A crossword puzzle generator that uses Constraint Satisfaction Problem (CSP) techniques to fill a given crossword grid with words from a given vocabulary enforcing constraints such as word length and ...

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

Source: Walther. Gemini. 2025 Last year, natural disasters cost the world $320 billion. This year, four American tech companies will spend roughly the same amount building AI systems. This symmetry ...

Homeowners insurance protects your property and belongings from fire, theft, natural disasters and other unexpected events. It can also pay for lodging and other expenses while your home is being ...

How to go from a few teams to hundreds by Darrell Rigby, Jeff Sutherland and Andy Noble By now most business leaders are familiar with agile innovation teams. These small, entrepreneurial groups are ...

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 ...

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