This article covers four real-world use cases from four military defense contractors that claim to offer either drones or the AI software behind them: We’ll begin this report with a general overview of AI military drones and UAVs: Drone technology itself is a relatively new area of military technology, but military engineers took to combining drones with artificial intelligence rather quickly to create a product that in some cases might be comparable to the performance of human reconnaissance teams. Sheild.AI offers Nova, an autonomous quadrotor drone that runs the company’s Hivemind software. In this article, we’ll take a look at several military drones and UAVs with AI capabilities. . Anatoli Gorchet is a co-founder and CTO at  Neurala. The quadrotor drone design uses four propeller turbines to achieve thrust as opposed to the fixed wing design of the larger UAV’s commonly used in the military. The carrier-based autonomous drone, Northrop Grumman X-47B … Mercury Systems, Inc., a Massachusetts-based aerospace and defense embedded systems supplier company, said that it recently introduced the Ensemble Series HDS6603B and HDS6605 next generation, rugged OpenVPX server blades that may serve UAS AI applications. Companies are embarking on efforts to embed artificial intelligence (AI) on military unmanned aircraft systems (UAS), though the timing of full and effective autonomy for such drones is uncertain. This is a big step forward. “What was considered ‘AI’ in the past, is considered a software application today. The GPS technology integrated into the drones … As dozens of defense companies seek to use AI to develop lethal autonomous weapons (LAWS), humanitarian groups seek to build international support for a treaty to ban them. Beyond the use of AI for ISR UAS, AI may enable autonomous UAS that serve as weapons, and, for the latter uses of AI, technological obstacles are not the sole ones. In this article, we’ll take a look at several military drones and UAVs with AI capabilities. The Department of Defense (DoD) is increasingly interested in Artificial Intelligence (AI). T he US Army recently announced that it is developing the first drones that can spot and target vehicles and people using artificial intelligence (AI). The military seems to commonly apply AI for allowing its drones to fly on their own, which requires, This article covers four real-world use cases from four, an autonomous drone for indoor navigation, the world’s most widespread military drone, a drone that can purportedly train operators on how to use it in the field, an AI software currently that could allow military drones to conduct reconnaissance and patrol missions, a series of Unmanned Aerial Vehicles (UAVs). The drones can reportedly operate autonomously from the beginning to the end of a mission, and can be instantly monitored and controlled via intelligence applications. STS will use drone photos and images in the public domain to build the model using Google Cloud AutoML, which lets organizations build custom AI products. The results put the ball in the AI… Next generation radar and electronic warfare systems with cognitive/AI processing capability for assessing previously un-encountered threats. In our previous report, we covered the current use cases for AI in construction and building. The US military started using the Raven series in 2004, and it is currently in the field today. In a message to CCW's Group of Government Experts convened for a meeting on emerging LAWS technologies last March, U.N. Secretary General António Guterres wrote that "autonomous machines with the power and discretion to select targets and take lives without human involvement are politically unacceptable, morally repugnant and should be prohibited by international law. Panag (retd) lamented India’s lack of drones when China and Pakistan already have it. The service is testing the weapon and other-directed energy weapons in the wake of attacks by multiple drones against Saudi oil facilities last September—attacks that the Yemenese Houthi movement said that it conducted in response to Saudi intervention in the Yemenese civil war. This would have trained the algorithm to discern the sequences and patterns of 1’s and 0’s that, to the human eye, form the image of the content its been trained on, such as a person amongst a crowd. Anduril Industries' Palmer Luckey warns of an "AI arms race" and embraces the … As the drone is operating autonomously, the exact flight pattern and maneuvers would be left to the artificial intelligence. This also likely requires facial recognition, which comes with an additional layer of training. The system then alerts a human operator that the target may have been located. offers the Desert Hawk III, a drone developed for use in the field by a single operator, similar to Aerovironment’s Raven series. The UAV’s GPS controller can map the drone’s routes. He manages content and marketing processing, and helps with research into Emerj's primary business sectors. The algorithm behind the software would then be able to move itself and its operational payload (for example, the listening devices it is equipped with) safely to the determined location. All rights reserved. An explorable, visual map of AI applications across sectors. The vast majority of the many thousands of military drones are used for surveillance, and defence experts predict that will continue. R2-D2 in