In the Neural Engineering Center, we also focus our research on neural computation and control. Modeling of neural systems such as brain or peripheral nervous systems are powerful tools for the ...

An early proof of concept demo of Meta's neural gesture band connected to Garmin smart car interface is the company's next ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device. (c) Experimental results ...

“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 ...

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 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...