Abstract: Spiking neural networks (SNNs) offer an effective approach to solving constraint satisfaction problems (CSPs) by leveraging their temporal, event-driven dynamics. Moreover, neuromorphic ...

Prateek Panigrahy is a senior data analytics leader based in Westlake, Texas, with over 16 years of experience in the Business Intelligence domain. With a solid educational foundation including a ...

According to the latest information from the National Intellectual Property Administration, Shenzhen Shikepu Robot Technology Co., Ltd. applied for a patent titled "A Method for 3D Packing Solution ...

Shares of Nvidia supplier SK Hynix 0006605.59%increase; green up pointing triangle hit a record high, after the South Korean company said it is ready to mass-produce a new generation of high-bandwidth ...

The dual-career family is an emergent family form in our society that offers new sources of satisfaction. At the same time, the dual-career life-style also presents new types of problems for families.

Abstract: Ensuring constraint satisfaction in control systems without relying on accurate models is essential for real-world applications. Learning-based Reference Governors (LRGs) address this ...

JuLS is a Julia Local Search solver that combines Constraint Based Local Search (CBLS) and Constraint Programming (CP) to solve Constraint Optimization Problem (COP). It is to be seen as an open ...

This repository contains implementations of reinforcement learning approaches for stochastic constraint satisfaction problems. These are optimization problems where decisions must be made sequentially ...