Artificial Intelligence and sport's future
Have you wondered why teams wildly battle and ultimately squash huge money for an unknown person after an auction in the Indian PremierLigue? If you did, you would not be the only one, because the franchise movement does not conform to traditional logic.
Apparently, conventional logic is too limiting. Enter Intelligence artificial. AI is much easier, as humble as it may be, to pick out talent - obscure or otherwise - to ensure that the likelihood of franchise winners is increased. The new edition of the material used nowadays is Moneyball, a book and a film about the unexplained success of Oakland Athletics in baseball in 2002.
V Kamakoti, Professor of the Computing Department, IIT Madras and Chairman of the AI Task Force of India, says, 'AI can understand more detail in less time than we will ever have,' "Energy intake is the only difference. Our brain normally uses about 25 watts. AI's getting a lakh and more. If consumption is not a requirement, more computing can be done, and quicker, than we will ever." The only duty of AI is to make sure the task at hand is fulfilled better than it did a moment ago so that sensors can understand it at a pace unusual.
The only duty of AI is to make sure the task at hand is fulfilled better than it did a moment ago so that sensors can understand it at a pace unusual.
"Tell a team to make a small budget for the IPL, fed all the data, and requested to choose the best squad in order to meet the requirements of the AI engine. In no time, AI does this and then reduces it to opposition, matches, circumstances, etc. A scout, selectors, and a coach are redundant at this point because AI does it faster and obviously better."
More later, since it deals with the sport and the athletes concerned without explaining how AI affects viewers and their content consumption.
At a time when a global pandemic pushed everyone indoors, TV and OTT platforms have taken the lead and are offering a range of datapads to keep the audience hooked.
Broadcasting and streaming services have always sought ways of retaining exposure and have taken their choices to AI to provide a solution. They have been able to do so. It has finely curated packages by social assessments, subtitles based on the placement of this user, and much more through offering new camera angles based on user compulsions.
Sanjog Gupta, sports head of Star and Disney India recently revealed that AI is playing an important part in its dissemination. "The quality of replays required to make the decision will be greatly improved over the next 12 months. In an interview with PTI, Gupta explained that the best technology is making decisions more and more accurate and precise," he said.
"Therefore, I believe it is a question of continuous investment in technology and continuous improvement in camera efficiency."
Gupta states that all 34 cameras used during IPL play will double the number of slow-motion cameras, which means more cameras don't have to play. However, the possibility has been given to raising the number of cameras per game by Star because games have gone on without crowds (large range cameras will take up room and can destroy spectators on the ground).
There is more, however. IBM Watson, now responsible for the automatic curation of tennis highlights, has reworked traditional Wimbledon matches over 40 years ago. When you see every blond strand of a luscious Boris Becker mane bounce as Stefan Edberg crinkles in his forehead, you can thank AI for the great experience, though the remastering of old footages is a difficult concept.
Imagine cricket the same thing. Sweat on the brows during the 1983 World Cup win for Kapil Dev and his men. Perhaps, at the same World Cup, AI could even recreate Kapil's recorded 175.
"They're not completely unlikely," says a Bengaluru AI specialist who has worked in the past on the reconstruction of tools. "Data from the scorecard are available and input text. It's not difficult to come up with a rendering if we can get people on the floor, including Kapil Dev himself, to discuss knock. It will not be right, but it will not be impossible." This is not true.
You start to feel like anything is possible at this point.
A research paper entitled: Multi-level modeling of Formula One Driver and Constructor Results in 1950–2014 was developed in the 2010s by a team from the Sheffield Methods Institute at Sheffield University. Apart from their scholarly title, their readings did not delight those in Formula One industry, for the technology, was the world's most technologically advanced sport.
Dr. Andrew Bell, Team Manager F1 noted that 86% of the results, on average, comes from the car/team and 14% from the driver between 1979 and 2014. It was down to about 10% in 2018.
At that time, these figures have declined. That means that the sometimes criticized feature of Formula One is not irrational, rather than unfounded.
In particular, Lewis Hamilton wouldn't be very satisfied, as the seven times World Champion is twelfth on the list of the best drivers of all time, as far as this research paper is concerned. The number one Juan Manual Fangio is followed by Michael Schumacher and Alain Prost.
Fernando Alonso is actually the top ranking in the current sector and the sixth in the overall chart.
Machine Learning started the process (ML). The researchers allow the machine to decode data from all algorithms and statistical models that are fed. After the data have been decrypted, AI has restricted the field and acted on the required information.
Think of the knowledge that ML provided as a child. Ultimately, information is the basis for deeper thinking and faster learning. AI is therefore the capacity of the child to work as efficiently as possible on the available knowledge.
In essence, AI reflects the capacity of people to feel, think, and behave, often. In this case, Fangio's response would be if you had the last strand of Formula One and if the question was "Who is the greatest driver of all time?"
But if AI had just ended barroom battles, it wouldn't have consumed sport and its suppliers as hatefully.
When the world chess champion Gary Kasparov beat IBM's Deep Blue in 1997, it became apparent that the method of data crunching would be milked.
"There's a huge thing about AI," said the former coach of the Indian cricket team, Ramji Srinivasan. "The fitness tests are obsolete in five years at the pace at which AI is running. They constantly have all the data that a coach/trainer wants because all athletes are now wearable.
"These wearables also provide players with customized exercise schedules and diets. These individual data are then transmitted into a device designed for the team to calculate how the team will benefit from their preparation, diet, and several other parameters. With these data, you can choose even teams," he says.
"We will implant a chip into the body of an athlete in a few years and track his every move," he said.
To help their work, Newsmusk allows writers to use primary sources. White papers, government data, initial reporting, and interviews with industry experts are only a few examples. Where relevant, we also cite original research from other respected publishers.
Source- Deccanherald
