Engel and Resnick are part of Google Magenta—a small team of AI researchers inside the internet giant building computer systems that can make their own art—and this is their latest project. It’s called NSynth, and the team will publicly demonstrate the technology later this week at Moogfest, the annual art, music, and technology festival, held this year in Durham, North Carolina.
When the writer Rebecca Forster first heard how Google was using her work, it felt like she was trapped in a science fiction novel. “Is this any different than someone using one of my books to start a fire? I have no idea,” she says. “I have no idea what their objective is. Certainly it is not to bring me readers.”
After a 25-year writing career, during which she has published 29 novels ranging from contemporary romance to police procedurals, the first instalment of her Josie Bates series, Hostile Witness, has found a new reader: Google’s artificial intelligence.
“My imagination just didn’t go as far as it being used for something like this,” Forster says. “Perhaps that’s my failure.” Forster’s thriller is just one of 11,000 novels that researchers including Oriol Vinyals and Andrew M Dai at Google Brain have been using to improve the technology giant’s conversational style. After feeding these books into a neural network, the system was able to generate fluent, natural-sounding sentences. READ MORE: Google swallows 11,000 novels to improve AI’s conversation | Books | The Guardian
IBM Watson can add yet another skill to its resume: the ability to make movie trailers. 20th Century Fox has tapped into the supercomputer’s powers to create the first AI-made trailer for its upcoming thriller film Morgan. It’s a fitting start for Watson’s trailer-making career. Morgan is, after all, a sci-fi flick about a group of scientists who created a humanoid machine that rapidly gained capabilities and went out of control. READ MORE: Watson helped make a trailer for a horror movie about AI | engadget
Artists beware! AI is coming for your paintbrush too… A new iOS app, called Prisma, is using deep learning algorithms to turn smartphone photos into stylized artworks based on different artwork/graphical styles.
Earlier this month Google’s software engineer Andrew Dai explained to BuzzFeed News that the genre’s formulaic approach to storytelling makes it ideal for machine learning. They hit a sweet spot between the labyrinthine, meandering sentences found in literary fiction, and the less elevated language used in kids’ books.
This has to be one of the most awesome headlines I have ever seen while curating news for this blog! 🙂
For the past few months, Google has been feeding text like this to an AI engine — all of it taken from steamy romance novels with titles like Unconditional Love, Ignited, Fatal Desire, and Jacked Up. Google’s AI has read them all — every randy, bodice-ripping page — because the researchers overseeing its development have determined that parsing the text of romance novels could be a great way of enhancing the company’s technology with some of the personality and conversational skills it lacks.
The fairy tale performs many functions. They entertain, they encourage imagination, they teach problem-solving skills. They can also provide moral lessons, highlighting the dangers of failing to follow the social codes that let human beings coexist in harmony.
Such moral lessons may not mean much to a robot, but a team of researchers at Georgia Institute of Technology believes it has found a way to leverage the humble fable into a moral lesson an artificial intelligence will take to its cold, mechanical heart. READ MORE: Fairy tales teach robots not to murder | CNET
For the past few months, a “very large fraction” of the millions of queries a second that people type into the company’s search engine have been interpreted by an artificial intelligence system, nicknamed RankBrain, said Greg Corrado, a senior research scientist with the company, outlining for the first time the emerging role of AI in search. RankBrain uses artificial intelligence to embed vast amounts of written language into mathematical entities — called vectors — that the computer can understand. If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries. READ MORE: Google Turning Its Lucrative Web Search Over to AI Machines | Bloomberg