The world of executive search and recruitment is on course for a radical shakeup courtesy of artificial intelligence (AI).

Science has already begun to explore the potential of artificial intelligence (AI) in medical applications.

This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in terms of accuracy and sound quality, and the current challenges, such as availability of data and computing resources. We also discuss the impact that these advances do and will have on listeners and singers when they are integrated in commercial applications.

This paper from Graves et al is a cool extension of Variational Autoencoders. I found no existing implementation so I wrote one in pytorch.

Scientists at MIT have created an AI psychopath trained on images from a particularly disturbing thread on Reddit. Norman is designed to illustrate that the data used for machine learning can significantly impact its outcome. "Norman suffered from extended exposure to the darkest corners of Reddit, and represents a case study on the dangers of Artificial Intelligence gone wrong when biased data is used in machine learning algorithms," writes the research team. Norman is trained on image captioning, a form of deep learning that lets AI generate text descriptions of an image. Norman learned from image captions of a particularly disturbing subreddit, dedicated to images of gore and death.

Phil Rosenthal, the host of Netflix's "Somebody Feed Phil," meets Jefferson Graham for lunch, and reveals his top 3 favorite destinations in the world. Phil Rosenthal is the star of Netflix's travel documentary series "Somebody Feed Phil" (Photo: Jefferson Graham) LOS ANGELES -- At age 58, Phil Rosenthal finally has a website, https://www.philrosenthalworld.com The star of Netflix's globe-trotting "Somebody Feed Phil," travel documentary series had a previous life as the co-creator of "Everybody Loves Raymond," and was happy to have people look him on his IMDB page. But now that he's got a second act as an internet video star, with "Phil," he realized he needed more, as his fans were demanding it. "They would sit with a pencil, writing the names of the places we visited as the show was on," says Rosenthal.

Westworld just wrapped up its second season on HBO, and even after 20 episodes, fans of the show like science fiction editor John Joseph Adams are still no closer to understanding how the show's guns are able to kill robots but not humans. "The creators must have some idea how these guns work," Adams says in Episode 316 of the Geek's Guide to the Galaxy podcast. I want to know what they think, how they work. Because it doesn't make any sense to me." Season 2 includes a passing reference to "sim bullets," which makes Geek's Guide to the Galaxy host David Barr Kirtley think that there must be something special about the bullets themselves. "Maybe all the bullets have little incendiary things in them that cause them to self-destruct if they're flying in the direction of a guest," he says. "But in one scene they just hold the gun right against someone's chest, and I don't see how the bullet's not going to kill you from that range, even if it is sort of programmed to self-destruct." Writer Sara Lynn Michener wonders if maybe it's the guns that are special rather than the bullets. "You can have a gun that has paintball bullets in it, and you can have a gun that has real bullets in it," she says, "and the gun determines, 'All right, who am I aiming at?', and decides which bullet to release based on that." But science fiction author Anthony Ha says that even if there is an explanation for how the guns work, he still doesn't understand how humans are kept safe from other weapons such as arrows and axes. "It definitely drives me crazy," he says. "Do they have safeties on the swords here too?