SoundCloud is built for discovery; for the magic moment when you're blown away by an artist you've never heard before. Connecting listeners to new artists and artists to new listeners is what we do. Today we're excited to announce that we've started rolling out our newest discovery feature, Suggested Tracks, across all SoundCloud platforms. It uses your listening activity to automatically find new tracks and artists – ones that you've likely never heard before, but are similar to the things you already know and love. And with 125 million tracks and counting on SoundCloud, there's always more to discover.

A big challenge in algorithmic composition is to devise a model that is both easily trainable and able to reproduce the long-range temporal dependencies typical of music. Here we investigate how artificial neural networks can be trained on a large corpus of melodies and turned into automated music composers able to generate new melodies coherent with the style they have been trained on. We employ gated recurrent unit networks that have been shown to be particularly efficient in learning complex sequential activations with arbitrary long time lags. Our model processes rhythm and melody in parallel while modeling the relation between these two features. Using such an approach, we were able to generate interesting complete melodies or suggest possible continuations of a melody fragment that is coherent with the characteristics of the fragment itself.

If you're a child of the '80s like me, you might recognize this famous line from the movie WarGames. This innocent-sounding question comes not from one of the movie's human stars, but from a military super-computer named Joshua, after a bored high school student, played by Matthew Broderick, accesses the computer's hard drive. Thinking he's hacked into a video game company, Broderick's character accepts Joshua's challenge and chooses the most intriguing game he can find: global thermonuclear war. Joshua is an intelligent computer programmed to learn through simulations like the one Broderick's character initiates. And because the computer actually does control the arsenal of U.S. nuclear weapons, it's a "game" that puts the planet on the brink of World War III.

Nearly every music streaming service has a feature that gives you new music to listen to based on audio habit. Spotify has Discover Weekly, Pandora compiles a custom station and Apple Music is making recommendations a big part of its redesign for iOS 10. SoundCloud is looking to offer a similar tool with its new Suggested Tracks section. The company says the picks come from its "state-of-the-art machine learning algorithm" that keeps tabs on your likes and plays on the web and through the mobile apps. While SoundCloud doesn't specify how often the list is updated ("frequently"), it did explain that there's a good chance the some of the new music won't be found on any other service.

The Television Critics Assn. is a media organization consisting of 200 professional TV critics and journalists from the United States and Canada. The awards will be held Aug. VidCon, the annual video star convention, has gotten so big it's expanding globally

For most people, housework is the absolute worst, and it's kinda weird how in 2016, we still don't have anything remotely like Rosie the robot maid, who vacuumed the hell out of the Jetsons' house. Well, it might finally be our time, because multitasking entrepreneur Elon Musk just announced that his new robotics firm, Open AI, will be developing'domestic robots' that can perform basic household chores. To accelerate the process, Open AI will be developing the robots based on technology that already exists - basically, it's going to be taking off-the-shelf robots and customising them to do housework. "There are existing techniques for specific tasks, but we believe that learning algorithms can eventually be made reliable enough to create a general-purpose robot," Open AI says in a blog post. Open AI launched back in December 2015, and is headed up by Musk and Sam Altman, president of Y Combinator - a US company that provides seed funding for startups.

The full information about Work Awesome is on the dedicated site. WORK AWESOME is here to connect you with the most inspiring people and thought-provoking insights into what work will be like tomorrow. And what are the learnings of self-organizing, hierarchy-abandoning firms? Charlene Johnson-Hadley, Executive Chef, Samuelsson's American Table Café and Bar Dan Charnas, Journalist, "Work Clean - The life-changing power of mise-en-place to organize your life, work, and mind" Moderator: Sam Sifton, Food Editor, The New York Times Dennis R. Mortensen, CEO, x.ai Chris Wiggins, Chief Data Scientist, The New York Times How do we make the best out of it. Jeff Wald, Co-founder, Work Market John Vars, CPO, Taskrabbit Devin Fidler, Director, Institute for the Future; Co-founder, Rethinkery Labs Steven Hill, "Raw Deal: How the "Uber Economy" and Runaway Capitalism Are Screwing American Workers" Moderator: Neil Irwin, Senior Economics Correspondent, The New York Times And can we do without it?

There are a few places where you can find Siri in macOS, and each feels intuitive. For starters, you'll find the familiar purple Siri shortcut in the Dock, right next to Finder. That lower-left corner is the same place we already expect to find Cortana on Windows 10. If you like, though, Siri also lives in the tray, in the upper-right area of the screen, right next to where the search bar already lives. Or -- and this is my personal favorite -- you can use the keyboard shortcut Fn-spacebar to bring it up without using your cursor.

Last week, at the annual news extravaganza/coding demo/Beats 1 jam sesh that is WWDC, Apple launched a new version of its desktop operating system. There was a funny slide about naming conventions, another California-centric name (Sierra) and a bunch of new features. And Craigy With The Good Hair announced a small but long overdue change: Mac OS X is now called macOS. One day after the event, not two minutes after booting up a MacBook Pro that Apple pre-loaded with a preview build of macOS Sierra, I asked Siri some existential questions. Then I asked which version of OS X she was running, expecting a gentle chiding about macOS and silly questions.

Do you get squeamish when someone dies on Game of Thrones? Or maybe you're worried your favorite character is about to get killed, and you can't bear to watch. Researchers at MIT have developed an algorithm that can predict what's going to happen next in a video, giving you an opportunity to look away first. The algorithm, developed at MIT's Computer Science and Artificial Intelligence Laboratory, is slowly trying to learn a skill that humans spend their entire lives refining and perfecting. Through countless interactions and experiences with others, we're able to accurately predict what will happen when two people meet or depart--be it a handshake, a hug, or a kiss.