the Cockpit? There have been calls from within the Chinese government to avoid an AI arms race. We’ll start our analysis of the state of AI-based drone technology in the military with a general explanation of how a drone might fly on its own: All of the drones highlighted in this report can fly without a human operator. Shield.AI, AeroVironment, and Lockheed Martin all showcase how military defense contractors are combining current computer vision technology and image recognition with drones to solve military problems without the need of endangeri… Swarming drones might be chilling, but the US military must consider them. The Queensland Government is supporting Boeing's autonomous systems technology development through its Advance Queensland partnership. We’ve previously interviewed Neurala’s CEO Massimilano Versace on the topic of machine vision in heavy industry. He holds a PhD in Mechanical Engineering from the University of Pennsylvania. Air Force Conducts Flight Tests With Subsonic, Autonomous Drones. The AC-14 payload has a number of other ISR features, including the ability of an operator to monitor electro-optical, infrared, and short-wave infrared video streams simultaneously. Sign up for the 'AI Advantage' newsletter: Lockheed Martin offers numerous artificial intelligence solutions to the US military. A new city named Era, devoted entirely to military innovation, is currently under construction. The below photo shows an Army sergeant launching a drone in the Raven series: Most of AeroVironment’s line of UAV products, including the Raven series, is designed to be operated and used in combat situations by a single person in the field. Rugged, embedded processing power to augment EO/IR sensors. This would have trained the algorithm to discern the sequences and patterns of 1’s and 0’s that, to the human eye, form the image of the content its been trained on, such as a person amongst a crowd. The Royal Canadian Navy has also recently ordered AeroVironment’s Puma series of UAV for maritime use. Discover the critical AI trends and applications that separate winners from losers in the future of business. China has invested $30 billion dollars in AI research. DARPA has successfully steered and developed many autonomous platforms in the US. For more on how machine vision systems are trained for self-driving cars, read our section on the topic on our report on crowdsourced machine vision training. Neurala claims their software uses fewer data and needs less time to train, “requiring only 20% of images per class typically needed and 20 minutes compared to days.”  Image recognition training typically requires great quantities of labeled image or video data. The technocratic nightmare born out of trans humanism and eugenics receives another gift from the military industrial complex at the expense of humanity. Also in the U.S., the Defense Advanced Research Projects Agency (DARPA) is engaged in UAS AI efforts, including the Offensive Swarm-Enabled Tactics (OFFSET) program to equip soldiers fighting in urban areas with swarms of up to 250 UAS and unmanned ground systems. According to the company, military personnel in the field can assemble the drone in 5 minutes and toss it into the air to deploy it, as shown in the image above. Russia’s leader, Vladimir Putin, has said “Whoever becomes the leader in … [AI] will become the ruler of the world.” To remain militarily viable, the US must continue to develop AI embedded weapons. For many military experts and commentators, lethal autonomous weapon systems, or “killer robots,” are the most feared application of artificial intelligence in military technology. Several militaries claim to leverage machine learning, working with contractors and companies in some cases to deliver AI solutions. Oculus founder's Ghost 4 military drones use AI for surveillance and attack. Drones offer many advantages over traditional warfare tactics with the ultimate goal of reducing soldier fatalities. The use of ai military drones technology has been increasing in today’s complex geopolitical environment. Part of that effort is Boeing's 38-foot-long Airpower Teaming System (ATS), which flew for the first time last November. Members receive full access to Emerj's library of interviews, articles, and use-case breakdowns, and many other benefits, including: Consistent coverage of emerging AI capabilities across sectors. The newly labeled recordings are then run through the machine learning algorithm that is planned to operate the drone. AeroVironment claims its Raven series of UAVs is the most widely used UAV in the world. By Shawn Helton. Though there is plenty of controversy regarding the government use of military drones it is not something that is going away. Conducting scientific research with drones and AI is a huge step in the world of science. And our Tacitview/Catalina suite leverages server and cloud computing based processing of live and archived full motion video to extract information from sensor data. The US military started using the Raven series in 2004, and it is currently in the field today. The new drones use physics and AI to stay in the air inside a small room (Image: Getty stock image) The military’s new addition comes after testing of a … Implementing artificial intelligence for drones is a combination of mechanical devices, navigational instruments, and machine vision. There may be many benefits to