Kristen Stewart – the actress best known for "Twilight" – has co-written a paper on machine learning. The paper outlines the use of neural style transfer in Stewart's directorial debut, "Come Swim", which is about to premiere at Sundance Film Festival. Neural style transfer turns normal images into impressionist art, and is used by popular photo app Prisma. The paper, first spotted by Quartz, is co-bylined with Adobe research engineer Bhautik J. Joshi and producer David Shapiro. It was published yesterday on ArXiv, a repository run by Cornell University for scientific papers that are not yet peer-reviewed.

If you use your credit card to buy a latte in Vancouver and a couple of minutes later that card is making a purchase in Singapore, that's a red flag for fraud. But increasingly sophisticated fraud calls for more sophisticated measures to deal with it, and that is among the challenges behind RBC Research's announcement today that it is launching a new lab to explore the use of artificial intelligence and machine learning in the financial sector. Richard Sutton, a computer scientist and pioneer in artificial intelligence, has been named head academic advisor to RBC Research in machine learning. The new lab will work with the Alberta Machine Intelligence Institute at the University of Alberta, where Sutton is a professor. Foteini Agrafioti, head of RBC Research, which was launched last fall in Toronto, said the announcement will help her organization to play a major role in advancing AI research in the future of banking. Agrafioti said that as the complexity of fraud evolves over time, it becomes increasingly difficult to detect it.

Scientists have pulled inspiration from snakes to help robots detect when humans are near. The heat-sensing film has the ability to detect tiny temperature changes, and was inspired in the sensors a viper uses its skin to find prey. Researchers foresee this technology being used by search and rescue robots in order to locate humans in disaster zones. Scientists have pulled inspiration from snakes to help robots detect when humans are near. The heat-sensing film is a flexible, transparent coating made of pectin.

Somewhere around 1973, I watched the movie, Westworld; a science fiction story set in 1983 (that was the future then), where a robot malfunction creates havoc and terror for unsuspecting vacationers at a futuristic, adult-themed amusement park. It was one of the earlier films dealing with the issue of where you draw the line between what is real and what is not, and what could possibly go wrong. In this case, one robot (played by Yul Brynner) becomes independent of the controls embedded in the technology, which turns out to be the equivalent of a virus that ultimate affects the entire robot population, and complete mayhem breaks out. If you watch any of the HBO series, a newer version of Westworld is now playing, expanding on the idea from the original movie, but taking it even further into the area of artificial intelligence by empowering the robots with an ability to understand, reason, learn, and engage with humans as though they too are human -- making it almost impossible to tell the difference. Let's jump into our reality and think about the prospect of a work-related version of Westworld, where computers armed with artificial intelligence or machine learning, take over the human role; because that's a real fear in the mind of many people, "when will they replace me with a computer?"

As soon as you approach Pepper, a four-foot-tall robot, she starts sizing you up. Thanks to facial recognition capabilities, Pepper can determine your gender and age bracket. And as you begin asking her questions, she can draw from a vast volume of cloud-based information to give what she thinks are relevant answers. If you smile, she can tell the conversation is going well and that you're finding her answers helpful. If you don't, she might ask you if she's misunderstanding your requests.

The paper outlines the use of neural style transfer in Stewart's directorial debut, "Come Swim", which is about to premiere at Sundance Film Festival. Neural style transfer turns normal images into impressionist art, and is used by popular photo app Prisma. The paper, first spotted by Quartz, is co-bylined with Adobe research engineer Bhautik J. Joshi and producer David Shapiro. It was published yesterday on ArXiv, a repository run by Cornell University for scientific papers that are not yet peer-reviewed. "Come Swim" describes itself as "half realist, half impressionist portraits" of one man's day.

Kristen Stewart, best known for her role as Bella in the Twilight saga, has co-authored a paper on machine learning. It details her use of a technique known as'style transfers' for select scenes in Come Swim, a short film that will be shown at Sundance and marks her directorial debut. The process has become popular with apps such as Prisma, which allow the user to apply filters in the style of famous paintings. At its core, the system relies on deep neural networks to identify the "content" of your photo and the "style" of another, blending them together into a completely new image. Stewart and her team used style transfers to create some unusual, dream-like sequences in the film.

Discussions about artificial intelligence (AI) invoke blank stares or robot take-over fears. We've created a caricature that inhibits real conversation and actually diminishes what AI is already doing for us in our everyday routines. It's Spotify or Pandora choosing our next song; it's Google crawling the internet for the best search results; or it's Amazon suggesting the best thing to buy. In other words, the robots are already here. Hollywood has fun scaring us with world-dominating machines whose mental capacity grows well beyond any human's, but the reality of AI is, it's been the not-so-scary backbone of innovation for decades.

Here's a sentence you don't get to read everyday: Kristen Stewart has surprised the artificial intelligence community by publishing a paper on machine learning. The Twilight actress recently made her directorial debut with the short film Come Swim, and in it used a machine learning technique known as "style transfer" (where the aesthetics of one image or video is applied to another) to create an impressionistic visual style. Along with special effects engineer Bhautik J Joshi and producer David Shapiro, Stewart has co-authored a paper on this work in the film, publishing it in the popular online repository for non-peer reviewed work, arXiv. Once more: Kristen Stewart of Twilight fame directs movie; writes arXiv paper about using StyleNet during production https://t.co/NZ4I1yhQUN To be someone in Hollywood, you've got to put your ML papers on Arxiv and you better use TensorFlow... https://t.co/2Rcg1ccJ36

In between starring in a Rolling Stones music video, being a full-time celebrity and gearing up to premiere her directorial debut Come Swim, Kristen Stewart managed to find the time to co-author a paper on artificial intelligence. SEE ALSO: Here's why those tech billionaires are throwing millions at ethical AI The paper, titled Bringing Impressionism to Life with Neural Style Transfer in Come Swim, tackles the artistic elements of artificial intelligence used in her upcoming film, and was co-authored along with the film's producer and a research engineer from Adobe. Published on online archive arXiv, the paper lets the three authors reveal the methodologies used behind the Neutral Style Transfer, a new technique that takes "neural networks to artistically redraw an image in the style of a source style image." Essentially it is taking the artistic elements of an image and transfer it to another image, all in film post-production. While Come Swim isn't widely available yet, the film (which was also written by Stewart) does revolve around a man's day through impressionist and realist portraits--making this the perfect film to explore this burgeoning technology.