Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

Control allocation algorithms for quadrotor unmanned aerial vehicles (UAVs) avoid incorporating relatively minor aerodynamic effects such as ‘blade flapping' and induced drag in order to simplify the ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Neural networks are starting to see some of the earliest forms of development adoption and potential for expansion in applications across multiple segments of aviation for electronic systems both on ...

Researchers have unveiled a new generation of photonic computing chips capable of performing real‑time learning and decision‑making using only light-based processes. Photonic chips deliver real‑time ...