Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Aerospace machining places unique demands on equipment, processes and consistency—far beyond standard manufacturing. In this webinar, we’ll break down what makes aerospace machining different, why ...

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 ...

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 ...

Swiss startup Daedalean is hoping for an “AI moment” for aviation if, as anticipated, its first cockpit application of artificial intelligence is certified by early 2025. It is a modest beginning, a ...

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 ...