Bengaluru:Leading aerospace scientists, engineers and industry experts from India and abroad convened in Bengaluru on ...
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 ...
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 ...
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 ...
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 ...
Abstract: Models are built to help represent, understand, and further characterize physical systems. In addition, the ubiquitous presence of uncertainties in material properties, geometry, and loading ...
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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