KP Labs’ Post

The future of space and AI awaits !   Join us at the Clean Space Industry Days, organized by ESA/ESTEC,  where Magics Technologies will be presenting our groundbreaking innovation in the field of space and AI technology.   In our presentation, we'll talk about our radiation-hardened AI processor, the MAG-AIA00101-SC, designed to revolutionize onboard computer vision workloads for space missions. With a remarkable computational performance of 10 TMACs/s and an incredibly low peak power consumption of just 1 W, our processor is tailored for small satellites with passive cooling requirements. Read more here https://lnkd.in/enC_BiY2   Join us at the event to learn more about how Magics Technologies is shaping the future of space technology with our fault-tolerant AI processor.  Discover how we're contributing to safer and more sustainable space missions, and don't hesitate to get in touch to explore this transformative technology further. Email us at sales@magics.tech #Space #AI #SpaceInnovation #Magics #ESA

Excited to share a new blog post! 🚀 "FedSN: A General Federated Learning Framework over LEO Satellite Networks" discusses the challenges of training machine learning models on Low Earth Orbit (LEO) satellites and proposes a solution - FedSN. 🛰️ With LEO satellites equipped with sensors, they are not only used for communication but also for various ML applications like space modulation recognition and remote sensing image classification. However, limited contact time with the ground station makes it difficult to download the large raw data volume for centralized training. In this blog post, we introduce FedSN, a general FL framework that addresses these challenges by enabling on-device training and fully exploring data diversity on LEO satellites. We present a novel sub-structure scheme for training models considering the satellites' computing, memory, and communication constraints. Additionally, we propose a pseudo-synchronous model aggregation strategy to compensate for model staleness. To validate the effectiveness of FedSN, we evaluate it using real-world satellite networks for space modulation recognition and remote sensing image classification tasks. The results show higher accuracy, lower computing and communication overhead compared to state-of-the-art benchmarks. Read the full blog post here: [link to the blog post](https://bit.ly/3u7Wawm). 📖 #socialmediamarketing #machinelearning #satellitenetworks #FederatedLearning #FedSN Remember to remove the hashtags when posting on LinkedIn.

Looking for companies interested in solving these problem: Space Launch Detection: Using unclassified novel data, fusion, and analytic techniques (seismic, ionospheric, infrasonic, GPS telemetry, RF, neutrino, other), detect space launches within seconds. Upon detection of a launch, predict the ascent trajectory, intermediate and final orbits. Provide these predictions to an SDA sensor as a “cue” to reacquire and track the launch vehicle within seconds-to-minutes. Investment in this technology is warranted as no launch detection or early “cueing” capability exists for the commercial SDA enterprise. Such a capability would enable rapid target acquisition, ID, and threat assessment of launches. Object Identification (ID): From a set of features (orbital data, photometry, radar cross section, RF emissions, other), classify and ID space objects within seconds. Evaluate potentially mis-identified objects which may be adversary intelligence payloads or weapons. Nominate these for further investigation. Attempts to evade detection, tracking, and ID complicate defense from an attack. Examples may include covert operations or payloads, active satellites appearing dead, inactive, as debris, or otherwise plausibly deniable operations. Investment in this technology is warranted as camouflage, concealment, and deception are fundamental to warfare. Such a capability would aid hostility assessments, response options, and prevent operational surprise. #sda #space #protectanddefend #ussf #launch #tracking #data #analysis #datascience #ai #ml

🚀🌟 Exciting Milestone Achieved: ADI-Beta Payload Integrated for Feb 2024 Launch! 🛰️ We at ResearchSat are thrilled to announce the successful integration of our ADI-beta payload into the Swedish Space Corporation (SSC) rocket. As we count down to our February 2024 launch, let's peek into the fascinating payloads onboard: 1. ANT-61 Novel AI Systems: This groundbreaking technology empowers robots to operate autonomously in unpredictable space environments - a giant leap in extraterrestrial exploration. 2. Biological Experiments with Cambrian Executive: In a pioneering move, we'll be testing biological samples like Baker's Yeast, and Microbiomes in microgravity. This research could unlock new insights into life sciences, enhancing our understanding of life in space. These’re harbingers of a new era in space research, demonstrating our commitment to innovation and exploration. #ResearchSat #SpaceInnovation #SSCLaunch2024 #MicrogravityResearch

🚀🌟 Exciting Milestone Achieved: ADI-Beta Payload Integrated for Feb 2024 Launch! 🛰️ We at ResearchSat are thrilled to announce the successful integration of our ADI-beta payload into the Swedish Space Corporation (SSC) rocket. As we count down to our February 2024 launch, let's peek into the fascinating payloads onboard: 1. ANT-61 Novel AI Systems: This groundbreaking technology empowers robots to operate autonomously in unpredictable space environments - a giant leap in extraterrestrial exploration. 2. Biological Experiments with Cambrian Executive: In a pioneering move, we'll be testing biological samples like Baker's Yeast, and Microbiomes in microgravity. This research could unlock new insights into life sciences, enhancing our understanding of life in space. These are harbingers of a new era in space research, demonstrating our commitment to innovation and exploration. #ResearchSat #SpaceInnovation #SSCLaunch2024 #MicrogravityResearch

