Researchers at Cornell University in the United States have unveiled an artificial intelligence (AI) system capable of accurately predicting the winning team in almost any sport.
As AI technology evolves, it is increasingly integrating into various aspects of our lives, from automobiles and video games to the creation of art. Now, its application is expanding into the sports arena.
The AI, developed by the Department of Intelligent Systems and Control at Cornell University, leverages machine learning to precisely estimate the odds of victory for teams across a range of sports.
This innovation marks a significant step forward in the use of AI to enhance predictive analytics in the sporting world.
Can predict win rates 80% accurately
Silvia Ferrari, who leads the research team, described the workings of their system as follows: “Utilizing machine learning, we analyzed volleyball, basketball, football, ice hockey, and other sports accessible online, focusing on the posture, positioning, and movements of each player within a team.
After extensive analysis spanning hundreds of hours, we crafted an algorithm capable of predicting the outcome of a match before the first half concludes.”
Ferrari also shared that her team is actively working on refining the AI to reduce its margin of error to just 1%. Currently, the system boasts an accuracy rate of 69% to 80% for predicting outcomes in both recorded and live sporting events.
These accurate predictions encompass the winning team, player positions, and even the likelihood of which players will score.
Furthermore, the team highlighted the potential of this machine learning algorithm to extend beyond sports analytics. According to Ferrari, the technology could eventually contribute to the development of more lifelike AI in various sectors, including automotive, industrial, and video gaming.
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