Machine Learning Moves Popular Data Elements Into A Bucket Of Their Own
If you look under the hood of the internet, you’ll find lots of gears churning along that make it all possible.
For example, take a company like AT&T. They have to intimately understand what internet data are going where so that they can better accommodate different levels of usage. But it isn’t practical to precisely monitor every packet of data, because companies simply don’t have unlimited amounts of storage space. (Researchers actually call this the “Britney Spears problem,” named for search engines’ long-running efforts to tally trending topics.) READ MORE ON: MIT NEWS