At the Paris 2024 Olympics, a groundbreaking AI-powered talent identification system is being showcased, designed to discover the gold medalists of tomorrow. The technology, currently available to fans at the Games, hopes to bring advanced sports science to remote areas globally and uncover hidden athletic talent.
The innovative system uses a series of tests to measure various physical attributes, including power, explosiveness, endurance, reaction time, strength, and agility. Participants, like young siblings Tacto and Toom from Yokohama, Japan, engage in activities such as running, jumping, and gripping, with their performance tracked and analyzed by the AI system.
Sarah Vickers, head of Intel’s Olympic and Paralympic Program, explains that the technology employs computer vision and historical data to compare participants with elite athletes, helping individuals understand which sport they are most physically suited for. After completing the tests, each participant receives a recommendation on the sport that aligns with their abilities.
The system’s portability is a key feature, enabling assessments with just a basic camera and minimal computing power. This portability was demonstrated recently in Senegal, where the AI technology was used to assess over 1,000 children across five villages. The project, in collaboration with Senegal’s National Olympic Committee, identified 48 children with significant potential and one with exceptional promise, offering them opportunities to further develop their athletic skills.
While the AI system provides an exciting new tool for initial talent assessments, experts like Prof. John Brewer from the University of Suffolk caution that it may not capture all necessary attributes for technical sports or endurance events. He acknowledges the system’s value in making preliminary assessments but emphasizes that it should be part of a broader talent identification process.
At the Olympic Stadium, reactions to the technology have been mixed but positive. Tacto, for instance, was identified as a potential sprinter, although he currently prefers football and tennis. For former athletes Hank and Brock, who tested the system, the results were unexpected: rugby for Hank and basketball for Brock, despite their lack of experience in these sports.
The AI-powered system represents a significant leap forward in sports science and talent discovery, offering a glimpse into how technology might shape the future of athletic identification and development. As the system continues to evolve, its impact on identifying and nurturing future Olympic champions remains to be seen.