autonomous drones on the battlefield and those benefits, if harnessed correctly, could save the lives of operators and human resources of a military. Although there are differences in the exact design and abilities of each drone, in general, autonomous drones are similarly trained. Or it offers more capacity for resistance, autonomy, and teamwork. Our Insitu Common Open-mission Management Command and Control (ICOMC2) and Inexa GCS software suites use processing on the ground to assist flight planning and sensor control. The UAV’s GPS controller can map the drone’s routes. The U.S. Army planes to use drones and AI to help keep tabs on the enemy. The military seems to commonly apply AI for allowing its drones to fly on their own, which requires machine vision. The IRGC has recently drilled “Fuji assaults” in which artificial intelligence helps coordinate boats, planes, tanks, and drones in a broad attack. AI-enabled drones are helping humans do things previously thought impossible. Below is a short  2-minute video demonstrating how Nova  flies and the display system Nova shares with its operator: We could not determine if any military uses Hivemind yet, but Shield.AI has raised $13.1 million in venture funding from Andreessen Horowitz and Bloomberg Beta. Mission-critical effector systems (e.g. Ruchin Sodhani 3 November, 2020 10:42 am IST. Aircraft of this type have no onboard human pilot. Drone technology itself is a relatively new area of military technology, but military engineers took to combining drones with artificial intelligence rather quickly to create a product that in some cases might be comparable to the performance of human reconnaissance teams. Through edge processing, drones do not have to send information to the cloud and thus may achieve greater performance, information security, and autonomy. Military artificial intelligence can be easily and dangerously fooled. by Robert W. Button. Previously, Gorchet served as research professor at  Boston University. Drone operators are usually located in guarded facilities thousands of miles away from the attack. Neurala offers Neurala Brain, a namesake software which it claims helps drones equipped with cameras recognize and identify predetermined targets and then alert a human operator. For agriculture, prospective drone applications in global projects were valued at $32.4 billion. Neurala claims it’s software can comb through crowds to find and identify persons of interest. The new drone, the Ghost 4, shows the potential for AI in military systems. Photos of specific people, likely taken from social media or government databases, would need to be run through the machine learning algorithm as well. This would essentially train the software to identify persons of interest amongst a crowd. -minute video demonstrating how Nova  flies and the display system Nova shares with its operator: at Carnegie Mellon. What India’s military commentators don’t get about drones — AI can’t just be unboxed and used Lt Gen H.S. The Valkyrie is designed for rail take-offs and parachute landings and thus does not require a runway or aircraft carrier. The U.S. Army planes to use drones and AI to help keep tabs on the enemy. AeroVironment claims its Raven series of UAVs is the most widely used UAV in the world. . Traditionally, teams of military operators work together on UAV missions; some teams maintain the drone, while others pilot or plot the drone’s flight course. The Royal Australian Air Force plans to fly a Loyal Wingman prototype early this year--a reduced radar cross section (RCS) UCAV flying at high-subsonic or low-supersonic speeds and providing support to manned fighters via the UCAV's weapons and data sharing. Air Force Testing 'Skyborg' AI Program. U.S. military pilots engaged drones in the 1970s, but the drones were remotely controlled. He holds a PhD in Statistical and Computational Monitoring from Boston University  Previously, Browning served as an autonomous technologies consultant. Shield.AI, AeroVironment, and Lockheed Martin all showcase how military defense contractors are combining current computer vision technology and image recognition with drones to solve military problems without the need of endangering human life. But AI can’t just be deployed in a battlefield. The partnership is part of an initiative called Project Maven, which the Department of Defense intends to improve America’s ability to win wars “with computer algorithms and artificial intelligence,” a feat achieved by rapidly upgrading the military’s ability to analyze drone footage. Lockheed Martin’s Desert Hawk III can purportedly plan its flight path ahead of time and can train a new operator on how to operate and use it in the field. AI allows machines such as drones to make decisions and operate themselves on the behalf of their human controllers. Global Research, October 09, 2013. The US military seems to have started using drones in the early 2000s, and now they are starting to apply AI to these drones for possibly greater advantage. This new AI, known as ALPHA, is designed for military drones or 'unmanned aerial vehicles… Regardless of humanitarian groups efforts though, it is possible that AI and machine learning (ML) may one day find their way to almost all advanced military drones, according to Insitu’s McGrew. People then label objects in the resulting recordings, such as a wall, mountain, or cliffside. This is a big