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Swiss-based tech company Daedalean AI has announced Bas Gouverneur as its new Chief Executive Officer (CEO). Gouverneur joins Daedalean after a successful four-year tenure as Chief Technology Officer at RUAG, a Swiss aviation technology leader, where he focused on strategic technological innovations. Gouverneur takes over from Dr. Luuk van Dijk, Founder of Daedalean, who will continue as Executive Chairman of the Board and head the company’s regulatory relationships with the Federal Aviation Administration and EASA - European Union Aviation Safety Agency. Dr. van Dijk will also focus on important technical projects within the company. The transition phase will last six months, with Gouverneur officially assuming the CEO role in October 2024. “Daedalean has shown extraordinary capabilities in developing innovative software and hardware solutions. I’m thrilled to drive its strategy to penetrate the many market sectors where its technology will make a revolutionary difference in improving safety and efficiency,” said Gouverneur. Dr. van Dijk expressed confidence in Gouverneur’s leadership, stating, “I am happy to hand over the leadership to someone with such deep and extensive aerospace experience. I will continue to lead our certification efforts and look ahead to the next innovations that will move the company toward the ultimate goal of fully autonomous flight.” Founded in 2016, Daedalean aims to create an AI system that can outperform human pilots in all functions. The company is currently preparing to launch its first AI-based pilot assistance product, expected to be the world’s first certified safety-critical application for civil aviation. Additionally, Daedalean has welcomed Dr. Joschka Hoefling as its new VP of Product. Dr. Hoefling, formerly Chief Product Officer at Swiss UAV developer UMS SKELDAR, will align the company’s product strategy with market needs and ensure a strong product-market fit. “The board and investors extend their deep gratitude to Luuk for his tireless efforts in growing the company. We are optimistic that our innovations will meet with market success under the new CEO,” said Emmanuel Mogenet, Board Member. Read the full article on our blog. #AvfoilNews #Daedalean #AI #Aviation #Leadership #Innovation #Safety #Technology #AutonomousFlight #AviationTechnology #MarketStrategy #ProductLaunch

MIT’s AI Copilot Improves Human Pilot Performance Researchers say their artificial intelligence-driven copilot, which they call a “guardian,” will monitor a human aviator's performance and intervene at even minor flight deviations. #flights #ai #pilots #mit #engineering #science #aviation #artificialintelligence #aerospace Read More Below. https://lnkd.in/edwmvrae

Featured in this issue: 🧑🏽✈️ XQ-58A 'Valkyrie' drone successfully flown by AI pilot 🫧 Every start-up is an AI company now. Bubble fears are growing. 😷 AI May Be Able to Warn Us Before The Next Pandemic Strikes 👷🏽 Jobs that will thrive with AI Read more: https://lnkd.in/gSqZzDDC

🤖 AI Meets Aerospace: The Dawn of Intelligent Skies 🚀 📌 Introduction As someone deeply involved in both Aerospace Engineering and Artificial Intelligence, I find the intersection of these two fields to be a fascinating frontier. The year 2023 is already showing signs of how AI can revolutionize aerospace, from design to operations. Before we dive into this compelling subject, I'd like to ask: How do you envision AI impacting aerospace in the near future? Feel free to share your thoughts below. 🤔 🛰️ AI in Satellite Operations The role of AI in satellite operations is becoming increasingly significant. From predictive maintenance to real-time data analysis, AI algorithms are enhancing the efficiency and reliability of satellites. Imagine a scenario where AI-driven systems autonomously adjust satellite orbits to avoid collisions and optimize data collection. This level of automation not only increases operational efficiency but also extends the lifespan of satellites1. Intriguing, isn't it? 🌌 🌐 AI-Enhanced Air Traffic Control Air traffic control is another area where AI is making significant strides. By analyzing vast amounts of data in real-time, AI systems can predict flight delays, optimize flight paths, and even assist in emergency situations. This results in safer skies and more efficient operations, ultimately benefiting both airlines and passengers2. Would you feel more at ease knowing AI is assisting air traffic controllers? ✈️ 🛫 Autonomous Aircraft While fully autonomous commercial flights may still be a few years away, AI is already playing a crucial role in the development of autonomous drones and other unmanned aerial vehicles (UAVs). These AI-driven machines have applications ranging from surveillance to disaster relief, and their capabilities are expanding rapidly3. How would you feel about boarding an AI-piloted aircraft? 🤖 📣 Conclusion and Call to Action The integration of AI into aerospace is not just an incremental improvement; it's a paradigm shift. As we move further into 2023 and beyond, the synergies between AI and aerospace will continue to unfold, offering unprecedented opportunities for innovation and efficiency. If you found this article insightful, please consider following me for more updates and feel free to connect for a deeper discussion on these topics. 🤝

