Robots have mastered the art of handwriting

Former University of Toronto researcher's neural network even makes mistakes

Image | Robot writing

Caption: Alex Graves' artificial neural network mimics human handwriting, as demonstrated above.

These days, the pesky digital revolution is ruining(external link) the art of handwriting (along with the art of calculator-free math, the art of spelling and the art of renting DVDs). Computers, meanwhile, are getting good at everything we're getting bad at – including handwriting.
As Vice Motherboard reports(external link), Alex Graves, a former researcher at University of Toronto, developed an artificial neural network(external link) (a brain-like computer model, essentially) that can randomly generate writing styles that look pretty much indistinguishable from human handwriting, errors included.
A demonstration is available online(external link), and it's not hard to use: enter text and receive human-looking writing. Increasing the "bias" dial makes the writing more legible, like an overeager high school student's writing; decreasing it makes the writing as idiosyncratic as a mad scientist's. A thorough explanation for how the process works, along with math that nobody understands, is here(external link).
The future applications of this particular neural network (beyond making ransom notes easier) are unclear. The good news is that humans are still adept at using writing for artsy purposes: this light calligraphy(external link) by French artist Julien Breton is pretty awesome.