Chess programs utilize algorithms and advanced mathematics to evaluate board positions and plan moves, assigning values to various scenarios and utilizing extensive databases for openings and endgames. The significant improvement in chess computing is largely attributed to the increased CPU speeds of modern PCs, allowing programs to look ahead 13 to 17 moves. While faster processors enhance the speed of calculations, they do not necessarily improve the quality of moves selected, as deeper calculations yield diminishing returns on performance. Techniques like alpha-beta pruning are crucial for optimizing search efficiency, enabling programs to evaluate more positions without exhaustive brute force. As technology progresses, the gap between human players and chess engines continues to widen, making it increasingly challenging for humans to compete.