25 juillet 2019 | International, Autre défense
By: Aaron Mehta
WASHINGTON – Newly installed U.S. Secretary of Defense Mark Esper says he is happy with the two-year budget deal's recommendation for the Pentagon, despite it being $12 billion less than what the White House requested for fiscal 2020.
Speaking to press just hours after taking office, Esper also said he is focused on filling empty spots at the Pentagon as quickly as possible to “make sure we have that civilian control of the military” firmly in place.
The Trump administration's request for defense in FY20 was $750 billion, a number Democrats in Congress tried to reduce to $733 billion.
The nearly $1.4 trillion spending plan announced Monday — which would prevent a government shutdown this fall and do away with the final two years of budget caps known as sequestration — includes about $738 billion in military funding for FY20. That's a 3 percent increase from current-year levels, which seems fine with the man now running America's military.
“$738 [billion] is a good number. We also have two years. We expect to see two years' worth of numbers. To the degree we have predictability, to the degree we can avoid [continuing resolutions], those things allow us to plan and make more efficient use of our dollars,” Esper said. “So I'm good with those dollars. No complaints.”
Esper is the first confirmed defense secretary since Jim Mattis resigned at the end of last year. But a number of spots — including 14 of 59 political spots, and four of the top six roles in the department — are still filled by acting individuals, something Esper highlighted as an issue he's hoping to quickly address.
“My perspective was from a service secretary and I think it's always challenging — people in acting jobs, when you don't feel the full confidence in the role, sometimes folks tend to maybe not behave as confidently because you're unsure and you also don't want to bind the person-who-may-actually-be-confirmed's hands,” he said, adding he does not think the open spots impacted operations.
“We need to get staffed up quickly,” he said. “We have to get stable leadership.”
One of those empty spots is Army secretary, now vacant with Esper's promotion. Ryan McCarthy, the service undersecretary, has been nominated to fill the full role. Asked about advice for his successor, Esper joked that he hopes McCarthy won't “break anything,” before saying he expects McCarthy's nomination to arrive at the Senate in a “matter of days.”
“His paperwork is at the White House, and everybody we put forth needs to be thoroughly vetted. So I think he should soon be coming out of the process,” Esper said. “The question is if it will be soon enough for the Senate Armed Services Committee to do its due diligence in a timely matter.”
The secretary has also asked for new guidance to be issued to the field to inform service members on the “very important role of media and press” in society.
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28 août 2020 | International, Naval
By KELSEY ATHERTON ALBUQUERQUE: The Navy is using Google Cloud to speed up a basic but time consuming task: finding and identifying rust. This approach has already been applied to inspect wind turbines and find potholes in roads, and promises advantages both in speed of inspection and in future predictive maintenance. “The AI technology behind this enabled the US Navy to quickly and seamlessly examine tens of thousands of images to prioritize the needs to be repaired immediately and or later on,” Mike Daniels, vice president of Global Public Sector, Google Cloud, told me in an interview. While Google was unwilling to disclose the exact value of the contract, the promise is that speedy, AI-enabled inspections will lower labor and material costs of inspection and repair enough to more than justify the expenditure on inspection AI. “The tools we're providing can not only save the Navy billions each year, but significantly improve readiness and speed deployment,” said Daniels. “And this is a physical job right now. We're improving results for the inspectors.” If AI-facilitated rust inspection can reduce the amount of time a ship needs to stay in harbor for repairs, it can narrow the window in which catastrophic disasters, like the fire which tore apart the Bonhomme Richard, can happen. This work is being done through Simple Technology Solutions (STS), who was awarded the work as a Phase 1 Small Business Innovation Research project. To train the AI, STS flew a drone on inspections to get images of rust. Next, STS combined these drone-filmed images with public domain images of ships, and uploaded both sets to a Google Cloud server. Specifically, the inspections will look for broad area rust and corrosion, as well as subtler damage that human eyes might skip over, like pitting or focused damage. Using native machine learning built into the Google Cloud, STS could then train the algorithm to process, understand and identify rust in the images. This is an iterative process, one where every uploaded inspection improves the accuracy of the next inspection. “There's no classified data that's going to be handled as part of this project,” said Daniels, noting that Google offers a high level of protection for images stored in its cloud by default. As we have seen in the past, aggregated unclassified data can sometimes be enough to reveal classified information, but the immediate utility of cloud-powered inspections should offset any distant concern of weakness revealed through corrosion maintenance. Most importantly, the inspection tool promises savings in time. A widely-cited 2014 report from the US Navy attributed the cost of fighting rust and corrosion at $3 billion. Some of that cost is hard to shake: the paint used to cover rust-scrapped areas can cost as much as $250 a gallon. Catching corrosion quickly and early shortens the amount of time humans need to work to fix a vessel, and should reduce the area that needs repair for each inspection. https://breakingdefense.com/2020/08/navy-turns-to-ai-to-save-billions-in-fight-against-rust/