Udacity's Sebastian Thrun interviewed Facebook's Director of AI
Research, Yann LeCun, in a live event that took place on November 1st.
You can still catch it on Udacity's Facebook page and here a brief
Spanning just over 18 minutes, this was a short talk, but otherwise satisfactory that approached the topic of AI under an abstract perspective, keeping technicalities and jargon talk to a minimum so that anyone can follow
full article on i-programmer
At last, a guide that makes creating a language with its associated baggage of lexers, parsers and compilers, accessible to mere mortals, rather to a group of a few hardcore eclectics as it stood until now. The first thing that catches the eye, is the subtitle: The unix philosophy applied to language design, for GPLs and DSLs" What is meant by "unix philosophy" ?. It's taking simple, high quality components and combining them together in smart ways to obtain a complex result; the exact approach the book adopts. I'm getting ahead here, but a first sample of this philosophy becomes apparent at the beginnings of Chapter 5 where the Parser treats and calls the Lexer like unix's pipes as in lexer|parser. Until the end of the book, this pipeline is going to become larger, like a chain, due to the amount of components that end up interacting together. The book opens by putting things into perspective in Chapter 1: Motivation: why do you want