Team GB's freestyle skier Zoe Atkin is putting AI to the test as she gears up for her second Olympic Games in Milan-Cortina 2026.
In a bid to gain an edge over her competitors, Atkin has been analyzing AI-powered predictions that forecast medal winners at major sporting events. The AI model was created by a team of British developers who specialize in using machine learning algorithms to analyze large datasets.
However, it seems the algorithm got its math wrong and predicted Zoe Atkin would win silver, not gold. "Rude, they gave me silver!" Atkin exclaimed when informed of the prediction error. Her reaction reveals just how confident she is about her chances at this year's games, but also highlights the limitations of using AI in predicting human performance.
The use of AI models to predict sporting outcomes has gained significant attention in recent years as more and more developers work on developing algorithms that can accurately forecast medal winners. But while these models have shown promise, there remains a significant gap between them and actual results.
As Atkin prepares for her upcoming games, she will be keeping a close eye on the AI model's predictions, but ultimately relying on her own skills and training to guide her performance.
In a bid to gain an edge over her competitors, Atkin has been analyzing AI-powered predictions that forecast medal winners at major sporting events. The AI model was created by a team of British developers who specialize in using machine learning algorithms to analyze large datasets.
However, it seems the algorithm got its math wrong and predicted Zoe Atkin would win silver, not gold. "Rude, they gave me silver!" Atkin exclaimed when informed of the prediction error. Her reaction reveals just how confident she is about her chances at this year's games, but also highlights the limitations of using AI in predicting human performance.
The use of AI models to predict sporting outcomes has gained significant attention in recent years as more and more developers work on developing algorithms that can accurately forecast medal winners. But while these models have shown promise, there remains a significant gap between them and actual results.
As Atkin prepares for her upcoming games, she will be keeping a close eye on the AI model's predictions, but ultimately relying on her own skills and training to guide her performance.