August 31, 2021 | International, Naval
Italian shipyard Fincantieri is holding early talks with Italy's Leonardo to acquire its naval gun manufacturing operation, formerly known as Oto Melara.
February 21, 2024 | International, Aerospace, Security
Canada has signalled it’s prepared to get behind a Czech Republic initiative to ship tens of thousands of artillery shells from different countries to Ukraine on an urgent basis.
February 18, 2019 | International, C4ISR
Current AI systems excel at tasks defined by rigid rules – such as mastering the board games Go and chess with proficiency surpassing world-class human players. However, AI systems aren't very good at adapting to constantly changing conditions commonly faced by troops in the real world – from reacting to an adversary's surprise actions, to fluctuating weather, to operating in unfamiliar terrain. For AI systems to effectively partner with humans across a spectrum of military applications, intelligent machines need to graduate from closed-world problem solving within confined boundaries to open-world challenges characterized by fluid and novel situations. To attempt this leap, DARPA today announced the Science of Artificial Intelligence and Learning for Open-world Novelty (SAIL-ON) program. SAIL-ON intends to research and develop the underlying scientific principles and general engineering techniques and algorithms needed to create AI systems that act appropriately and effectively in novel situations that occur in open worlds. The program's goals are to develop scientific principles to quantify and characterize novelty in open-world domains, create AI systems that react to novelty in those domains, and to demonstrate and evaluate these systems in a selected DoD domain. A Proposers Day for interested proposers is scheduled for March 5, 2019, in Arlington, Virginia: https://go.usa.gov/xEUWh “Imagine if the rules for chess were changed mid-game,” said Ted Senator, program manager in DARPA's Defense Sciences Office. “How would an AI system know if the board had become larger, or if the object of the game was no longer to checkmate your opponent's king but to capture all his pawns? Or what if rooks could now move like bishops? Would the AI be able to figure out what had changed and be able to adapt to it?” Existing AI systems become ineffective and are unable to adapt when something significant and unexpected occurs. Unlike people, who recognize new experiences and adjust their behavior accordingly, machines continue to apply outmoded techniques until they are retrained. Given enough data, machines are able to do statistical reasoning well, such as classifying images for face-recognition, Senator said. Another example is DARPA's AI push in self-driving cars in the early 2000s, which led to the current revolution in autonomous vehicles. Thanks to massive amounts of data that include rare-event experiences collected from tens of millions of autonomous miles, self-driving technology is coming into its own. But the available data is specific to generally well-defined environments with known rules of the road. “It wouldn't be practical to try to generate a similar data set of millions of self-driving miles for military ground systems that travel off-road, in hostile environments and constantly face novel conditions with high stakes, let alone for autonomous military systems operating in the air and on sea,” Senator said. If successful, SAIL-ON would teach an AI system how to learn and react appropriately without needing to be retrained on a large data set. The program seeks to lay the technical foundation that would empower machines, regardless of the domain, to go through the military OODA loop process themselves – observe the situation, orient to what they observe, decide the best course of action, and then act. “The first thing an AI system has to do is recognize the world has changed. The second thing it needs to do is characterize how the world changed. The third thing it needs to do is adapt its response appropriately,” Senator said. “The fourth thing, once it learns to adapt, is for it to update its model of the world.” SAIL-ON will require performers and teams to characterize and quantify types and degrees of novelty in open worlds, to construct software that generates novel situations at distinct levels of a novelty hierarchy in selected domains, and to develop algorithms and systems that are capable of identifying and responding to novelty in multiple open-world domains. SAIL-ON seeks expertise in multiple subfields of AI, including machine learning, plan recognition, knowledge representation, anomaly detection, fault diagnosis and recovery, probabilistic programming, and others. A Broad Agency Announcement (BAA) solicitation is expected to be posted in the near future and will be available on DARPA's FedBizOpps page: http://go.usa.gov/Dom https://www.darpa.mil/news-events/2019-02-14
September 4, 2019 | International, Naval
BAE Systems has been selected by the vessel contractor to provide the German federal police force, Bundespolizei, with three 57mm naval guns for its three new 86m Offshore Patrol Vessels (OPVs) built by Fassmer shipyard. BAE Systems has been selected by the vessel contractor to provide the German federal police force, Bundespolizei, with three 57mm naval guns for its three new 86m Offshore Patrol Vessels (OPVs) built by Fassmer shipyard. The gun systems, known as the Bofors 57 Mk3, will support the maritime arm of the Bundespolizei that monitors the country's North Sea and Baltic coastlines. The 57 Mk3 is a flexible, highly versatile gun system designed to react quickly for close-to-shore operations. “The Bofors 57 Mk3 is a versatile naval gun with firepower and range that exceeds expectations when compared with similar, medium calibre naval gun systems. That's how our 57 millimeter system has earned its reputation as the deck gun of choice for ships operating in coastal environments,” said Ulf Einefors, director of marketing and sales for BAE Systems' weapons business in Sweden. “This contract expands the number of European nations deploying the 57 Mk3 and reflects the growing interest we're seeing in the region, where we look forward to supporting new opportunities in the near future.” The 57 Mk3 naval gun is also in use with the allied navies and coast guards of eight nations, including Canada, Finland, Mexico, and Sweden, as well as the United States, where it is known as the Mk110 naval gun. This contract also includes accompanying fire control systems as well as systems integration support. Work is expected to begin immediately and will be performed at the BAE Systems facility in Karlskoga, Sweden. The first unit is scheduled for delivery in 2020. https://www.baesystems.com/en/article/germany-to-equip-new-coastal-patrol-vessels-with-bae-systems--57mm-guns