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AI: How a Silicon Valley algorithm could change the world of sports forever

Daily Mail - Science & tech

Popularised in the Brad Pitt film Moneyball, groundbreaking analytics almost saw the Oakland A's crowned the kings of baseball back in 2002. General manager Billy Beane's evidence-based, sabermetric approach allowed the small-market franchise to compete against teams with much bigger budgets by finding undervalued players through revolutionary statistical analysis. The concept sparked the adoption of more data-driven principles across a myriad of sports – with teams and coaches all trying to gain a competitive advantage – but the latest innovation may be the biggest game-changer of the lot. Invented by artificial intelligence company Zone7, the new Silicon Valley algorithm is being used by teams in the NBA, NFL and Premier League as a way to detect injury risk and recommend pre-emptive action. One of those clubs, Liverpool FC, has deployed it to great success this season in their hunt for an unprecedented quadruple, cutting the number of days players have lost to injury to 1,008 from more than 1,500 in 2020/21.

EA Sports and FIFA Officially Split Up After 30 Years


EA Sports announced Tuesday that the soccer title it publishes in 2023 would be part of the new EA Sports FC brand, doing away with the FIFA name the series has used since the days of the Sega Genesis and Super NES. The announcement marks a significant break for one of the oldest and most popular continuous franchises in video game history. This story originally appeared on Ars Technica, a trusted source for technology news, tech policy analysis, reviews, and more. Ars is owned by WIRED's parent company, Condé Nast. "We're thankful for our many years of great partnership with FIFA," EA CEO Andrew Wilson said in a statement.

EA Sports To End FIFA Video-game Partnership After Three Decades

International Business Times

The wildly popular FIFA video-game series will be rebranded EA Sports FC next year, its publisher Electronic Arts said on Tuesday, ending a three-decade relationship with football's governing body. Launched in 1993, a generation of millions of football fans and gamers across the globe grew up playing the game and it became a huge money-spinner. But "months of tense negotiations" between California-based Electronic Arts (EA) and governing body FIFA failed to end in an agreement to extend the partnership, The New York Times reported. FIFA reportedly wanted the $150 million it gets annually from EA to be increased to $250 million or more. The game has more than 150 million player accounts, according to EA, and The New York Times said it had generated more than $20 billion in sales over the past two decades.

Here's what FIFA's divorce with EA Sports means for video game fans

Washington Post - Technology News

Thanks to separate licensing agreements, EA Sports can keep most of its features even after its breakup with FIFA. Among those agreements are a deal with FIFPRO, the global players union, that was recently renewed and will allow the game to maintain player names and likenesses. EA also has deals with the English Premier League, German Bundesliga, Spanish La Liga, MLS and UEFA Champions League, among others. Each organization released comments of support to go with EA's official announcement Tuesday.

Fifa: EA Sports to stop making popular video game

BBC News

Electronic Arts have been publishing the Fifa video game, one of gaming's biggest brands, since 1993.

Data Diving Into Fiction's Future


This is AI-power for digital ART, a newsletter about Art & AI technology to transform the way that people experience the world.. Every time we take on something new, we enter into an entirely new era, whether it be taking up soccer or starting college, or entering our first relationship (or breaking up). The future is all unknown territory until you step in and pave your own path. But how can you do that when you’re so scared of what could happen? Data-Driven Fiction is here to help you break free from such fears and take a step into the future.

3 Positive Use Cases of Deepfakes


The negative applications of deepfakes can be controlled through blockchain and other deep learning-based image forgery detection tools. However, there is more to deepfakes than just negative applications. Ever since the emergence of deepfakes, they have been normally associated with pranks or cybercrimes. Accordingly, there are several pieces that discuss the ways in which deepfake-related problems can be resolved through blockchain or deep learning-based image forgery detection. The concept of deepfakes, also known as synthetic media, is one of the more irreverent applications of AI and computer vision.

Artificial Intelligence in the Future of Sports


AI is rapidly changing the face of traditional games and sports. Whose side are you on? He sees an opening on the left flank and immediately punishes them. After rushing to the side, he finds his teammates in the center and quickly crosses for the finish! Turn on any sports channel and you'll hear something similar. Chances are you've imagined Ronaldo or another star player running down a new pitch.

The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review

Journal of Artificial Intelligence Research

Predicting the results of matches in sport is a challenging and interesting task. In this paper, we review a selection of studies from 1996 to 2019 that used machine learning for predicting match results in team sport. Considering both invasion sports and striking/fielding sports, we discuss commonly applied machine learning algorithms, as well as common approaches related to data and evaluation. Our study considers accuracies that have been achieved across different sports, and explores whether evidence exists to support the notion that outcomes of some sports may be inherently more difficult to predict. We also uncover common themes of future research directions and propose recommendations for future researchers. Although there remains a lack of benchmark datasets (apart from in soccer), and the differences between sports, datasets and features makes between-study comparisons difficult, as we discuss, it is possible to evaluate accuracy performance in other ways. Artificial Neural Networks were commonly applied in early studies, however, our findings suggest that a range of models should instead be compared. Selecting and engineering an appropriate feature set appears to be more important than having a large number of instances. For feature selection, we see potential for greater inter-disciplinary collaboration between sport performance analysis, a sub-discipline of sport science, and machine learning.

Artificial Intelligence Is Changing Soccer And Could Decide The 2022 World Cup


The LED screen informs of a VAR review following a goal scored by Zayed Al Ameri of Al Jazira Club ... [ ] which was later disallowed during the FIFA Club World Cup UAE 2021 1st Round match between Al Jazira Club and AS Pirae at Mohammed Bin Zayed Stadium on February 03, 2022 in Abu Dhabi, United Arab Emirates. Refereeing decisions at the World Cup have been debated decades later. From whether the ball crossed the line in the final in 1966, through Diego Maradona's "Hand of God" two decades later, to some of the decisions made by the video assistant referee at Russia 2018, any perceived mistake by the referee will be scrutinized by fans years later. Referees need all the help they can get, and they could be about to be given a hand from artificial intelligence. Over the past few years, FIFA has been trialing the use of limb-tracking offside technology, which uses AI along with a series of cameras around the stadium to follow players' limbs and instantaneously creates virtual offside lines for referees.