Thank you for a very interesting exchange, TOYOTA GAZOO Racing Europe! 🏎️ 🏁 Our #AI #experts in aerospace and safety welcomed #racing #experts for a very interesting discussion on the potential of artificial intelligence. ❇️ We were fascinated to learn about the possibilities of AI in the 24 Hours of Le Mans race, where engineers checking incoming data from the race car will be assisted by AI to detect anomalies. For our part, researchers from the DLR Institute of Software Technology and the DLR Institut für KI-Sicherheit gave an overview of how anomaly detection is methodologically used for research at Deutsches Zentrum für Luft-und Raumfahrt e.V. in the areas of rocket development and climate change monitoring. Two specific projects provide an insight into our work with AI-based anomaly detection: 🚀 As part of the #ATHEAt project, our institute analyses ground and flight test data of #rockets. The aim is to detect anomalies in order to find and identify faults and problems at an early stage of development. For anomaly detection, we use both density-based algorithms and neural network architectures such as autoencoders or vision transformers. ➡️ https://lnkd.in/erDqWPx3 🌍 The #RESIKOAST project develops strategies for long-term adaptation to changing #climate #conditions in coastal areas of the North Sea and Baltic Sea. Extreme weather events pose an increasing threat to islands and coastal regions due to their intensity, frequency and the possible simultaneous occurrence of several events. Our institute develops and applies AI methods for #early #risk #detection by analysing large Earth observation data sets. ➡️ https://lnkd.in/e4zY9rsq The meeting was a great starting point to see the overlap between real-time anomaly detection in racing and anomaly detection in DLR applications. We hope to find out more in future exchanges! ✨
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What if robots could always find the fastest, obstacle-free path to their destination??? MIT has made it a reality! This new technology enables robots to autonomously select the quickest route while minimizing the chances of encountering impassable obstacles. Here’s how it can transform the field: Optimized Pathfinding: The algorithm excels in simulations, outperforming existing methods by identifying the best shortcuts, reducing overall travel time significantly. Versatile Applications: From Mars exploration to search and rescue missions, this innovation has the potential to enhance efficiency in diverse, critical operations. Proven Effectiveness: Validated through 100 simulated experiments using an aerial campus map, the algorithm has shown consistent reliability in navigation. As we look to the future, MIT aims to extend the algorithm's applicability to more complex challenges, bridging the gap between theoretical graphs and real-world environments. Lets Imagine a world where robots navigate with precision and speed, overcoming obstacles effortlessly. This is just the beginning. How do you envision this technology impacting your industry? Love you read your thoughts. Source: efygroup efy Massachusetts Institute of Technology #RoboticsInnovation #MITResearch #AI #Pathfinding #SearchAndRescue #MarsExploration #TechInnovation #FutureOfRobotics #warehouse
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Innovation is the future, and this machine known as M4 is poised to revolutionize the field of aerial and terrestrial technology. With its cutting-edge design and advanced features, the M4 represents a significant leap forward in aerial innovation. From enhanced maneuverability to unparalleled precision, the M4 promises to redefine the capabilities of drones. Its impact will extend beyond industry standards, paving the way for new possibilities and applications in various sectors. Embracing the M4 means embracing a future shaped by innovation.
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Robot that transforms to roll, crawl, jump, walk, or fly 🤖 Invented by a team of researchers from @Caltech, @Northeastern, and JPL, it's called M4. The Multi-Modal Mobility Morphobot, or M4 for short can make decisions for itself about how best to navigate through a complex environment, choosing what form of locomotion will be most effective based on the terrain ahead of it. It could be used to navigate unknown remote terrains and potentially revolutionize space exploration. #robotics #ai #engineering #innovation #technology
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6moThank you DLR Institute of Software Technology and DLR Institut für KI-Sicherheit for the valuable discussion. I believe local cooperation's and knowledge exchange like this are important to strengthen the #AI research and development. I am looking forward to many future discussions ✨🏎✨ 🚀✨