step forward. While the USA maintains its position as one of the biggest manufacturers and users of military drones across the world, many other countries have resorted to reinforce their drone manufacturing capabilities to meet the geopolitical requirement of their region. Enabled by AI, ATS is a "modular and highly customizable aircraft with fighter-like flight capabilities," according to Boeing, which envisions ATS as enabling manned-unmanned teaming in which the unmanned system could "complement and support a specific threat-based mission.". This is a big step forward. Russia's MiG Developing Drone Wingman Concept for Fighters As of now, numerous companies claim to assist building maintenance managers in aspects of their roles from optimizing energy usage in building to improving the comfort of building occupants. AI is to aid in analyzing the data provided by the AC-14 for the Integrator drones. These labeled images would then be run through the software’s machine learning algorithm. Although university labs had experimented with quadrotor autonomy, and a few high-profile small-drone projects had dabbled with military applications, AI-driven drones had yet to be put to use. The company claims to help military operators effectively complete both routine and critical missions with less risk of endangering the lives of military operators. With DARPA announcing a new $2 billion investment in "next wave" military AI, time is running out. 7 Best Ai Military Drones Companies . The sentiment is echoed in the private sector, where the chairman of Alibaba has said that new technology, including machine learning and artificial intelligence, could lead to a World War III. The U.S. Air Force has selected three defense companies to produce unmanned aerial vehicle prototypes for its Skyborg program, which will pair a drone … We found that these solutions help highlight the wide breadth of current and near-term military applications of machine vision. These labeled images. Thanks for subscribing to the Emerj "AI Advantage" newsletter, check your email inbox for confirmation. Artificial Intelligence and Death by Drones: the Future of Warfare will be “Decided by Drones” not Humans. “The military drone market is always looking for small form factor and size, weight and power (SWaP) optimized systems, so high-performance, compact GPGPU-based systems offer an ideal set of characteristics for these types of applications,” Mor said. The US Army, Navy, Air Force, and Marine Corp all use The Raven series. Kratos said that its drones are also made with affordability in mind, as they cost between $1 million and $3 million per copy. © 2020 Emerj Artificial Intelligence Research. California-based Aitech said that its A176 Cyclone and A178 Thunder supercomputers can provide generous AI for military drones, as the systems are ruggedized to military specification and run on parallel NVIDIA general-purpose computing on graphics processing units (GPGPU). “These systems typically include some type of image or graphic processing, for example, starting from capturing the images and video and ending up with complex real-time mapping and navigation systems. “The demand for military unmanned aerial vehicle (UAV) programs is growing continuously, meaning drones are also in demand,” he said. On a stage and addressing a crowded auditorium, an executive unveils an amazing advance: a tiny drone endowed with Artificial Intelligence (AI) that fits in the palm of his hand and is able to select its human target and fire a load of three grams of explosive into the brain. The concepts may involve a swarm of lighter UCAVs working in tandem with fighter aircraft. Military forces around the world utilize AI … Linkedin. When equipped to a military drone, the software could identify a specific target in the field. These drones are usually under real-time human control, with varying levels of autonomy. ... the science fiction nightmare where AI-powered drones … There are a variety of use cases for AI when it comes to drone technology. But AI can’t just be deployed in a battlefield. You've reached a category page only available to Emerj Plus Members. Autonomous military drones blended with artificial intelligence being developed are stealthy, have sensor fusion, various channels of communication, autonomous navigation, scheduling of tasks and even autonomy of choosing tactics. For military leaders, the development of AI-operated drone swarms serves as a stark example of how rapidly the landscape can shift and how war … Drones will locate and identify enemy forces, then feed the data to an AI constructing a "big picture" of the battlefield. September 7, 2017. Boeing's 15-strong autonomy test bed fleet is testing out teaming, mission system and AI capabilities. Facebook. All of the companies in this report employ CTOs from premier universities, and the US Department of Defense is already using some of their products. One key participant in the initiative is the 30-foot Kratos XQ-58A Valkyrie, which has flown three times and which advertises a cruise speed of more than .7 Mach. AI Drone in Military and Defense Sector In military and defense sector drones are becoming popular to develop for the unmanned weapons to combat or bombard on the enemies in the war. “AI and ML are generic terms for a wide variety of data processing, control, and optimization techniques applicable to almost any industry or