[China’s STAR.VISION AI Satellite to Use Rwandan-Developed Technology] Rwanda Space Agency (RSA) and STAR.VISION Aerospace Limited (STAR.VISION) are thrilled to announce the successful completion of the Algorithm Rideshare Programme aboard satellite WJ-1A. This accomplishment marks a significant space technology and artificial intelligence (AI) step forward. On 14 March 2023, RSA and STAR.VISION signed a memorandum of understanding (MoU) to advance the frontiers of space technology with the help of young Rwandans. The collaboration focused on developing and deploying AI algorithms to assess land use and generate statistics automatically. A team of six talented students from Rwandan universities, including the University of Rwanda, Carnegie Mellon University Africa, and the African Institute for Mathematical Sciences, collaborated under the mentorship of RSA engineers to bring this project to life.  These cutting-edge algorithms enable the satellite WJ-1A to independently process images, eliminating the need for data downloads and facilitating real-time land usage assessment. This technological achievement underscores Rwanda’s dedication to advancing AI and machine learning as both parties take bold steps toward integrating these innovations into space-related activities. #ghanatospace2030 #galaxyaerosgh #spaceexploration #SpaceNews #space

Australian scientists are making significant strides in the rapid detection of bushfires, leveraging cube satellites equipped with onboard artificial intelligence to enhance detection speeds by up to 500 times compared to traditional ground-based imagery processing. Remote sensing and computer science researchers have successfully tackled the challenges associated with processing and compressing vast quantities of hyperspectral imagery on board smaller, more economical cube satellites. This advancement not only saves critical time but also conserves energy. https://lnkd.in/djQYMNU6

[China’s STAR.VISION AI Satellite to Use Rwandan-Developed Technology] Rwanda Space Agency (RSA) and STAR.VISION Aerospace Limited (STAR.VISION) are thrilled to announce the successful completion of the Algorithm Rideshare Programme aboard satellite WJ-1A. This accomplishment marks a significant space technology and artificial intelligence (AI) step forward. On 14 March 2023, RSA and STAR.VISION signed a memorandum of understanding (MoU) to advance the frontiers of space technology with the help of young Rwandans. The collaboration focused on developing and deploying AI algorithms to assess land use and generate statistics automatically. A team of six talented students from Rwandan universities, including the University of Rwanda, Carnegie Mellon University Africa, and the African Institute for Mathematical Sciences, collaborated under the mentorship of RSA engineers to bring this project to life.  These cutting-edge algorithms enable the satellite WJ-1A to independently process images, eliminating the need for data downloads and facilitating real-time land usage assessment. This technological achievement underscores Rwanda’s dedication to advancing AI and machine learning as both parties take bold steps toward integrating these innovations into space-related activities. #ghanatospace2030 #galaxyaerosgh #spaceexploration #SpaceNews #space

🌐 With the Novel IT method we aim to establish, upgrade and develop a basic cloud infrastructure for EvoLand. ☁ To do so, we will rely on public clouds such as WEkEO and CDSE. Key upgrades foreseen by this method include automated process orchestration, scaling data processing for global ML features, and integrating novel EO data. 🖥 Read more about this method 👉 https://lnkd.in/dmFs2SeB European Health and Digital Executive Agency (HaDEA) Evenflow VITO Remote Sensing GAF AG CLS Group (Collecte Localisation Satellites) CESBIO German Aerospace Center (DLR) Sinergise International Institute for Applied Systems Analysis (IIASA) JOANNEUM RESEARCH Centre National d'Études Spatiales 

Welcome to the latest in the On This Day series, from Laurence Simons. On 10th July 1962, Telstar 1, the first active communications satellite, was launched into space, revolutionising global communications. Telstar 1 enabled the first live transatlantic television broadcasts, telephone calls, and fax transmissions, shrinking the world and paving the way for the advanced communication networks we rely on today. Fast forward to the present, and the legacy of Telstar 1 is evident in the AI revolution. The satellite's pioneering role in global connectivity laid the foundation for the massive data exchange and real-time communication that power today's AI technologies. From cloud computing to real-time data analytics, the advancements we enjoy in AI are deeply rooted in the global communication infrastructure that Telstar 1 helped establish. Telstar 1's success showcased the potential of satellite technology and set the stage for future innovations. Today, AI continues to build on this legacy, driving unprecedented advancements and transforming industries across the globe. #Telstar1 #SatelliteTechnology #AIRevolution #Innovation #GlobalCommunications #NASA