11 octobre 2022 | International, Terrestre
Robotics companies don't want robots weaponized ' will anyone listen?
Whether anyone will adhere to the contents of letter is another story.
30 avril 2018 | International, Aérospatial, Naval, Terrestre, C4ISR
By: Aaron Mehta
WASHINGTON ― The Defense Security Cooperation Agency announced this week that it is reducing a surcharge on American defense goods sold abroad from 3.5 percent to 3.2 percent, effectively dropping the price foreign nations have to pay when buying weapons through the Foreign Military Sales system.
The change will go into effect June 1. The funding from the surcharge is used to support the FMS process, by which the U.S. government acts as the go-between for industry and a foreign customer, using the American acquisition system.
The announcement comes days after the Trump administration rolled out a new set of guidelinesfor conventional arms transfers and unmanned systems as part of a broader push to increase American weapon sales abroad.
The U.S. sold $41.9 billion in arms through the FMS process in fiscal 2017, per a DSCA statement. Based on that figure, the U.S. took in roughly $1.46 billion through the 3.5 percent surcharge. Reducing it to 3.2 percent would drop that number to around $1.34 billion.
DSCA head Lt. Gen. Charles Hooper tied the surcharge cut directly to that broader goal, saying in the announcement that the change “will immediately reduce the cost of doing business for our international partners.”
“It demonstrates the Department of Defense's commitment to charge only what is needed in order to support the administration of the FMS program which includes the sale of defense articles, defense services, and military training,” Hooper added.
11 octobre 2022 | International, Terrestre
Whether anyone will adhere to the contents of letter is another story.
18 novembre 2019 | International, C4ISR
By: Mark Pomerleau Department of Defense officials routinely talk about the need to more fully embrace machine learning and artificial intelligence, but one leader in the Marine Corps said those efforts are falling short. “We're not serious about AI. If we were serious about AI we would put all of our stuff into one location,” Lt. Gen. Eric Smith, commander of the Marine Corps Combat Development Command and the Deputy Commandant for Combat Development and Integration, said at an AFCEA Northern Virginia chapter lunch Nov. 15. Smith was broadly discussing the ability to provide technologies and data that's collected in large quantities and pushed to the battlefield and tactical edge. Smith said leaders want the ability to send data to a 50-60 Marine cell in the Philippines that might be surrounded by the Chinese. That means being able to manage the bandwidth and signature so that those forces aren't digitally targeted. That ability doesn't currently doesn't exist, he said. He pointed to IBM's Watson computer, noting that the system is able to conduct machine learning and artificial intelligence because it connects to the internet, which allows it to draw from a much wider data pool to learn from. Military systems aren't traditionally connected to the broader commercial internet, and thus are limited from a machine learning sense. “We have stovepipes of excellence everywhere from interagency, CIA, NSA. The Navy's got theirs, Marine Corps' got theirs, everybody's got theirs. You can't do AI when the machine can't learn from one pool of data,” he said. Brown noted that he was not speaking on behalf of the entire department. Pentagon leadership has come to similar conclusions. Top officials have noted that one of the critical roles the Joint Enterprise Defense Infrastructure cloud program will do is provide a central location for data. “The warfighter needed enterprise cloud yesterday. Dominance in A.I. is not a question of software engineering. But instead, it's the result of combining capabilities at multiple levels: code, data, compute and continuous integration and continuous delivery. All of these require the provisioning of hyper-scale commercial cloud,” Lt. Gen. Jack Shanahan, director of the Joint AI Center, said in August. “For A.I. across DOD, enterprise cloud is existential. Without enterprise cloud, there is no A.I. at scale. A.I. will remain a series of small-scale stovepipe projects with little to no means to make A.I. available or useful to warfighters. That is, it will be too hard to develop, secure, update and use in the field. JEDI will provide on-demand, elastic compute at scale, data at scale, substantial network and transport advantages, DevOps and a secure operating environment at all classification levels.” Overall, Smith said that industry should start calling out DoD when policies or technical requirements hinder what it can offer. “If we're asking for something that is unobtanium or if our policies are keeping you from producing something we can buy, you've got to tell us,” he said https://www.c4isrnet.com/artificial-intelligence/2019/11/15/one-way-for-the-pentagon-to-prove-its-serious-about-artificial-intelligence/
2 juin 2024 | International, Sécurité
Russian GRU-backed threat actor APT28 is behind campaigns targeting networks across Europe with HeadLace malware and credential-harvesting web pages.