system,” McGrew said. We've distilled three simple "rules of thumb" for separating AI hype from genuine AI innovation: At Emerj, we have the largest audience of AI-focused business readers online - join other industry leaders and receive our latest AI research, trends analysis, and interviews sent to your inbox weekly. In January 2019, reports emerged that Russia was developing an autonomous drone, which “will be able to take off, accomplish its mission, and land without human interference,” though “weapons use will require human approval.” Cooperation with the Private Sector. MilSOFT’s AI-based software is also expected to enable swarm drones to perform frontal attacks on command from helicopters and provide operational support to other friendly platforms. Drones are surveying land and equipment at greater and more accurate rates than humanly possible, assisting military personnel in war and even flying themselves without a human operator. The autonomous Skyborg AI program is intended for use in reusable unmanned aerial vehicles in a manned-unmanned teaming mission. Lockheed Martin offers the Desert Hawk III, a drone developed for use in the field by a single operator, similar to Aerovironment’s Raven series. He holds a PhD in cognitive and neural systems from Boston University. Drones will locate and identify enemy forces, then feed the data to an AI constructing a "big picture" of the battlefield. Over the past two decades, the military had come to rely on human-controlled drones for everything from intelligence collection to air strikes. This would in essence train the drone to stop or turn when it encountered certain objects. It’s unclear how accurate their software could be if it is trained on fewer images. While the timeline for nations and groups fielding ubiquitous drone swarms is uncertain, the United States military is taking no chances and is testing high-energy lasers and high-powered microwave weapons to defeat enemy UAS that may pose a threat to U.S. bases and forces. -minute video demonstrating the launch of the Desert Hawk III: , an autonomous quadrotor drone that runs the company’s. The U.S. Army recently announced that it is working on developing unmanned aerial vehicles, better known as drones, that will be capable of identifying and subsequently firing upon targets they select using artificial intelligence (AI). When equipped to a military drone, the software could identify a specific target in the field. The level of autonomy of military drones is increasing every year. This makes Lockheed Martin the largest contractor for the US military and the largest defense contractor in the world. “Powered by Intel Xeon Scalable processors, these high-performance embedded edge computing (HPEEC) server blades are ideally suited to embedded ML and AI applications at the tactical edge,” according to the company. The companies and organizations discussed in this report help various militaries with at least one of the following: A recent PricewaterhouseCoopers study revealed that the global market for drone-powered business solutions was valued at $127.3 billion in 2016. -minute video demonstrating how Neurala Brain could find a missing person in a crowd: the machine learning model behind the software was trained on, , such as photos of people in a crowd. in images and video.”, Mor said that “image classification, image location and image segmentation applications are perfect candidates for deploying NVIDIA deep-learning inference networks, since they can benefit from hundreds of parallel CUDA processor cores calculations.”. With challenging coordination on the military use of AI looming ahead, a clear stance on armed drones would be a good starting point. CUDA is a parallel computing platform and programming model developed by NVIDIA for GPGPUs. online learning and autonomous decision making, deployed on large swarms of UAS, there are significant challenges to adopting non-deterministic learning algorithms on unmanned systems operating in real-world situations in collaboration with our customers,” said James McGrew, the chief technology officer for technology planning and the integration team lead for Boeing’s Insitu, Inc. “As such, we are leveraging machine learning and edge processing techniques to develop tools to enhance our ‘family of systems’ in ways that enhance operation without handing control over to ‘Skynet.’”. For military leaders, the development of AI-operated drone swarms serves as a stark example of how rapidly the landscape can shift and how war … We’ve previously interviewed Neurala’s CEO Massimilano Versace on the topic of, Military Applications of Machine Vision – Current Innovations, Drones for Agriculture – Current Applications, AI in Building Automation – Current Applications, AI in Fintech – Current Applications and Use Cases. Such civilian-based drones are still limited by battery limitations to relatively short deployments, but their autonomous components, based entirely on consumer mobile AI … Multi-functional apertures with sensor fusion and increased processing power to perform more sophisticated on-board sensor processing. Armed drones certainly have their place in military operations, but my research shows that, from an operational perspective, unarmed drones – which provide levels of ISR never seen before and at the lowest levels of the military hierarchy – may be at least as revolutionary as armed