{"id":65426,"date":"2018-04-24T01:00:03","date_gmt":"2018-04-23T17:00:03","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/ai-heads-to-space-with-a-constellation-of-use-cases\/"},"modified":"2018-04-24T01:00:03","modified_gmt":"2018-04-23T17:00:03","slug":"ai-heads-to-space-with-a-constellation-of-use-cases","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/ai-heads-to-space-with-a-constellation-of-use-cases\/","title":{"rendered":"AI Heads to Space with a Constellation of Use Cases"},"content":{"rendered":"<p>Artificial Intelligence (AI) is one of the latest buzz terms for the satellite industry, and it\u2019s clear that it could have a dramatic role when it comes to many aspects of the ecosystem, including system manufacturing, in-orbit management and delivering value to applications. Although it\u2019s still early days for AI, and there are challenges and gating factors to be hurdled before the technology sees mainstream deployment, its potential in space is rapidly developing.<\/p>\n<p>The pop culture view on AI tends to revolve around the twin tropes of the evil digital overlord (HAL, SkyNet in \u201cThe Terminator,\u201d \u201cThe Matrix,\u201d et al), and friendly digital assistant-style interactive helpers (Siri, Alexa, \u201cHer\u201d). The reality is that in industrial use cases, AI initially has applicability not in replacing higher-value human activity (let alone bringing sentience to bear), but rather in supplementing it. In other words, it can swoop in and take over what can best be described as the busywork of the industry. This is nowhere more evident than in the satellite manufacturing space.<\/p>\n<p>\t\t\t\t<img loading=\"lazy\" width=\"300\" height=\"225\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/ZkNEGscQZOKddw0Tbggs_01_VS_050118_Cover_DGTL-1-300x225.jpg\" class=\"attachment-medium size-medium\" alt=\"\" style=\"width: 120px; height: auto;\" decoding=\"async\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/ZkNEGscQZOKddw0Tbggs_01_VS_050118_Cover_DGTL-1-300x225.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/ZkNEGscQZOKddw0Tbggs_01_VS_050118_Cover_DGTL-1-800x599.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/ZkNEGscQZOKddw0Tbggs_01_VS_050118_Cover_DGTL-1-640x480.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/ZkNEGscQZOKddw0Tbggs_01_VS_050118_Cover_DGTL-1.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\">\t\t\t<\/p>\n<h3 class=\"fs-5 mt-0\">Explore the May 2018 Issue<\/h3>\n<p class=\"mb-0 fs-smaller text-balance\">Check out more from this issue and find your next story to read.<\/p>\n<p>\t\t\t<button class=\"btn btn-primary\" type=\"button\" data-bs-toggle=\"offcanvas\" data-bs-target=\"#offcanvasMENU\" aria-controls=\"offcanvasExample\" aria-label=\"button\" style=\"white-space: nowrap;\"><br \/>\n\t\t\t\tView More <i class=\"bi bi-arrow-right-circle\"><\/i><br \/>\n\t\t\t<\/button><\/p>\n<p>\u201cWe are trying to use human intelligence effectively and that\u2019s difficult enough \u2014 but AI digitalization could be used to support our engineers and other people in the organization to do that in better ways,\u201d says Andreas Lindenthal, Chief Operating Officer (COO) at satellite manufacturer OHB Systems.<\/p>\n<p>For example, there are hundreds of thousands of electronic piece-parts that are used for building various larger systems within satellites. In the manufacturing supply chain, thousands of parts are required every day, and they all need to be de-stored from their controlled holding environment, checked to see if they\u2019re fit for purpose, delivered to the floor and then tested to see if they\u2019re performing as expected within the manufacturing process. That\u2019s a labor-intensive and complex process for humans to manage \u2014 but an AI could automate the visual checks and inventory management to enable an optimized approach, at scale, in a fraction of the time it would take a human team.<\/p>\n<p>Similarly, AI could be particularly useful for maintaining data consistency in the engineering process. Manufacturers manage hundreds of documents that describe a satellite\u2019s design, and how that design is verified and validated.