Learn about a workplace trend raising concern called "quiet constraint," why it's a threat, what's driving it and how ...

Abstract: The conventional zeroing neural network (ZNN) model faces significant challenges in handling time-varying noise, with its convergence speed being highly sensitive to initial conditions. In ...

Abstract: In this article, we introduce a novel framework that combines constraint logic programming (CLP) with deep reinforcement learning (DRL) to create adaptive environments for continual learning ...

A proposal is made for including in a programming language statements which imply relations between variables but which are not explicit assignment statements. The compiler sets up a Newtonian ...