AI-Driven Optimization of Chess Preparation for High-Performance Players

Isaac Lozano-Osorio, Jesús Sánchez-Oro
Dec 20, 2023

Principal investigators: Isaac Lozano Osorio, Jesús Sánchez-Oro
Funding entity: Spanish Chess Federation (Federación Española de Ajedrez)
Internal reference: M3341
Period: December 2023 – December 2024

Description

This technology transfer project, funded by the Spanish Chess Federation, aimed to apply Artificial Intelligence techniques to optimize the competitive preparation of high-performance chess players.

A remotely configurable analysis server was designed and deployed, with the analysis module tuned specifically for high-performance use and installed on players’ workstations. Custom algorithms were developed to generate personalized reports for elite players, identifying playing patterns and preparing tailored strategies against specific opponents.

In addition, a web platform was built for high-performance players to centralise access to reports and preparation tools.

Impact

The results were most visibly demonstrated at the 2024 Chess Olympiad, where the Spanish team achieved its best historical results. The methodology was covered in national media:

Dissemination

The work was presented at leading conferences:

  • OSINT in Chess: The Secret Behind Spain’s Olympic Medals — RootedCON 2026, Track Rooted, Room 17
  • OSINT in Chess: The Secret Behind Spain’s Olympic Medals — HackRON 2026, Auditorio de Tenerife Adán Martín
  • We all work with patterns: how AI finds them in chess and in the classroom — IV International Congress on Chess and AI, Maó (Menorca), 25 April 2026
Transferencia
Isaac Lozano-Osorio
Isaac Lozano-Osorio
Phd in Artificial Intelligence

Isaac Lozano graduated with a double degree in Computer Engineering and Computer Engineering from the Universidad Rey Juan Carlos, where he was awarded the prize for the Best Final Project. Subsequently, he completed a Master in Artificial Intelligence Research (UIMP). His main research interests are focused on the interface between Computer Science, Artificial Intelligence and Operations Research. Most of his publications deal with the development of metaheuristic procedures for graph modeled optimization problems.

Jesús Sánchez-Oro
Jesús Sánchez-Oro
Associate Professor

Associate Professor at the Computer Science Department, being one of the senior researchers of the Group for Research on Algorithms For Optimization GRAFO.