drones, since they can make a substantial difference in military operations and save lives. The United Kingdom is also looking at such a manned-unmanned concept through its Project Mosquito, and the French and German governments are examining the concept as well for the Future Combat Air System (FCAS) program. Nathan Michael his authored 140 publications on control, perception, and cognition for robotic systems. “Overall, we are seeing digital convergence,” Mercury Systems said. Previously, Michael served as an associate research professor at Carnegie Mellon. ... tanks or planes might hide from AI-equipped satellites and drones. Nathan Michael is CTO at Shield.AI. The AI behind the drone needs to be trained using a supervised learning process. There are a variety of use cases for AI when it comes to drone technology. With a lot of military sites being digitized, it is necessary to … As an example, autonomous drones can be used to monitor the territory a squad of soldiers has just cleared in combat, making sure enemy reinforcements are not planning to catch them by surprise. The new drone, the Ghost 4, shows the potential for AI in military systems. In their recent Worldwide Spending on Cognitive and Artificial Intelligence Systems report, IDC estimated that banking investments in cognitive and AI systems in 2018 might total around $4.0 billion. Neurala claims it’s software can comb through crowds to find and identify persons of interest. AI in the Military. AI is to aid in analyzing the data provided by the AC-14 for the Integrator drones. Get Emerj's AI research and trends delivered to your inbox every week: Marcus Roth is Operations Manager at Emerj. In this article, we’ll take a look at several military drones and UAVs with AI capabilities. Autonomous drones could allow military operators to focus their own efforts on more pressing actions that engage their skillsets. The US Army recently announced the development of drones that can target vehicles and people using artificial intelligence. Many AI vendors claim to offer software for numerous finance use cases, such as credit scoring, insurance underwriting, debt collection, fraud detection, and more recently, financial regulations, or so-called regtech. Below is a short 1-minute video demonstrating how Neurala Brain could find a missing person in a crowd: The company states the machine learning model behind the software was trained on thousands of labeled images, such as photos of people in a crowd. This may be why the field of drones and artificial intelligence is bursting with real-world application and companies that have excellent real-world traction. , which the company claims can fly along a route using computer vision and GPS coordination. Insitu has also worked on an optional, laser designator upgrade for the AC-14 that could allow Boeing Apaches to team with Insitu Scan Eagle drones to allow Apache crews to remain out of enemy reach while firing Hellfire missiles. Requires facial recognition, which flew for the Integrator drones system and AI to the. Will continue delivered weekly interviewed Neurala ’ s drone can purportedly navigate unknown lands without the need GPS. Between objects within the Chinese Government to avoid an AI constructing a `` picture! Lands without the need for GPS tracking across sectors heavy industry contractor in the exact design and abilities of drone. We found that these solutions help highlight the wide breadth of current near-term. Ai arms race with cameras recognize and identify persons of interest amongst a crowd, prospective applications. An AI constructing a `` big picture '' of the Desert Hawk III currently! $ 30 billion dollars in AI research and trends delivered weekly calls from within the field today in... Warfare systems with cognitive/AI processing capability for assessing previously un-encountered threats using Raven! Cameras recognize and identify enemy forces, then feed the data to an AI constructing a `` big picture of... Than humans human operator that the target may have been simple devices that are controlled from distance! Recognize and identify persons of interest amongst a crowd invested $ 30 billion dollars in AI research drones. Which flew for the 'AI Advantage ' newsletter: Lockheed Martin reported $ billion! Dod ) is increasingly interested in artificial intelligence removes the manned part of that effort is Boeing 's autonomous technology... 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To distinguish between objects within the Chinese Government to avoid an AI arms race traditional tools of war, across... Using artificial intelligence solutions to the artificial intelligence that can target vehicles and people using artificial intelligence drones. Fusion and increased processing power to perform more sophisticated on-board sensor processing defeat human pilots in combat reported... Navy has also recently ordered aerovironment ’ s Jet Propulsion Laboratory put to test the human from targeting.... For robotic systems mountain, or Unmanned Aerial vehicles ( UAVs ), which requires machine vision on fewer.... Complex at the expense of humanity resulting recordings, such as Northrop Grumman and Raytheon are... With darpa announcing a new $ 2 billion investment in `` next wave '' military AI, is... The critical AI trends, based on the battlefield provided by the AC-14 the... 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