<\/p>\n<p><script>var AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d7dc8;googletag.cmd.push(function(){var AIMAP_29b58f13885ebf8ea6b032f958eb0748 = googletag.sizeMapping().addSize([992, 100], [[970, 90], [970, 250]]).addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_737ce075cc05dd766c8f8ea08f3faa73 = googletag.sizeMapping().addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_21fe3bcfb86a8660aba4e721ee9338f3 = googletag.sizeMapping().addSize([1200, 100], [970, 250]).addSize([768, 100], [600, 300]).addSize([320, 100], [300, 250]).build();AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d7dc8 = googletag.defineSlot('\/987\/satellitetoday.com\/via-satellite-digital-issue-ads', [ [600, 300], [300, 250], [970, 250] ], 'div-gpt-ad-1774631144891- 0-6a67bdb0d7dc9').defineSizeMapping(AIMAP_21fe3bcfb86a8660aba4e721ee9338f3).setCollapseEmptyDiv(true).addService(googletag.pubads());   });<\/script><script>googletag.cmd.push(function() { googletag.display('div-gpt-ad-1774631144891- 0-6a67bdb0d7dc9'); });<\/script><\/p>\n<p>\u201cWe are tasked with maintaining consistency in terminology and approach across the various documentation pieces detailing the process and procedures to build a satellite,\u201d explains Lindenthal. \u201cWe must make sure that everything is correct and consistent throughout the documents, as well as ensure that the data used for verifying the performance of the hardware is standardized. AI could easily replace the human effort in managing and monitoring for that kind of consistency and data.\u201d<\/p>\n<p>There are yet other use cases for the factory floor; for example, AI could examine image captures of live processes \u2014 say, the creation of circuit boards \u2014 to determine whether a box has a defect or anomaly.<\/p>\n<p>\u201cIn our business, visual inspection is very important,\u201d notes Jean-Philippe Jahier, deployment director for innovation and new technologies at Thales Alenia Space. \u201cWhen you want to check your work, you look at it and compare what you see with what you expect, to determine any physical defects on material. If you can use images of manufactured parts to automate that, it\u2019s potentially a large source of optimization.\u201d<\/p>\n<p>AI could also observe the manufacturing equipment itself, via video feeds or telemetry data, to determine whether a machine is functioning as it should and to perform predictive maintenance by anticipating when performance thresholds are being reached. It then becomes possible to replace any faulty equipment before failures occur.<\/p>\n<p>It\u2019s important to note that AI may represent enormous possibilities for process improvement, but its deployment is not without challenges. One of the main issues on the manufacturing front is the intense amount of customization that\u2019s required. No two satellites are identical, despite attempts to standardize products and systems.<\/p>\n<p>In practice, this means that developing the manufacturing and verification process for a specific satellite tends to be a tailored affair requiring plenty of interaction with engineers. AI thrives on repeatable processes, not only to automate them, but also to learn to identify anomalies, which it typically does by allowing (and learning from) a certain amount of failures. However, this in turn introduces risk into supply-chain proceedings.<\/p>\n<p>\u201cIt\u2019s quite easy to inspect clones of the same object, but you need more maturity in the algorithms to catch flaws in a variant object,\u201d says Jahier. \u201cSatellites all have different wiring or terminals with variables in size, shape, color or the number of wires. Better and smarter AI is required to detect defects in this scenario directly from images.\u201d<\/p>\n<p>Naturally, automation and the speed at which machines can perform their tasks are the main benefits that AI can provide in many scenarios, along with the fact that it never gets tired, bored or angry about work-life balance. That means that AI can also help improve time to market by working tirelessly round-the-clock.<\/p>\n<p>A prominent example of this is the development of fully automated test environments. At OHB for instance, customers expect 100 percent verification of all the possible operational modes that could occur in orbit. That\u2019s a process that requires tens of thousands of payload and environmental tests. AI could perform the tests more quickly, and could also learn to sequence them for more efficient, full optimization of the entire test gamut.