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 ...

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: 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 ...

High-entropy alloys (HEAs) are rewriting the rules of materials science, and machine learning is accelerating their design. By predicting phase stability and performance from large datasets, ...

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 ...

Isro used AI and machine learning systems during its successful Chandrayaan 3 mission, which culminated in a soft landing on the moon in 2023.