on Jan. 1.
“Patrick has a long list of accomplishments while serving as Deputy, & previously Boeing. He will be great!” Trump tweeted.
Although Shanahan has not been formally tapped for secretary of defense, which requires Senate confirmation, sources say he is one of the White House's top picks for the job.
Shanahan's ascent is just the latest manifestation of the growing influence the world's largest aerospace company has in Trump's Pentagon. In the last six months, Boeing has wonthree multibillion-dollar competitions for major Department of Defense aircraft programs, despite massive delays in delivering a new tanker fleet to the U.S. Air Force.
Now, senior Pentagon leaders are forcing the Air Force to purchase a new version of Boeing's legacy F-15 fighter, a non-stealth jet that first flew in 1972, which will compete for the Air Force's limited resources with Lockheed Martin's new F-35 fighter jet.
The reportedly $1.2 billion proposal to buy the a dozen new variants of the “F-15X,” the same version of the aircraft Boeing is building for Qatar, reflects Boeing's outsize influence with senior leaders in the Trump administration, a phenomenon that dates back to the beginning of the president's term. As early as February 2017, Trump floated buying additional Boeing F/A-18 Super Hornet fighter jets, instead of the F-35. The U.S. Navy placed an order for over 100 new Super Hornets this spring.
Trump also has a personal relationship with Boeing CEO Dennis Muilenburg. The two men negotiated directly to reach a $3.9 billion deal for a new Air Force One presidential aircraft, which Trump claimed saves taxpayers $1.4 billion.
Certainly, Boeing has fought hard to offer the Pentagon its products at extremely competitive prices and allowed the department to boast considerable cost savings.
Boeing has adopted “an across-the-board aggressive posture in lobbying, pricing, and product development, largely due to fears that they were being eclipsed,” said Richard Aboulafia of the Teal Group. In addition, “very strong profits from Boeing's commercial jetliner side ... permits more aggressive bids by the military side.”
Full article: https://foreignpolicy.com/2018/12/23/boeing-pentagon-takeover-defense-department-mattis-shanahan
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Lockheed Martin (NYSE: LMT) develops satellite imagery recognition system using open-source deep learning libraries to quickly identify and classify objects or targets in large areas across the world, potentially saving image analysts countless hours manually categorizing and labeling items within an image. Global Automated Target Recognition runs in the cloud, using Maxar's Geospatial Big Data platform (GBDX) to access Maxar's 100 petabyte satellite imagery library and millions of curated data labels across dozens of categories that expedite the training of deep learning algorithms. Fast GPU's let GATR scan a large area very quickly, while deep learning methods automate object recognition and reduce the need for extensive algorithm training. GATR teaches itself what the identifying characteristics of an object area or target, for example, learning how to distinguish between a cargo plane and a military transport jet. The system scales quickly to scan large areas, including entire countries. GATR uses deep learning techniques common in the commercial sector and can identify ships, airplanes, buildings, seaports, and many other categories. “There's more commercial satellite data than ever available today, and up until now, identifying objects has been a largely manual process,” said Maria Demaree, vice president and general manager of Lockheed Martin Space Mission Solutions. “Artificial Intelligence models like GATR keep analysts in control while letting them focus on higher-level tasks.” GATR has a high accuracy rate, well over 90% on the models we've tested so far. It only took two hours to search the entire state of Pennsylvania for fracking sites – that's 120,000 square kilometers “I'm not an expert on what oil production sites are, and I don't have to be,” said Mark Pritt, senior fellow at Lockheed Martin and principle investigator for GATR. “This system teaches itself the defining characteristics of an object, saving valuable time training an algorithm and ultimately letting an image analyst focus more on their mission.” GATR builds on research Pritt's team pioneered during a Intelligence Advanced Research Projects Activity (IARPA) challenge, called the “Functional Map of the World.” The Lockheed Martin team was the only team from a company who placed in the top five. https://news.lockheedmartin.com/news-releases?item=128745