Inspired by the human brain, artificial neural networks (ANNs) are a type of machine learning model containing multiple layers of interconnected nodes (or neurons) that can process data. Each node in ...

Westlake University in China and the California Institute of Technology have designed a protein-based system inside living ...

This valuable study investigates the neural basis of causal inference of illness, suggesting that it relies on semantic networks specific to living things in the absence of a generalized ...

These networks are modeled after the structure and function of the human brain ... In the emerging field of scientific machine learning, solving partial differential equations with neural networks has ...

This study uses electrophysiological recordings, causal manipulations of activity, and modeling to investigate how the maintenance of a spatial location in working memory affects the representation of ...

We propose a two-stage methodology addressing the challenge of generalization. It employs physics-based simulators, supplemented with ordinary differential equations integrated into the recurrent ...

Abstract: In this paper, a dual-function intelligent reflecting surfaces (IRS) assisted cognitive radio (CR) non-orthogonal multiple access (NOMA) networks for secure transmission is studied.

To many, AI is just a horrible Steven Spielberg movie. To others, it's the next generation of learning computers. But what is ...

Stability criteria for the complex-valued impulsive system are applied widely in many fields, such as quantum systems, which ...