Cricket


Googly-eyed robot beats 'I am not a robot' Captcha test

#artificialintelligence

A mechanical robotic arm managed to circumvent a computer password system meant to deter "robots." YouTube user Matt Unsworth shared video of the robot, outfitted with a pair of googly eyes, as it used a stylus pen to check an "I am not a robot" Captcha security box. The tounge-in-cheek video pokes fun at the language used by the security verification system intended to prevent spam or computer automated extraction of data from websites. The robotic arm slides the stylus up the computer mouse pad before just barely managing to click inside the on-screen check box which proceeded to swirl into a green check mark. Proud of its success, the robotic arm turns toward the camera and drops the stylus as an animated pair of glasses fall upon its "eyes" alongside the phrase "Deal with it."


Apple's iOS 10.3 brings cricket support for Siri and a way to find your lost AirPods

Mashable

The latest iOS 10 beta update, 10.3, is sure to bring cheer for Indian users as Siri, Apple's digital assistant, will now be offering cricket scores, stats and trivia. SEE ALSO: Apple had its best year ever in world's fastest growing smartphone market The new feature makes Apple's intent in its fastest-growing market very clear. India is a cricket-crazy nation and the demand for such content is huge. However, Apple is actually playing catch-up with Google Now which added cricket support three years ago. Apple said in a statement that Siri will be pulling in information from International Cricket Council (ICC) tournaments and the wildly popular Indian Premier League (IPL).


Cricket Australia Testing Microsoft's New Intelligent Coaches' Platform

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The same Microsoft technology currently used by healthcare organizations and yes, robots, is now being tested throughout the summer months by Cricket Australia, making it the first cricketing nation to integrate the company's team and player performance platform into its decision-making processes across fitness, game strategy, player recovery and team selection. As part of the new deal with Microsoft, Cricket Australia is now one of a few sports organizations worldwide experimenting with the new platform. At the recent Microsoft Australia Developer Conference, Chief Executive Officer Satya Nadella said he was "glad" with how Cricket Australia was planning to integrate "machine learning" into its overarching strategy. "Cricket is one of the richest sports when it comes to using machine data. But how could you harness the power of data to even start having a more intelligent informed conversation about performance of teams, performance of players?"


Microsoft CEO Satya Nadella reveals next stage of Australia's investment into artificial intelligence - Startup Daily

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During his first official visit to Australia, Microsoft CEO Satya Nadella revealed how the company will be working with a range of local organisations to push the next stage of Australia's investment into artificial intelligence [AI]. Among the world's first users of Microsoft's new high performance virtual and intelligent machines are the Australian Government, Cricket Australia, and Webjet. Microsoft will deliver cloud services to Australian developers that will underpin the next generation of intelligent apps. This comes as the largest Windows 10 deployment in the Asia-Pacific region, and will help companies around Australia generate deeper customer insights and learnings. Speaking at a technology developer's conference in Sydney on Wednesday, Nadella said the new intelligent technology to be deployed by Microsoft and will allow human-like interactions with complex business systems.


Microsoft invites Indian developers to use its machine learning and data tools – Tech2

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Global software major Microsoft on Monday invited Indian developers to use its machine learning and data platforms for building digital products and solutions to transform businesses and drive inclusive growth. "Our ambition is to democratise access to new technologies so that software developers can build, innovate and transform the world with them," said Microsoft data group Vice President Joseph Sirosh at a conference on machine learning and data sciences here. Noting that cloud-based services for machine learning and big data, coupled with the Internet of Things (IoT) have the potential to revolutionise every aspect of life, including sports, healthcare, education and even government, he said the company's unique platforms such as the Cortana Intelligence suite were helping customers to harness the power of artificial intelligence. The two-day conference is aimed at exploring the possibilities with big data, machine learning, artificial intelligence and open source technologies in enabling platforms, intelligent apps, services and experiences to accelerate economic growth, empower people and drive real impact. Demonstrating the power of data analytics, Microsoft unveiled an Azure machine learning-based approach for calculating target scores in weather-interrupted T-20 cricket matches.


Microsoft stumped after cricket stats king dismisses Duckworth-Lewis machine learning pitch

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Microsoft's attempt to use machine learning to improve on the Duckworth-Lewis method in cricket has been dismissed by the current custodian of the system. For the uninitiated, the Duckworth-Lewis method, or D/L method for short, is used to calculate the score that the team batting second in a limited overs cricket match needs to reach if the match is affected by rain. For example, if the team batting first scores 400 in 50 overs for five wickets, but rain reduces the second team's innings to 40 overs, the D/L method may put forward a score of 300. It was invented by statisticians Frank Duckworth and Tony Lewis and was first used in 1997 in a match between England and Zimbabwe. It is now regularly used at matches at all levels.


Improving the D/L Method using Machine Learning

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Technology is continuing to play an integral part in sports. In cricket too, there are many areas where technology can be used. Machine learning will play an important role in Sports Analytics. We believe that we can use Machine Learning to analyze historical cricket games, and use this to continuously improve the Duckworth Lewis (D/L) Method of computing target scores in rain-shortened matches. The Current D/L method is a statistical method invented by statisticians Frank Duckworth and Tony Lewis.


Microsoft Invites Developers to Use Machine Learning

#artificialintelligence

Global software major Microsoft on Monday invited developers to use its machine learning and data platforms for building digital products and solutions to transform businesses and drive inclusive growth. "Our ambition is to democratise access to new technologies so that software developers can build, innovate and transform the world with them," said Microsoft data group Vice President Joseph Sirosh at a conference on machine learning and data sciences in India. Noting that cloud-based services for machine learning and big data, coupled with the Internet of Things (IoT) have the potential to revolutionise every aspect of life, including sports, healthcare, education and even government, he said the company's unique platforms such as the Cortana Intelligence suite were helping customers to harness the power of artificial intelligence. The two-day conference is aimed at exploring the possibilities with big data, machine learning, artificial intelligence and open source technologies in enabling platforms, intelligent apps, services and experiences to accelerate economic growth, empower people and drive real impact. Demonstrating the power of data analytics, Microsoft unveiled an Azure machine learning-based approach for calculating target scores in weather-interrupted T-20 cricket matches.


Googly-eyed robots rule: Why it's vital to make us like them

New Scientist

An electric buggy's brakes fail, sending it into the street where it blocks traffic; its owners say that it's the third time this has happened and they're going to have to scrap it. Bystanders nod and get on with their day. A dog slips its leash, running into the street where it blocks traffic; its owners say that it's the third time this has happened and they're going to put the dog down. Last month, the Russian robot Promobot wandered out of its testing and programming facility for the third time, blocking traffic when its battery ran out in the street. Its owners expected the first kind of reaction when they said they were going to scrap it.


Using Machine Learning to Predict the Outcome of English County twenty over Cricket Matches

arXiv.org Machine Learning

Cricket betting is a multi-billion dollar market. Therefore, there is a strong incentive for models that can predict the outcomes of games and beat the odds provided by bookers. The aim of this study was to investigate to what degree it is possible to predict the outcome of cricket matches. The target competition was the English twenty over county cricket cup. The original features alongside engineered features gave rise to more than 500 team and player statistics. The models were optimized firstly with team features only and then both team and player features. The performance of the models was tested over individual seasons from 2009 to 2014 having been trained over previous season data in each case. The optimal model was a simple prediction method combined with complex hierarchical features and was shown to significantly outperform a gambling industry benchmark.