Remember when Tony Stark was talking to his intelligent computer in Iron Man and Iron Man 2? The digital computer voice that at times gives Tony Stark a good quarrel in a conversation, though barely. Sometimes when thinking logically, voice recognition has always been a big problem in talking to a computer, what more to say to build a computer intelligent enough to talk back in a split second with nearly no loading time. The computer had to be a supercomputer with insane computing power. Now somebody actually made a computer that can talk “intelligently” with humans.
Engineers over at IBM had been hard at work to design a supercomputer, with a target, that is to win at Jeopardy. The project is called “Watson”. Due to the fundamentals of Jeopardy, which puts wordplay and puns into reverse-questionings, Watson had to contain a humongous library of not only facts, but how daily language is used in a day-to-day basis, with the twist and turns. This means that Watson had to have the computing power to analyze zillions of algorithms in split seconds.
“Watson’s speed allows it to try thousands of ways of simultaneously tackling a “Jeopardy!” clue. Most question-answering systems rely on a handful of algorithms, but Ferrucci decided this was why those systems do not work very well: no single algorithm can simulate the human ability to parse language and facts. Instead, Watson uses more than a hundred algorithms at the same time to analyze a question in different ways, generating hundreds of possible solutions. Another set of algorithms ranks these answers according to plausibility; for example, if dozens of algorithms working in different directions all arrive at the same answer, it’s more likely to be the right one. In essence, Watson thinks in probabilities. It produces not one single “right” answer, but an enormous number of possibilities, then ranks them by assessing how likely each one is to answer the question.”
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