The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

We study the convergence of a proximal-like minimization algorithm using Bregman functions. We extend the convergence results by Censor and Zenios (1992) and by Chen and Teboulle (1993) by showing ...

This is a preview. Log in through your library . Abstract The Contrastive Divergence (CD) algorithm has achieved notable success in training energy-based models including Restricted Boltzmann Machines ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

A team of predominantly Filipino weather scientists developed a physics-based algorithm to detect and monitor shear lines.