In free-space optical communication scenarios, atmospheric turbulence distorts the complex wavefront of signal-carrying light beams, leading to bit errors and even communication interruptions. Note ...

Abstract: Convolutional neural networks (CNNs) have wide applications in pattern recognition and image processing. Despite recent advances, much remains to be done for CNNs to learn a better ...

In order to understand the functionality of neural networks, reliable parallel spike trains must be recorded from neuronal ensembles [1, 2]. Silicon-based multi-transistor arrays ('Neurochips') are ...

Abstract: As a fundamental mathematical problem in the field of machine learning, the linear separability test still lacks a theoretically complete and computationally efficient method. This paper ...

Entanglement or non-separability constitutes a cornerstone of quantum mechanics from which many of its unique characteristics arise. For example, non-separability in entangled particle pairs leads to ...

The Commercial Court of England and Wales has outlined limitations of the doctrine of “separability,” i.e., the notion that an arbitration agreement within a commercial contract is distinct from the ...

This post is in response to Can Quantum Physics Hold the Key to Happiness? By Chris Gilbert, M.D., Ph.D. Hopefully, we have all experienced lots of love. What is love? I've come to the conclusion that ...

Hi, Thanks a lot for open-sourcing the code and the histocartography package. The thing is I try to evaluate different explainers with the downloaded cell graphs and important scores (.zipfile) in ...