Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

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 ...

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 ...

Swiss startup Daedalean anticipates certification of the first cockpit avionics to incorporate machine learning (ML) by year-end or early in 2025. The company is working with U.S. avionics ...

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 ...

Discover how a new Southern California aerospace boom is taking off, fueled by AI startups, defense tech innovation, and ...

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 ...

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 ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...