Word: algorithmic
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Datamatch may be the hottest thing at Harvard (except maybe your significant other) around this time of year. Using an algorithm that's now over a decade old, the service, which attracted over 600 newly registered users within less than a day of its release on Wednesday, helps matchless folk at Harvard find true love. Or so it claims...
...science, Li became a consultant for IDD in 1994, then a financial-database company that was a subsidiary of Dow Jones. Even then, Li says, he was "intrigued with search," long before it became the hugely powerful, money-spinning machine that it is today. At IDD he developed an algorithm that ranked the popularity of various websites. He then got recruited by Infoseek, a company that had developed one of the first search engines in the mid-'90s - only to see Walt Disney acquire the company and shift its focus. (Yes, the Mouse House could have been Google before Google...
...principle behind face detection is relatively simple, even if the math involved can be complex. Most people have two eyes, eyebrows, a nose and lips - and an algorithm can be trained to look for those common features, or more specifically, their shadows. (For instance, when you take a normal image and heighten the contrast, eye sockets can look like two dark circles.) But even if face detection seems pretty straightforward, the execution isn't always smooth. (See the 50 best inventions...
...drag everything they own onto the plane: laptops, briefcases, suitcases, knapsacks, duffel bags, shopping bags, body bags, guitars, plants, animals, minerals and vegetables. And those are just the first 12 passengers to board. The airlines board people either by rows, back-to-front or according to an algorithm that is devised to spread people and their stuff around the plane in an orderly manner. Except that an algorithm has never rushed the gate the moment a flight is called, because if it were to, I'd throw an elbow. Whatever the sequence, loading the overhead bins on a fully booked...
Published online Thursday in the journal Science Express, the paper describes a new algorithm that can identify mutations with a much higher resolution. The method, called "Composite of Multiple Signals", assigns a score to every mutation in a region and then ranks the probability of each mutation influencing the selection of particular traits...