✨Highlights for this #Hot Article 1.  Zero-Shot UAV Scene Descriptions. 2. Cost-Efficient Microdrone Implementation. 3. LLM and VLM Enhanced Semantic Understanding.    👨🏫 by  J. de Curtò, I. de Zarzà and Carlos T. Calafate 🗞️ Semantic #Scene Understanding with Large #Language #Models on #Unmanned Aerial Vehicles 👉 https://lnkd.in/dr8zYvxA

Enhancing Aviation Safety: MIT's Air-Guardian AI Copilot #Aerospace #AI #AirGuardiansystem #artificialintelligence #attentionmarkers #aviationtechnology #humanmachineinterface #llm #machinelearning #MIT #NeuralNetworks #proactivecopilotassistance #saferskies

Time On Target Solutions was founded on the core belief and understanding articulated by Mike Ross in this post. This is why we are committed to showing up for our customers every day bringing with us a mission-focused, Don't Quit mindset. In partnering with our customers we help them work through and understand the difficult questions posed by technical progress: 1) How can our business increase safety, and at the same time increase efficiency? 2) How can our business reduce environmental impact and at the same time reduce cost? 3) How can uncrewed technology be applied in my industry? 4) What competitive advantage can our organization develop by utilizing drones and sensors? Please reach out to understand if we can help your business or organization leverage the most transformative aviation advancements in the last century. https://lnkd.in/dMBVhgmZ #safety #uncrewed #UMMAC #agtech #agtechinnovation #dronesforgood #drone #dronetechnology

#Safety in #aviation is a priority like no other. The following Honeywell article discusses 5 technologies that help make #flight a safer experience for everyone: #AI https://lnkd.in/gvhXmx3w

The paper provides a comprehensive review of integrating Large Language Models (#LLMs) with Unmanned Aerial Vehicles (#UAVs) to enhance their capabilities and applications. Key points: 1. LLMs like BERT, GPT, T5, XLNet, ERNIE, and BART can significantly improve UAV performance in various tasks such as command interpretation, situation awareness, and decision-making. 2. LLM integration enables UAVs to process and analyze large amounts of data in real-time, enhancing their autonomy and adaptability in dynamic environments. 3. LLMs can optimize UAV communication by improving spectrum sensing and sharing capabilities, leading to more efficient and reliable data transmission. 4. LLM-integrated UAVs have wide applications in surveillance, emergency response, delivery services, environmental monitoring, and satellite communications. 5. Challenges in implementing LLMs in UAVs include computational resource constraints, latency issues, model robustness, integration with existing systems, and data security. 6. Future research directions focus on advancements in LLM algorithms, integration with emerging technologies, computational efficiency optimization, latency reduction, reliability enhancement, and regulatory considerations. The paper highlights the transformative potential of LLM-UAV integration in creating more sophisticated, intelligent, and responsive autonomous systems across various domains.

Great Human Pilots Talent Vs. AI-Based UAV’s This great short video which I specifically selected to show you the power of “Mother Nature’s Air Power and Manmade Air Power” Whoever filmed this great video if you analyze very carefully the very first video frame of Hi-Tech Fighter Jets first “Salutes & Pay Tribute to an accident built Wind Powered Sailed Warship” and then they displayed their “Extraordinary” talent by breathtaking Air display and that's what “Human Pilots” are capable and NO other AI -Based Robot will "Never Ever" will be able to perform like this for sure. Therefore, Never Ever Underestimate Human Natural Talent with so-called AI-based UAVs or Robots with whatever Deep Learning cycle you program them will NOT be able to supersede the precision of "Human Brain Power" Talent. By – Suraseth Gehard Mendis.