IEEE Xplore’s Post

📰 News: 📰 --- Will AI and Laser Satellites Render Manned Submarines Obsolete by 2050? 🚢✨ The face of warfare is evolving, and with it, the tools we rely on. The U.S. military has heavily leaned on aircraft carriers, but now it faces the challenge of anti-access/area denial -A2/AD- systems. Let's dive deep into this topic and see if submarines could be the next casualty of technological advancements. 🧐 --A Quick Snapshot:-- - The U.S. Navy, with its limited fleet of advanced Virginia-class submarines, faces a tough road ahead, especially in prolonged conflicts. - Unmanned underwater vehicles -UUVs- and artificial intelligence -AI- are steadily making traditional manned submarines seem like relics from a bygone era. - --Advanced detection technology--, such as China's Project Guanlan laser satellites, are taking submarine tracking to the next level. So, could 2050 spell the end for manned submarines? One study suggests it's possible, but the outcome isn't set in stone. As we slide into the next phase of military evolution, it's crucial to question, debate, and adapt. 💬 What do you think? Are submarines on their way out, or is there still hope for this stealthy powerhouse? Drop your thoughts and let's fuel this conversation. Don’t forget to follow Bernier Group for more discussions on the future of military tech and strategy! #AIDriven #Digital #AI #Data #SMB #SME #Strategy #Innovation #Business #ArtificialIntelligence #AnniQ https://lnkd.in/ewcXDG5u

New solution brief: Airborne Mission Computing and Visualization with Versal AI Edge Series Gen 2 and Versal Prime Series Gen 2 Link: https://lnkd.in/gxQUjJdc Check out this new brief if you are involved in the aerospace and defense industry, specifically interested in airborne mission computing, imaging systems, flight control systems, and autonomous systems. #amd #xilinx #airborne #missioncomputing #ai #versal #fpga #soc #aiedge #prime #gen2 #computing #safety #security #aerospace #defense #subsystems #heterogeneous #aiengine #dsp #gpu #partitioning #noc #networkonchip #aicompute #signalprocessing #features #functionalsafety #longlife #solutionbrief

A Russian scientist has said that a sixth-generation aircraft – that Moscow is contemplating building – will not be completely autonomous and will be manned but will have more automation for routine flight and combat functions using “neural networks.” The first contours of the concept of a sixth-generation aircraft have finally emerged from Russia. Will such a jet be manned or unmanned is a question that is doing the rounds. This debate has emerged because of the complexity and diversity of various combat situations where adopting the right tactical decisions through contextual awareness will need sentient “intelligence.” Thus, a human cannot be excluded from military decision-making in a shooting war. EurAsian Times https://lnkd.in/dgh78sih

Aerospace Warfare: The X-62A VISTA's AI Breakthrough The United States Air Force Test Pilot School and Defense Advanced Research Projects Agency (DARPA) have been nominated for the 2023 Robert J. Collier Trophy, heralding a new era in aerospace with their pioneering work on the X-62A VISTA under the Air Combat Evolution (ACE) program. This initiative marks a significant leap in autonomous air-to-air combat capabilities, integrating advanced AI algorithms that challenge the traditional boundaries of manned and unmanned aircraft interactions. Strategic Insights: 🚀 The integration of AI in the X-62A VISTA aircraft is not just a technical achievement but a strategic revolution, showcasing the potential of AI to conduct complex maneuvers and decisions autonomously. 🚀 This breakthrough paves the way for new commercial and defense applications, potentially transforming regulatory landscapes and setting new competitive standards in the aerospace industry. Market Dynamics: 🛰️ The demonstration of AI capabilities in realistic combat scenarios against manned F-16s illustrates a significant advancement in trust and reliability in autonomous systems. 🛰️ As aerospace ventures into this new frontier, the implications for market dynamics are profound, influencing everything from investment strategies to international defense policies. Investment Opportunities: $ Forward-looking investors should consider the burgeoning sector of AI-driven autonomous systems within aerospace. Companies at the forefront of AI and machine learning integration present compelling long-term growth prospects. $ Engagement in this sector could yield strategic partnerships and innovation leadership, positioning stakeholders at the vanguard of aerospace technology. The X-62A VISTA project is not merely a step forward in military technology but a giant leap for aerospace applications at large. As we stand on the brink of this new technological dawn, the implications for market strategies and investment opportunities are vast. Stay tuned with Market Unwinded for more insights into how these groundbreaking developments shape the future of industries and investment landscapes. Dive deeper into this topic: https://lnkd.in/g6PFkkvW #Aerospace #DefenseTechnology #AI #MachineLearning #AutonomousSystems #InvestmentOpportunities #MarketUnwinded #X62AVISTA #Innovation

