The W3C mission is to lead the World Wide Web to its full potential by developing protocols and guidelines that ensure the long-term growth of the Web. Below we discuss important aspects of this mission, all of which further W3C’s vision of One Web.
The World Wide Web Consortium (W3C) is an international community that develops openstandards to ensure the long-term growth of the Web.
W3C maintains an internationally distributed network of servers and services that support Public, Member, and Team audiences in pursuit of the Consortium’s technical and social objectives.
Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text.
It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, mail, or any number of printed records. It is crucial to the computerization of printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech and text mining.
OCR is a field of research in pattern recognition, artificial intelligence and computer vision.
Early versions needed to be programmed with images of each character, and worked on one font at a time. “Intelligent” systems with a high degree of recognition accuracy for most fonts are now common. Some systems are capable of reproducing formatted output that closely approximates the original scanned page including images, columns and other non-textual components.
via Optical character recognition – Wikipedia, the free encyclopedia.
Whole brain emulation or mind uploading (sometimes called mind transfer) is the hypothetical process of transferring or copying a conscious mind from a brain to a non-biological substrate by scanning and mapping a biological brain in detail and copying its state into a computer system or another computational device.
Hashtags at their best stand in as what linguists call “paralanguage,” like shoulder shrugs and intonations.
That’s fine.
But at their most annoying, the colloquial hashtag has burst out of its use as a sorting tool and become a linguistic tumor—a tic more irritating than any banal link or lazy image meme.
The hashtag is conceptually out of bounds, being used by computer conformists without rules, sense, or intelligence, a like yknowwwww that now permeates the internet outside of the tweets it was meant to corral. It pervades Facebook, texting, Foursquare—turning into a form of “ironic metadata,” as linguist Ben Zimmer of The Visual Thesaurus labels it.
via How the Hashtag Is Ruining the English Language (Updated).
When Ethan Marcotte coined the term “responsive web design” he conjured up something special. The technologies existed already: fluid grids, flexible images, and media queries. But Ethan united these techniques under a single banner, and in so doing changed the way we think about web design.
I’m not invoking the Sapir Whorf hypothesis here, I just wanted to point out how our language can—intentionally or unintentionally—have an effect on our thinking.