<\/p>\n<p><script>var AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d8298;googletag.cmd.push(function(){var AIMAP_29b58f13885ebf8ea6b032f958eb0748 = googletag.sizeMapping().addSize([992, 100], [[970, 90], [970, 250]]).addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_737ce075cc05dd766c8f8ea08f3faa73 = googletag.sizeMapping().addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_21fe3bcfb86a8660aba4e721ee9338f3 = googletag.sizeMapping().addSize([1200, 100], [970, 250]).addSize([768, 100], [600, 300]).addSize([320, 100], [300, 250]).build();AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d8298 = googletag.defineSlot('\/987\/satellitetoday.com\/via-satellite-digital-issue-ads', [ [600, 300], [300, 250], [970, 250] ], 'div-gpt-ad-1774631144891- 0-6a67bdb0d8299').defineSizeMapping(AIMAP_21fe3bcfb86a8660aba4e721ee9338f3).setCollapseEmptyDiv(true).addService(googletag.pubads());   });<\/script><script>googletag.cmd.push(function() { googletag.display('div-gpt-ad-1774631144891- 0-6a67bdb0d8299'); });<\/script><\/p>\n<p>\u201cThe systems that we have in place run for several days and nights, just switching from one mode to the next to check if the deliverables perform as expected,\u201d says Lindenthal. \u201cOnce one mode is verified, we switch to the next one. AI could be crucial for optimizing and reducing the time of each of the test phases, perhaps by as much as 50 percent.\u201d<\/p>\n<p>AI could also improve time to market in the design phase by acting as a kind of peer review that monitors performance indicators and best practices.<\/p>\n<p>\u201cImagine a system with the capability to analyze the output of the designer and check for inconsistencies,\u201d explains Jahier. \u201cLarge teams of designers are always exchanging emails. AI could monitor this and raise concerns if an issue stays unsolved for too long a time; it could then raise the attention of management. It\u2019s a hypothetical, but a good example of a design oversight use case.\u201d<\/p>\n<p>Manufacturing isn\u2019t the only sector of the space industry where AI could overhaul legacy processes. AI also has a big role to play in upstream in-orbit apps, including service maintenance, refueling and repairs.<\/p>\n<p>\u201cThe general approach now is to send a satellite up there to do the manipulations required for these kinds of tasks, but they\u2019re controlled from Earth by humans,\u201d says Shagun Sachdeva, analyst at Northern Sky Research (NSR). \u201cAI could automate that process and manipulate the robotics within the context of anything else that\u2019s happening, such as dealing with space junk, without a human overseeing making that happen.\u201d<\/p>\n<p>One example of this working in practice comes from SES, whose fleet of 70 satellites each generates continuous health and status data. The operator is working with IBM Watson to use a real-time streaming AI to look at that data lake and increase reaction time to correct and normalize satellite operations when fluctuations in the telemetry occur.<\/p>\n<p>\u201cThe traditional approach is very manpower-intensive and makes it difficult to correlate telemetry with other trends or events, such as a solar storm or space debris,\u201d says Ruy Pinto, Chief Information Officer (CIO) at SES. \u201cWe are an industry that\u2019s growing and being disrupted by new technologies and new entrants, and it\u2019s vital for the larger satellite operators to look for ways of reacting quickly to customer demands, and to look for safer and more efficient ways to operate our fleets. Everyone is looking at ways to improve autonomy and doing a better job of serving customers.\u201d<\/p>\n<p>Earth Observation (EO) is a classic \u2014 if not the most classic \u2014 use of satellite deployments; the images generated from above can be used for any range of use cases, from understanding the effects of natural disasters to carrying out espionage efforts. AI however opens up a new chapter in EO by lending scale, automated image tagging and sorting, and map correlations \u2014 which, taken together, can be used for entirely new applications, such as understanding the economic state of a third-world nation.<\/p>\n<p>Radiant Solutions, the analytics arm of satellite manufacturer Maxar Technologies, recently signed a contract with the U.S. National Geospatial-Intelligence Agency (NGA) to provide more than 1 million labeled objects within high-resolution satellite images that will be used to accelerate the development of machine learning algorithms that can extract valuable information from imagery at scale. Ultimately, that information will be used to support national security and humanitarian missions. By training algorithms to automatically identify dozens of objects across 60 object classifications \u2014 such as damaged buildings, construction equipment and tents \u2014 it becomes possible to create maps and correlations that can be used to gain insights into pressing global challenges, such as stopping the spread of disease and improving infrastructure in the developing world.