Why a Sudoku-solving program looks smart: Recursion, backtracking, and the idea of 'trying from the most likely failure points'

I was thinking about a program to solve Sudoku.You fill a 9x9 grid with numbers from 1 to 9. The same number must not be ...

Just Splitting Mahjong Tiles Leads to a Massive Flowchart—The Invention of Recursive Functions

When studying programming, you notice something strange.Processes that are extremely complex for humans to think through can ...
Unite.AI

What Is Regularization? L1, L2, Dropout, and Early Stopping Explained

Regularization changes the training objective, architecture, or stopping process to discourage brittle complexity and improve ...
Unite.AI

Five Possible Back-Doors into LLM Search Results

With the plunge in traditional traffic from search engine results, due to the new trend for AI summaries, publishers at all ...
GitHub

Automated Timetable Generator

A Python/Flask academic scheduling workspace that imports institutional timetable data, searches for a complete schedule, independently validates faculty/section/room conflicts, and exports CSV. The ...
GitHub

Hospital Bed Allocation Using CSP

A Constraint Satisfaction Problem (CSP)-based system that allocates available hospital beds to patients according to predefined requirements and constraints. 🎓 An Artificial Intelligence PBL project ...
PNAS

Causality-integrated graph learning for multi-endpoint toxicity prediction

Existing models largely predict toxicity one end point at a time, although chemical toxicity emerges from coordinated perturbations across multiple targets, pathways, and adverse outcomes. We ...
huggingface

EXAONE-Dementia-SAR

strategy_probs Relative weights for six movement strategies: familiar-route following, keeping direction, random walking, backtracking, staying put, and seeking a landmark. Sum should be 1. These are ...