from the world's big
MIT and Google researchers use deep learning to decipher ancient languages.
- Researchers from MIT and Google Brain discover how to use deep learning to decipher ancient languages.
- The technique can be used to read languages that died long ago.
- The method builds on the ability of machines to quickly complete monotonous tasks.
Noam Chomsky on Language’s Great Mysteries<div class="rm-shortcode" data-media_id="vNckMPvp" data-player_id="FvQKszTI" data-rm-shortcode-id="c638b32c9b3acd20359340570c9acfd1"> <div id="botr_vNckMPvp_FvQKszTI_div" class="jwplayer-media" data-jwplayer-video-src="https://content.jwplatform.com/players/vNckMPvp-FvQKszTI.js"> <img src="https://cdn.jwplayer.com/thumbs/vNckMPvp-1920.jpg" class="jwplayer-media-preview" /> </div> <script src="https://content.jwplatform.com/players/vNckMPvp-FvQKszTI.js"></script> </div> Noam Chomsky contemplates the basic, yet still unanswerable, questions of linguistics.
A study surveyed 821 people to find the funniest words in the English language.
Sure, the old Greek guys from 2,400 years ago get all the glory. But these living philosophers have a ton to say about life, the universe, and everything as it relates to right now.
A study analyzes the relationship between how fast people speak and how much information they actually relate.
Do you take your time when you speak, thinking out each word to make sure it’s the most appropriate in that situation? Or do you speak two hundred words a minute, blanketing listeners with your ideas? Either way, you would probably get across the same amount of information in the same amount of time. That’s the conclusion of a new study from Brown University.