Deep Learning Gets a Foundation

It's a well-worn path that's followed when new technology comes around. It often starts in universities or large companies with big research budgets and an appetite for taking chances. There the new thing can be sussed out by patient students or engineers not graded on productivity and not facing a tape-out or go-to-market deadline. While they're willing to struggle along, knowing that they might be on the cusp of something great, at some point, the tedious aspects of making the new technology work become… well… tedious. And so they cobble together rough-and-ready tools that will save them some work.