In a landmark event, the first-ever air combat simulation between an artificial intelligence (AI) system and a human pilot has taken place, showcasing the evolving capabilities of AI in aerospace technology. This unprecedented test marks a significant milestone in the development of autonomous systems and their potential applications in military and civilian aviation. The simulation involved a highly advanced AI, designed to mimic the tactics and decision-making skills of an experienced pilot, facing off against a skilled human pilot in a series of realistic aerial combat scenarios. The objective was to assess the AI’s performance, strategic thinking, and adaptability compared to human capabilities. Results from the simulation provide valuable insights into the future of air combat and the integration of AI into military operations. This event underscores the rapid advancements in AI technology and its growing role in reshaping the landscape of aviation and defense. As AI continues to evolve, such tests are crucial for understanding how these systems can complement and potentially enhance human decision-making in high-stakes environments. #AirCombat #AIvsHuman #AerospaceInnovation #TechMilestone #FlightSimulation

How Europe’s next-generation combat jet aims to catch the AI wave - Defense News "Mainland Europe’s Future Combat Air System, an ambitious effort to field a suite of warplanes and drones in the 2040s, could become the first large-scale defense program with artificial intelligence fully baked in. A consortium of Germany, France and Spain – with Belgium joining as an observer last year – promises to have the first airworthy demonstrators of the futuristic idea flying by this decade’s end. Artificial intelligence will play a key role in practically all aspects of the system...." The development and execution of artificial intelligence modalities in a military context require an understanding of how best to deploy this groundbreaking technology to support operational requirements. Calian Group is working with AI and large language models (LLM) to automate the development of military training exercise injects and events, with humans in the loop to validate content. This technology reduces the time and effort necessary to develop scenarios and exercise content, accelerating exercise development and making training development more agile. See our White Paper about how AI and LLM accelerates exercise development: @https://lnkd.in/egXriBbt #defence #defense #ArtificialIntelligence #AI #LargeLanguageModels #LLM #militarytraining #simulations #syntheticenvironment Note: Articles posted or shared on this Calian Defence Solutions site are for informational purposes only. Any views or opinions expressed herein are those of the articles’ authors and do not necessarily reflect the views or opinions of Calian Group. https://hubs.li/Q02GXz2H0

The recent combat drill over Edwards Air Force Base in California marks a significant milestone in military aviation history, with the world’s first known combat between a human pilot and a fighter jet controlled by artificial intelligence (AI). In this groundbreaking event, a pair of F-16 fighter jets engaged in aerial combat, reaching speeds of up to 1,200mph and closing in to within 600 meters of each other. One of the F-16s involved in the drill was piloted by a human, while the other was a modified version known as the X-62A, or VISTA (Variable In-flight Simulator Test Aircraft), which was controlled by AI. This demonstration showcases the increasing integration of AI technology into military aviation, highlighting the potential for unmanned or autonomous aircraft to play a role in combat scenarios. The successful execution of this drill demonstrates the capabilities of AI-controlled aircraft in aerial combat situations, raising questions and considerations about the future of manned versus unmanned aerial operations in military contexts. As AI technology continues to advance, it is likely that we will see further developments and integration of autonomous systems in military aviation, shaping the future of aerial warfare. But what has contributed to this development in aerospace technology, recently someone mentioned the relevance of a paragraph from a aerospace and defence perspective represent Wahbi et al., 2021] ‘Design, Optimization and Real Time Implementation of a New Embedded Chien Search Block for Reed-Solomon (RS) and Bose- Chaudhuri-Hocquenghem (BCH) Codes on FPGA Board’ International Journal of Communication Networks and Information Security, 13(1), pp. 9-14. By WAHBI, A., EL IDRISSI, A.,EL HABTI, ROUKHE, A., BENSASSI, B. and HLOU, L., published in April 2021 Now because of their job role, were they referring to this recent combat drill, because would it not make sense to know that and how it related to the relevance of different variations of the BERT model, such as DistilBERT, MiniBERT, SmallBERT, MediumBERT, and TinyBERT in its relationship with my blog that touched on the adaptability of AI agents utilising both Large Language Models (LLMs) and Small Language Models (SLMs) in pursuit of selecting the appropriate model needed, maybe even comparing them. #research #intrigue #f16 #x62a #vista #artificialintelligence #reedsolomon #aerospace #bert #largelanguagemodels #smalllanguagemodels #AIagents #combatdrills #aerialcombat #defenceperspective .

