Nonlinear dynamical systems are characterised by complex interactions that defy traditional linear control methods. Neural network control strategies offer a data-driven paradigm, leveraging both ...

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 ...

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability. Artificial intelligence researchers have ...

A tool for checking the output of neural networks makes finding errors as easy as spotting mountaintops from an airplane. (Purdue University image) WEST LAFAYETTE, Ind. – In the background of image ...

And without that proof, no safety-critical system can be certified with a neural network in its control loop. A new theorem ...

State-of-the-art prosthetic limbs can help people with amputations achieve a natural walking gait, but they don't give the user full neural control over the limb. Instead, they rely on robotic sensors ...

In the winter of 2011, Daniel Yamins, a postdoctoral researcher in computational neuroscience at the Massachusetts Institute of Technology, would at times toil past midnight on his machine vision ...