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 ...
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 ...
The neural network detects objects in the camera images that potentially pose airborne hazards, from birds to helicopters. Credit: Daedalean Swiss startup Daedalean is hoping for an “AI moment” for ...
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 ...
Order supports commercial aerospace in-flight entertainment systems, with potential for five-year revenue pipeline of over $6 ...