The UK Ministry of Defence (MOD) has reopened its £300 million Human Machine Teaming (HMT) framework to new participants, focusing on Robotic and Autonomous Systems (RAS). This initiative aims to leverage data and robotics to enhance battlefield decision-making and reduce reliance on human soldiers, especially in light of recent conflicts like the war in Ukraine, which showcased heavy drone usage. The HMT framework encompasses technologies such as Artificial Intelligence, Machine Learning, RAS, Networked Sensors, and Novel Weapons, with an emphasis on RAS development. UK Defence Secretary Grant Shapps emphasizes the changing nature of warfare, underscoring the importance of better human-machine teaming. The current opening of the HMT framework offers a £300 million headroom for the year, with potential extension until May 2026. It aims to enable RAS across various capabilities, categorized as "Operational RAS" directly affecting the battlefield and "Mission Support RAS" aiding operations execution. Applications for participation will be evaluated by the MoD's Expeditionary Robotics Centre of Expertise. The tender opened on April 16, 2024, and closes on May 17, 2024. Read more: https://lnkd.in/eFbht25J

D-Day 80th Anniversary: Imagining the Modern D-Day As we soon commemorate the 80th anniversary of D-Day, the largest amphibious assault in history, it is both humbling and fascinating to imagine how this monumental event might look today. On June 6, 1944, Allied forces launched a massive operation to liberate Western Europe from Nazi control, relying on the ideas of a few, meticulous planning of hundreds, millions engaged in logistics and the war effort, the bravery of thousands and months of preparations. If such an operation were to be executed in the 21st century, it would leverage the latest technological advancements, reshaping the very cornerstones of military strategy. Modern military operations are deeply intertwined with technological innovation. The sheer scale and complexity of D-Day would today necessitate an unprecedented level of integration between different technological systems. The planning and execution phases would be heavily reliant on advanced technologies. One of the most significant changes would be the incorporation of maritime drones. These autonomous or remotely operated vehicles would play a crucial role in reconnaissance, mine clearance, and even direct combat support. #MaritimeDrones can silently and efficiently gather intelligence, providing real-time data on enemy positions, fortifications, and naval defenses. They could ensure safe landing zones by checking the seabed or detecting, and neutralizing underwater mines. They can also support special forces ashore or be used to attack enemy ports or ships. #USVs and #AUVs could be used to mislead the enemy or jam communication. We may also expect that #AI would play an important role in analyzing massive volumes of data, including intelligence, providing reliable maritime situational awareness, and even preselecting targets (AI targeting). AI-driven simulations would allow military planners to test various scenarios, preparing for contingencies that human strategists might overlook. Looking forward, the integration of AI and advanced robotics into military operations will only deepen. The continued evolution of AI promises to bring about even greater efficiency and accuracy, reshaping the operations and tactics of modern warfare. It is clear that the principles of courage, sacrifice, and strategic ingenuity remain timeless. However, the tools and technologies at our disposal have transformed dramatically. The hypothetical execution of #DDay today would be a high-tech marvel, leveraging maritime drones and AI to achieve what was once accomplished through sheer human determination. As we honor the legacy of those who fought on June 6, 1944, we shall also recognize the profound impact of technological advancements on contemporary and future military operations.

DNNs are quickly becoming a conversational centerpiece for USAF leadership, especially as it pertains to air superiority. Quick backstory: In August of 2020, the championship round of DARPA's AlphaDogfight competition took place, where Heron Systems’ deep reinforcement learning software bested a human F16 pilot by a score of 5-0. The writing was on the wall. Today, the U.S. has two deep learning-based platforms jockeying for the right to pilot the first Collaborative Combat Aircraft (CCA) fleet: the AFRL’s Autonomous Air Combat Operations (AACO), and DARPA’s Air Combat Evolution (ACE). Commonly referred to as “Loyal Wingman,” the USAF is looking to buy 1,000 CCAs to fly autonomously alongside human-piloted F-35s (the plan is 2 CCAs for every F35). And they’ve got some options; they could go the route of the RAF and use Boeing’s MQ-28 Ghost Bat (which China seemingly cloned via their Feihong FH-97A) or they could go with something smaller, like the Kratos XQ-58 Valkyrie (which seems to be losing steam). Regardless of the hardware, it will be fascinating to see new software KPIs not only being referenced, but championed (i.e. inference performance, throughput, latency, etc.).  If I was a pilot, I would be taking a keen interest in improving my “Loyal Wingman’s” model performance 😉 #defensetech #deeplearning #airforce #uav #neuralnetworks #ai #darpa