Abstract: National Airspace Systems (NAS) are cyber-physical systems that require swift air traffic management (ATM) to ensure flight safety and efficiency. With the surging demand for air travel and ...
As aerospace systems become more capable and integrated, tools must advance to allow designers to cope with increasing complexity. From multi-scale simulation through computational intelligence and ...
Bengaluru:Leading aerospace scientists, engineers and industry experts from India and abroad convened in Bengaluru on ...
Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...
PilotEye is a vision-based situational-awareness system using a neural network to detect objects. Credit: Avidyne/Daedalean Swiss startup Daedalean anticipates certification of the first cockpit ...
On this episode of the Connected Aircraft Podcast, we learn how airlines and aerospace manufacturers are adopting the use of data science workstations to develop task-specific machine learning models ...
Morning Overview on MSN
MIT prints aluminum 5x stronger than standard alloys
Engineers at the Massachusetts Institute of Technology have designed a new aluminum alloy that can be 3D printed and reach ...
Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...
Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...
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