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GCC AI Research

Soccernet brings AI to the game

KAUST · · Notable

Summary

KAUST researchers Anthony Cioppa and Silvio Giancola have developed SoccerNet, an open platform for AI-driven sports analysis. SoccerNet uses a large reference set of soccer game recordings (500 games, 850 hours) to provide a platform for research. It enables researchers to develop AI systems that understand and analyze soccer games. Why it matters: This platform addresses the challenge of limited datasets in sports AI research, fostering innovation and standardized performance comparison.

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KAUST Academy launches summer program in sports artificial intelligence in collaboration with Vista Equity Partners and Stats Perform

KAUST ·

KAUST Academy has launched a summer training program called "Artificial Intelligence in Sports" in partnership with Vista Equity Partners and Stats Perform. The program included 20 intensive sessions of lectures, labs, and competitions for students with Python and ML knowledge. Participants used real data from football competitions including the Saudi Pro League. Why it matters: This program supports Saudi Arabia's Vision 2030 by investing in local talent and linking academic knowledge with real-world applications, particularly in preparation for hosting the 2034 FIFA World Cup.