<\/p>\n<p><script>var AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d86b8;googletag.cmd.push(function(){var AIMAP_29b58f13885ebf8ea6b032f958eb0748 = googletag.sizeMapping().addSize([992, 100], [[970, 90], [970, 250]]).addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_737ce075cc05dd766c8f8ea08f3faa73 = googletag.sizeMapping().addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_21fe3bcfb86a8660aba4e721ee9338f3 = googletag.sizeMapping().addSize([1200, 100], [970, 250]).addSize([768, 100], [600, 300]).addSize([320, 100], [300, 250]).build();AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d86b8 = googletag.defineSlot('\/987\/satellitetoday.com\/via-satellite-digital-issue-ads', [ [600, 300], [300, 250], [970, 250] ], 'div-gpt-ad-1774631144891- 0-6a67bdb0d86b9').defineSizeMapping(AIMAP_21fe3bcfb86a8660aba4e721ee9338f3).setCollapseEmptyDiv(true).addService(googletag.pubads());   });<\/script><script>googletag.cmd.push(function() { googletag.display('div-gpt-ad-1774631144891- 0-6a67bdb0d86b9'); });<\/script><\/p>\n<p>\u201cWe look at a current image, count everything, overlay with a base map, and add the new features to the map,\u201d says Adam Estrada, director of software development at Radiant. \u201cOur constellation revisits the same areas every day or so, and we\u2019re able to see spikes and dips in activity.\u201d<\/p>\n<p>AI makes it possible to do this at scale, quickly: The algorithms take 0.3 seconds to scan and tag objects in a one square kilometer area versus 25 minutes for a human.<\/p>\n<p>\u201cThe performance is 128 times faster than a person doing the same task, which means we have the ability to do things like rapid damage assessments,\u201d says Todd Bakestow, head of the SpaceNet program at Radiant and director of strategic alliances. \u201cThink about Western Africa with Ebola outbreak. This information could have been used to direct resources, estimate the population by counting buildings, and help workers know where passable roads are. When we think about imagery analytics, humans are pretty good at the accuracy piece already. Speed and scale is where the automation really helps. That is the true power of this.\u201d<\/p>\n<p>SpaceKnow is a startup with a similar mission. Its AI scans the world, tirelessly counting cars, trucks, roads, buildings, aircraft and other kind of objects, on a massive scale, for entire countries. Asset management companies then use that data to manage portfolios.<\/p>\n<p>\u201cWe can tell our hedge fund and large financial clients about activity at a specific company\u2019s mining site, factory or port \u2014 or give a comprehensive evaluation on the state of an entire economy,\u201d says Pavel Machalek, co-founder at SpaceKnow. \u201cFor instance, we measure the GDP of all the provinces in China on a weekly basis, by counting objects and classifying materials, and observing industrial production and other activity. We determined the Nigerian GDP uptick way before everyone else by looking at the manufacturing conditions across 6,000 factories. It\u2019s econometrics \u2014 a new approach.\u201d<\/p>\n<p>Eventually, AI will be able to count and identify every object, everywhere, every day. Machalek said that he can envision a live trigger warning system for the entire world, where AI will monitor everything in full autonomous mode and notify the humans when something interesting happens, such as a new building being constructed in the past week. This has applicability beyond high finance, of course.<\/p>\n<p>\u201cIt\u2019s an opportunity to reveal the full complexity and beauty of the Earth, all 7 billion people\u2019s environments at once,\u201d he said. \u201cWe will be able to offer better city planning, and better manage water, and natural and industrial resources, and save human lives.\u201d<\/p>\n<p>Vertical industries are eyeing AI with interest, particularly when it comes to emerging technologies. For instance, in the transportation sector, satellite information and capabilities can be combined with Internet of Things (IOT) sensor data to enable streamlined operations for shipping and airline activity.<\/p>\n<p>\u201cA lot of data is coming online and being focused on Machine-to-Machine (M2M) communications and IOT,\u201d says Dallas Kasaboski, analyst with NSR. \u201cPeople are digitizing anything they can. AI in transport applications is enabling trends to be extracted from a large and growing variety of data, to enable better business decisions.