It's the future people! Here come the Klingons.

If surfing the web on your smartphone has ever made you feel like you're on Star Trek, you're not alone. Today's mobile phones are reminiscent of the tricorder — the fictional hand-held device that could do anything from data analysis to sensor scanning — but its capabilities stopped well short of predicting the future.
We may not be able to say the same for your smartphone.
Researchers at the University of Birminghamin England have reportedly created an algorithm that may soon enable your mobile device to accurately predict where you are going to be.
It sounds like a scene taken from Minority Report , but there's a caveat you may not find as exciting: the algorithmspies on your friends in order to connect the dots.
"To be more precise, not only does it analyze your own mobility patterns, but it also extrapolates from similar data collected from the peoplein your social circle to identify any divergences from the routine," explains Jan Belezina in a Gizmag report. "The assumption here is that there is a strong correlation between the habits and mobility routines of friends, friends being defined as people who have each other on their contact lists."
So let's say you regularly hit the gym on Thursdaysaround 7 p.m. On Wednesday night, a standard algorithm couldeasily assume that's where you'll be in 24 hours time, but this weekyou've decided to go shopping on Thursday night. The socialized algorithm, after scanning those in your smartphone's contact list,knows that your closest friends are not planning to join you at the mall. And because your shopping has not been dubbed a social activity — as opposed to a party that your friends are planning to attend — thealgorithm understands that you're likely to hit the gym as you normally would once you've left the mall.
It's a tough concept to explain, but after conducting experiments on some 200 subjects, researchers found the algorithm could predict where a subject will be in24 hours time within lessthan 20 metres. The average margin of error grew to approximately 1 km when the algorithm was stripped of its social component.
"Mirco Musolesi, the headof the team behind the study, points out that the200 people who were willing to be tracked overan 18-month period maynot reflect the general population," reveals Belezina in the Gizmag story . "However, Mirco sees the benefit of the study in that it 'exploitedthe synchronized rhythm of the city' for enhanced predictive capabilities."
Researchers have obviously spotted the potential of this algorithm, and you can bet mobile networks abroad have taken noticeas well. As Belezina mentions, an algorithm capable of accurately predicting a smartphone user's future location could allow such networks to improve tailored advertisements and personalized recommendations to mobile devices.
But such ingenuity is sureto spawn a whole new slate of privacy issues. Just as the plot of Minority Report asked whether a man can be guilty of a crime he has yet to commit, can information pertaining tosomething you are yet todo still be deemed private?
"However we deal with these kinds of questions, one hopes the algorithm will be used for something more interesting and useful than serving up better targeted ads," shares Belezina. "Dynamic trafficcontrol and clever power distribution grids spring to mind."

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Where can i get it? Jonzing

Coming to theatres near you, summer 2099

SimonAndal: Coming to theatres near you, summer 2099

i no do again..i go create my own