Micro-search by Mini-Gates
- Last Updated on Wednesday, 13 June 2012 21:04
Nicholas Schiefer or might I call him, “Mini-Gates” was awarded the “Young Scientist Award” at the Intel Foundation just last week for an idea to developing the next Google for the social-media world.
Claiming he was self-taught due to an inspiration from back when he was Six years old using the Google Search-Engine mentioning that it was a “magical” moment considering he had just finished reading the Harry Potter series, might I add that this is already an accomplishment for a child. Schiefer goes on explaining that he believes the search-engine is the most visible part of the artificial intelligence in our daily lives because it has to decipher what we type in the search box and retrieve the data we are really looking for.
The 'micro-search' Schiefer developed was inspired by the Markov chain, which is what really helped Schiefer make his idea become “real”. Named after Andrey Markov, the Markov chain is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. Markov chains have many applications as statistical models of real-world processes.
To the right is a simple two-state Markov chain.