\u201d<\/p>\n<p><script>var AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d8ab2;googletag.cmd.push(function(){var AIMAP_29b58f13885ebf8ea6b032f958eb0748 = googletag.sizeMapping().addSize([992, 100], [[970, 90], [970, 250]]).addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_737ce075cc05dd766c8f8ea08f3faa73 = googletag.sizeMapping().addSize([768, 100], [728, 90]).addSize([320, 100], [320, 50]).build();var AIMAP_21fe3bcfb86a8660aba4e721ee9338f3 = googletag.sizeMapping().addSize([1200, 100], [970, 250]).addSize([768, 100], [600, 300]).addSize([320, 100], [300, 250]).build();AIAD_fcd45f981d570e35cee941b23edc69c7_6a67bdb0d8ab2 = googletag.defineSlot('\/987\/satellitetoday.com\/via-satellite-digital-issue-ads', [ [600, 300], [300, 250], [970, 250] ], 'div-gpt-ad-1774631144891- 0-6a67bdb0d8ab3').defineSizeMapping(AIMAP_21fe3bcfb86a8660aba4e721ee9338f3).setCollapseEmptyDiv(true).addService(googletag.pubads());   });<\/script><script>googletag.cmd.push(function() { googletag.display('div-gpt-ad-1774631144891- 0-6a67bdb0d8ab3'); });<\/script><\/p>\n<p>For instance, a merchant ship with hundreds of containers may have sensors installed on the engine and navigation systems, monitoring how much fuel is being consumed and helping to optimize navigation. There may also be sensors on the cargo (there are, for instance, new regulations calling for produce being shipped at a specific temperature).<\/p>\n<p>\u201cYou take that info, automate it and use AI to do predictive modeling,\u201d Kasboski notes. \u201cUsing satellite data, you can combine the telemetry with weather charts and forecasts, and port activity and more, to automatically determine the best path to conserve fuel or shorten the journey. The same thing is also happening in land transport, railways and so on.\u201d<\/p>\n<p>Datacomm operator SES meanwhile is designing its next-generation capacity systems to be autonomous, with a dynamic resource manager that will be capable of making decisions and adjusting coverage, capacity and spectrum as needed. This has great applicability to the transport sector.<\/p>\n<p>For instance, airline requirements for satellite coverage vary by time of day depending on how busy an airport or airspace is. The AI can look at the trends and traffic patterns of the data being exchanged with a plane, correlate that with Key Performance Indicators (KPIs) to determine if performance thresholds are close losing compliance with Service-Level Agreements (SLAs), and make a decision on how to alleviate the issue via smart caching, providing more capacity, traffic shaping and so on. In an IOT scenario, this dynamic adjustment \u2014 based on context, not just a set of rules and policy \u2014 can become invaluable.<\/p>\n<p>\u201cThis type of use case lends itself to the autonomous side. Not only can we provide dynamic resources as needed, but an AI can also learn from the traffic pattern how best to serve that location, based on priorities provided by a human team,\u201d explains Pinto<strong class=\"Annotation -strong\">.<\/strong> \u201cYou need an AI component in the central part of the network that knows how it can optimize the user experience.\u201d <\/p>\n<p>,<\/p>\n<h2 class=\"widget-title\">In This Issue<\/h2>\n<p>\t\t\t\t\t<!-- post id 407176:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img loading=\"lazy\" width=\"300\" height=\"180\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/TzXZDgbJQFaEZawXDknq_VS_050118_CyberSec-300x180.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/TzXZDgbJQFaEZawXDknq_VS_050118_CyberSec-300x180.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/TzXZDgbJQFaEZawXDknq_VS_050118_CyberSec-800x480.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/TzXZDgbJQFaEZawXDknq_VS_050118_CyberSec-640x384.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/TzXZDgbJQFaEZawXDknq_VS_050118_CyberSec.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tAI Elevates Cyber Threat to New Level<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n<hr class=\"my-3 d-block d-md-none\">\n\t\t\t\t\t\t<!-- post id 407170:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img width=\"300\" height=\"200\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/yZVMKLXTCGdYCvsgx0Py_Falcon_Heavy_Side_Boosters_landing_on_LZ1_and_LZ2_-_2018__25254688767_-300x200.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/yZVMKLXTCGdYCvsgx0Py_Falcon_Heavy_Side_Boosters_landing_on_LZ1_and_LZ2_-_2018__25254688767_-300x200.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/yZVMKLXTCGdYCvsgx0Py_Falcon_Heavy_Side_Boosters_landing_on_LZ1_and_LZ2_-_2018__25254688767_-800x533.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/yZVMKLXTCGdYCvsgx0Py_Falcon_Heavy_Side_Boosters_landing_on_LZ1_and_LZ2_-_2018__25254688767_-640x427.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/yZVMKLXTCGdYCvsgx0Py_Falcon_Heavy_Side_Boosters_landing_on_LZ1_and_LZ2_-_2018__25254688767_.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tCalculating the Economics of Reusable Launch Vehicles<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n<hr class=\"my-3\">\n<p>\t\t\t\t\t<!-- post id 407197:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img width=\"300\" height=\"246\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/qX7WKcTETTegc2jYEboA_Connected_Transport_050118-300x246.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/qX7WKcTETTegc2jYEboA_Connected_Transport_050118-300x246.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/qX7WKcTETTegc2jYEboA_Connected_Transport_050118-800x656.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/qX7WKcTETTegc2jYEboA_Connected_Transport_050118-640x525.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/qX7WKcTETTegc2jYEboA_Connected_Transport_050118.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tPostcard from a Cruise Ship: Behind the Scenes of a World Record Attempt<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n<hr class=\"my-3 d-block d-md-none\">\n\t\t\t\t\t\t<!-- post id 407203:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img width=\"300\" height=\"167\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/hkbIPAofRCma72ZoOcJq_EdNote_Header_Web-300x167.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/hkbIPAofRCma72ZoOcJq_EdNote_Header_Web-300x167.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/hkbIPAofRCma72ZoOcJq_EdNote_Header_Web-800x446.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/hkbIPAofRCma72ZoOcJq_EdNote_Header_Web-640x357.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/hkbIPAofRCma72ZoOcJq_EdNote_Header_Web.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tThe Dawn of Artificial Intelligence in Satellite<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n<hr class=\"my-3\">\n<p>\t\t\t\t\t<!-- post id 407181:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img width=\"300\" height=\"137\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/GlMQHqTUSaaNP682SJkf_Radar-300x137.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/GlMQHqTUSaaNP682SJkf_Radar-300x137.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/GlMQHqTUSaaNP682SJkf_Radar-800x366.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/GlMQHqTUSaaNP682SJkf_Radar-640x293.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/GlMQHqTUSaaNP682SJkf_Radar.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tThe Future of Milsatcom Rests on Interoperability<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n<hr class=\"my-3 d-block d-md-none\">\n\t\t\t\t\t\t<!-- post id 407189:  \/code\/wp-content\/themes\/ai-beehive\/template-parts\/content\/post-snippet.php --><\/p>\n<figure class=\"overflow-hidden w-100 me-3\">\n<p>\t<img width=\"300\" height=\"225\" src=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/jyO0jINQOqfaJ3HnH8pI_DYFrpUTWsAAEhP7-300x225.jpg\" class=\"img-responsive wp-post-image\" alt=\"\" style=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/jyO0jINQOqfaJ3HnH8pI_DYFrpUTWsAAEhP7-300x225.jpg 300w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/jyO0jINQOqfaJ3HnH8pI_DYFrpUTWsAAEhP7-800x600.jpg 800w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/jyO0jINQOqfaJ3HnH8pI_DYFrpUTWsAAEhP7-640x480.jpg 640w, https:\/\/www.satellitetoday.com\/wp-content\/uploads\/2026\/04\/jyO0jINQOqfaJ3HnH8pI_DYFrpUTWsAAEhP7.jpg 1280w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\">\t\t\t\t\t<\/figure>\n<h3 class=\"fs-4 w-100 line-clamp-3\">\n<p>\t\t\t\tTop 10 Things NSR Learned at SATELLITE 2018<br \/>\n\t\t<\/h3>\n<p><!-- .post-snippet --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence (AI) is one of the latest buzz terms for the satellite industry, and it\u2019s clear that it could have a dramatic role when it comes to many aspects of the ecosystem, including system manufacturing, in-orbit management and delivering value to applications. Although it\u2019s still early days for AI, and there are challenges and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":65427,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[],"class_list":["post-65426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/65426"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=65426"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/65426\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media\/65427"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=65426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=65426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=65426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}