Google has been improving its Home devices for a while now. The company added better search, upgraded the Home app interface and enabled an intercom feature last November. It can also now match your voice to your own Netflix profile, too, a feature that builds upon Home's multiple voice recognition system. Now Google has added an update that adds a voice-powered alarm function and makes it a bit easier to find shows and music with your Home devices. If you link your Netflix account with Google Home, you can tell it to watch any of the streaming platform's shows with a voice command.

Hello Everyone I am electronics and computer engineering student interested in machine learning. Together with other students we have to decide on semester project theme and present it to supervisor. I would like to work on analog neural network accelerator but I have to present how the "problem" which aforementioned device solves is relevant to industry or society. For example that artificial neural networks require substantial amount of power to operate and there is potential to reduce it. Or that there is raising demand for NN accelerators.

The news professionals are talking about now, curated by LinkedIn's editors. Waymo's self-driving cars logged the most miles of all driverless vehicle companies in California, according to a report from the state's DMV. Waymo drove 352,545 miles in the year ending in November 2017 (roughly 50% less than the year prior, due to shifting much of its fleet to Phoenix). In second place, GM's Cruise division logged 131,676 miles. "This is still Waymo (née Google) and GM's party, and everyone else is playing catch-up," says The Verge.

Hoy traemos a este espacio a Make Music and Art Using Machine Learning, que nos presentan así; About Magenta Magenta is a Google Brain project to ask and answer the questions, "Can we use machine learning to create compelling art and music? Our work is done in TensorFlow, and we regularly release our models and tools in open source. These are accompanied by demos, tutorial blog postings and technical papers. To follow our progress, watch our GitHub and join our discussion group. It's first a research project to advance the state-of-the art in music, video, image and text generation. So much has been done with machine learning to understand content--for example speech recognition and translation; in this project we explore content generation and creativity. Second, Magenta is building a community of artists, coders, and machine learning researchers. To facilitate that, the core Magenta team is building open-source infrastructure around TensorFlow for making art and music. This already includes tools for working with data formats like MIDI, and is expanding to platforms that help artists connect with machine learning models Douglas Eck Education Innovation Human-Computer Interaction and Visualization Information Retrieval and the Web Machine Intelligence Natural Language Processing Co-Authors I'm a research scientist working on Magenta, an effort to generate music, video, images and text using machine intelligence. Magenta is part of the Google Brain team and is using TensorFlow (www.tensorflow.org), The question Magenta asks is, "Can machines make music and art?

Fake porn videos claiming to show celebrities are being deleted from the internet. The footage – which has become infamous in recent weeks – can be made relatively simply, using just a simple application and some artificial intelligence. But they produce entirely convincing videos that are almost indistinguishable from real ones, allowing celebrities to be easily photoshopped into other footage. In large part, that technology is being used to put celebrities' faces into adult videos, allowing people to claim that the footage shows famous people making pornographic films. Now Gfycat, the San Francisco tech company that has hosted many of the videos, has said the posts are "objectionable" and that it will be removing them from the internet.

Readers of 20 regional newspapers in the UK have been unwittingly involved in what was called a first for journalism. At the end of 2017, a bunch of stories published in these dailies and weeklies were written by algorithms, rather than humans. The stories reported on trends in birth registrations across the UK drawn from data from the Office of National Statistics, such as how many children were registered by married, cohabiting or single parents. But each individual story gave the figures a local twist. The trial was part of a project by Press Association, the UK's equivalent of The Canadian Press news service.

Altered Carbon, a maximalist cyberpunk series arriving on Netflix this Friday, is the story of Takeshi Kovacs, a half-Japanese, half-Slavic fighting machine who, after being unconscious for 250 years--more on the logistics shortly--is revived in the body of a white cop. This is a particularly complicated version of whitewashing, the Hollywood habit of casting white actors in historically nonwhite roles, insofar as Altered Carbon is based on a novel by Richard K. Morgan, in which an Asian man is stuck in the body of a white man and not happy about it. "I stared into a fragmented mirror at the face I was wearing as if it had committed a crime against me," Kovacs says in the book, after seeing his new visage for the first time. Altered Carbon is not Ghost in the Shell, the boondoggle of a film in which a (cybernetic) Asian character was played by Scarlett Johansson. In flashbacks, Kovacs is played by the Asian actor Will Yun Lee, and in future seasons the character may be played by a nonwhite actor.

Pornographic videos that used new software to replace the original face of an actress with that of a celebrity are being deleted by a service that hosted much of the content. San Francisco-based Gfycat has said it thinks the clips are "objectionable". The creation of such videos has become more common after the release of a free tool earlier this month that made the process relatively simple. The developer says FakeApp has been downloaded more than 100,000 times. It works by using a machine-learning algorithm to create a computer-generated version of the subject's face. To do this it requires several hundred photos of the celebrity in question for analysis and a video clip of the person whose features are to be replaced.

A simple young farmboy gets a magic sword from an old wizard so he can defeat an evil knight, rescue a princess, and save the world. Granted, they don't always do it with knights. Sometimes the farmboy is a farmgirl. Sometimes the wizard is a scientist and sometimes the evil knight is a dragon or a cyborg. But Lucas knew all that. He was a Northern California kid who grew up watching movies and racing cars, a tyro moviemaker at a moment when American film had become very serious. The movies of the 1970s had genre goofs like The Exorcist and Rocky, but the gold-standard stories of were adult things about violence, sexuality, and the treachery of dreams. Heroes in these movies lost--like, all the time. Sometimes the whole movie got you to like bad guys, and sometimes they died anyway!

The woman in the photo seems familiar. She looks like Jennifer Aniston, the "Friends" actress, or Selena Gomez, the child star turned pop singer. But not exactly. She appears to be a celebrity, one of the beautiful people photographed outside a movie premiere or an awards show. And yet, you cannot...