Intel-Powered Agentic AI Analyzes Chess Players' Every Move

At the heart of the AI Analysis Room is a novel open source research solution called ShashGuru, developed by computer science student Alessandro Libralesso. It's built on the foundation of ShashChess, a customized chess engine derived from Stockfish, one of the strongest and most popular open source engines available.

"ShashGuru combines the conversational capabilities of Meta's Llama-3.1-8B language model with the the precise strategic analysis of ShashChess, powered by the computational speed of Intel architecture," explained Paolo Ciancarini, Professor of Computer Science at the Department of Informatics at the University of Bologna. "This opens up a new approach to human-computer interaction in the chess domain."

By utilizing the AI engines of Intel® Core™ Ultra 200V series processors, running OpenVINO™ software locally on the PC, the tournament teams get human-interpretable analysis via ShashGuru in between matches to better understand their competitor's strategies and tactics. Viewers will educate themselves via ShashGuru running on Intel® Xeon® 6 processors with P-cores, designed to serve at scale and tweaked for near real-time responsiveness.

"With this research, Lasker's quest for even better moves can be achieved - with added analysis - outside of the cloud thanks to AI PCs," said Alessandro Palla, senior staff deep learning engineer and one of Intel's AI researchers in the Neural Processing Unit (NPU). "Optimized for performance to speed up the delivery of insights and bolstered with reinforced learning to reduce hallucinations, agentic AI now acts as a chess mate to call out checkmate."

More Context: