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

Cambridge, MA – Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is flowing to the right areas at the exact time when it is ...

2024, Paper: "This essay outlines foundations of the current moment facing corporations and politics, which I have characterized as a new “problem of twelve”—that is, the concentration of power in the ...

EasyCSP is an open-source Java library for Constraint Satisfaction Programming. Supports CSPs, CSOPs, discrete object domains, int interval domains, int constraint binarization. Examples include ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

ABSTRACT: This paper focuses on the low production line balance rate and prominent bottleneck processes in smoothie machine production line. It employs industrial engineering methodologies to conduct ...

We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.