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 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."
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. 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?" Powered by Microsoft's Cloud and Cortana Analytics Suite, the new platform allows organizations like Cricket Australia to leverage predictive analytics and machine-learning to best understand players' performance on the pitch. "The new platform takes this vast amount of data, provides an environment for our sports science folks to explore that data and find insights in it, and then provides a very elegant dashboard that will surface the trends and the information that will be impactful to the coaches," Michael Osborne, Cricket Australia's Head of Technology, told Financial Review.
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 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. So, in an attempt to use technology to improve the system, Sarvashrestha Paliwal, Azure business lead for Microsoft India, said that machine learning could improve the system. "We believe we can use historical Twenty20 data to derive an always up-to-date D/L table that takes into account these latest statistics.
'Our research got a huge push when a television station in the Netherlands asked us to organize a nation-wide study on vocabulary knowledge,' states Professor Marc Brysbaert of Ghent University in Belgium and leader of this study. To discover how many words you know, the test first asks users personal information such as age, gender, education level and native language. Last month, Google gathered data from its search trends to reveal the top words American's ask'how to spell' in each of the 50 US states - and most are commonly used words. Google gathered data from its search trends to reveal the top words American's ask'how to spell' in each of the 50 US states - and most are commonly used words.