If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Several sports teams are exploring the use and implementation of facial-recognition technology in their stadiums, an effort that would help reduce risks from the coronavirus when fans return, the Wall Street Journal reported. The initial outbreak of coronavirus appeared to accelerate due to high-occupancy sports venues in Europe acting as super-spreaders – most notably soccer stadiums in Italy, and matches in the Champions League involving Spanish teams. With some areas seeing the pandemic under control, sports teams are looking to bring back fans in a safe and controlled way. The use of facial-recognition technology may allow sports venues to bring back small numbers of fans – most likely season-ticket holders or VIP guests – suggested Shaun Moore, chief executive of Trueface, a facial-recognition supplier. Moore indicated that the primary concern is that even scanning ticket bar codes could help to spread the virus.
What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
This is a guest post by Mark Wood at Pulselive. In their own words, "Pulselive, based out of the UK, is the proud digital partner to some of the biggest names in sports." At Pulselive, we create experiences sports fans can't live without; whether that's the official Cricket World Cup website or the English Premier League's iOS and Android apps. One of the key things our customers measure us on is fan engagement with digital content such as videos. But until recently, the videos each fan saw were based on a most recently published list, which wasn't personalized.
The true story of how Oakland A's general manager Billy Beane constructed consistently strong baseball teams on a small budget brought to the world's attention the importance of data analysis in sports. Today, artificial intelligence (AI) is driving a revolution in sports as data analysis did earlier in the century. But this one will likely have much bigger consequences, as sports data and technology firm Stats Perform in Chicago believes. For pro general managers and college recruiting staffs who decide whom to trade for, whom to draft and whom to recruit -- decisions that make or break teams and careers -- AI offers in-depth knowledge never before available. "To see how AI will disrupt sports is exciting," said Nancy Hensley, who recently joined Stats Perform from IBM. "Let's say you're looking to fill out your soccer team, and on paper, two strikers look similar," said Nancy Hensley, Chief Product and Marketing Officer at Stats Perform on LaSalle Street.
In this post, we'll look at some machine learning concepts and learn more about Brain.js.We will discuss some aspects of understanding how neural networks work. We will learn terms like forward and backward propagation along with some other terms used in the machine learning community. Then we will leverage on the power of Brain.js to build a day to day meeting scheduling application using a constitutional neural network. Using Brain.js is a fantastic way to build a neural network. It learns the patterns and relationship between the inputs and output in order to make a somewhat educated guess when dealing with related issues. One example of a neural network is Cloudinary's image recognition add-on system.
Even before gyms closed down (because they'd quickly become coronavirus Petri dishes), I always found it intimidating to walk through the door. All I've ever done to stay fit growing up has been participating in youth sports. I played soccer, ran laps, and did the occasional pushups, planks, and other bodyweight exercises as coaches demanded them. But as I got older and it came time to tame my steadily expanding beer belly, I'd walk past the free weights section of my local gym and head straight to the treadmill. I know strength training is important but I had no idea where to begin.
The 24th edition of RoboCup, due to take place in Bordeaux in late June, has been postponed until 2021. Obviously an event which centres on soccer matches between opposing teams of robots is something that cannot be recreated online. However, keen to do something in place of the annual extravaganza, the organisers laid on a virtual workshop for the RoboCup humanoid community. This provided a venue for teams to present updates, discuss ideas and solve problems. The workshop took place from 25 to 28 June and included presentations, workshops and lightning talks.
There is "evident bias" in some football commentary relating to the skin tone of players, according to a new study. In 80 televised games analysed across four European leagues, including the Premier League, players with a lighter skin tone were praised more often for their intelligence and work ethic. Meanwhile, those with darker skin tones were "significantly" more likely to be "reduced to their physical characteristics or athletic ability", such as their pace and power. The research, conducted by Danish firm RunRepeat in association with the Professional Footballers' Association (PFA), concluded that the findings showed "bias from commentators". "The continuous praise for players with lighter skin tone for their skill level, leadership and cognitive abilities combined with the continuous criticism for players with darker skin tone is likely to influence the perception of the soccer watching public," said the researchers.
Zone7 bases its analysis on more than five million hours of performance data. While it has started pilot programs in MLB and the NHL, its focus is on global soccer, with about three dozen clients spanning Bundesliga, Serie A, Ligue 1 and the English Football League Championship, which is the second division below the Premier League. Its most high-profile success (that it is able to disclose) has been Getafe CF, which is currently in fifth place in Spain's La Liga despite a team wage bill in the league's bottom half. By some measures, they've reduced injuries by 65% with Zone7.
Computer scientists at Loughborough University in the U.K. have developed artificial intelligence algorithms that could revolutionize player performance analysis for football (soccer) clubs. Computer scientists at Loughborough University in the U.K. have developed artificial intelligence algorithms that could revolutionize player performance analysis for football (soccer) clubs. The researchers designed a hybrid system that accelerates and supplements human data entry with camera-based automation to meet demand for timely performance data generated from large amounts of videos. The team applied the latest computer vision and deep learning technologies to identify actions by detecting players' body poses and limbs, and trained the deep neural network to track individual players and capture data on individual performance throughout the match video. Loughborough's Baihua Li said the new technology "will allow a much greater objective interpretation of the game as it highlights the skills of players and team cooperation."