The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

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

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 ...

“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 ...

Abstract: Strategic behavior in complex systems—such as digital platforms or autonomous agent networks—is shaped by how information is collected, shared, and used in decision-making. In this talk, I ...

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

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 ...

Biology-inspired, silicon-based computing may boost AI efficiency; AMP2 instead uses AI to accelerate anaerobic biology.

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

Reichman University Researchers Reveal How the Brain Dynamically Reconfigures Networks During Speech Processing Study published in NeuroImage demonstrates how the human brain flexibly reorganizes ...