first_imgLet us know what you like about Geek by taking our survey. While video games are great for bringing people together, there are times when you may want to play them without disturbances. The PlayStation 4 has had the ability for players to appear offline for some time now. This hasn’t been the case on Xbox One. If you’re connected to the internet, folks can see you and hit you up. The Xbox One is getting a number of new additions soon, and one of them is a “do not disturb” feature. Finally, players can enjoy playing games in peace.Selecting “do not disturb” prevents other players from sending you messages, party invites, or any other notification while you’re online. You will of course still receive all of these notifications; you just won’t see them pop up on the screen while you’re playing. Anyone who is signed up to the Xbox Insider beta can try the feature out right now. Users not in the beta should get the feature sometime in the near future.Another neat feature coming to the Guide is “Next Achievement.” Now, users will get to view and sort a cross-game list of upcoming achievements. You can see which achievements you’re closest to getting and quickly jump into a game to nab them. Mini Game Hubs will be available right in the Guide, allowing you to see friends who are currently playing, upcoming achievements, group posts, and more. You can see the full list of new features over on Xbox.com.On PS4, I almost always have it set to “offline,” so it’ll be nice to finally have this type of feature on Xbox One. It’s not that I don’t want to interact with others, but it always seems folks want to hit me up when I’m in the middle of a boss fight or big narrative scene. I’m sure users with a lot of people on their friends list will appreciate the “do not disturb” feature as well. Hands-On: ‘Stranded Sails’ Is a Relaxing Farm Sim AdventureHands-On: ‘Sparklite’ Is a Fun Zelda-Inspired Roguelike center_img Stay on targetlast_img read more


first_img Another week, another step closer to the robot revolution: Researchers at NVIDIA are teaching bots to complete tasks by simply observing humans.The team, led by Stan Birchfield and Jonathan Tremblay, developed a deep learning system to “enhance communication between humans and robots.”Using NVIDIA Titan X GPUs, researchers trained a series of neural networks to execute actions based on a single real-world demonstration.“In order for robots to perform useful tasks in real-world settings, it must be easy to communicate the task to the robot; this includes both the desired end result and any hints as to the best means to achieve that result,” a recently published paper said.Live video of a scene—someone stacking colored cubes, for instance—is fed into the neural network, which infers the positions and relationships of objects; another machine then generates a plan to recreate those perceptions.Finally, an execution network reads that proposal and generates an intelligible description of steps, which a user can edit directly before the android even moves. Let us know what you like about Geek by taking our survey. Evan Rachel Wood Just As Disturbed by Humanoid Sophia As Everyone ElseMIT’s Thread-Like Robot Slides Through Blood Vessels In the Brain Stay on target The key, according to NVIDIA, is synthetic data.While existing approaches to machine learning require large amounts of labeled training data—” a serious bottleneck in these systems”—synthetic data generation allows an “almost infinite” amount of data to be produced “with very little effort.”To demonstrate, the team used colored blocks (red, yellow, green, blue) and a toy car (also red).In the clip above, a human operator shows a pair of stacked cubes to the robot, which infers an appropriate program to place them in the correct order. The system is able to recover from mistakes in real time.“If someone pours water into a glass, the intent of the demonstration remains ambiguous. Should the robot also pour water? If so, then into which glass?” the study said. “Should it also pour water into an adjacent mug? When should it do so? How much water should it pour? What should it do if there is no water? And so forth.“Concrete actions themselves are insufficient to answer such questions,” researchers continued. “Rather, abstract concepts must be inferred from the actions.”Birchfield, Tremblay & Co. will present their research at this week’s International Conference on Robotics and Automation (ICRA) in Brisbane, Australia.Moving forward, the group plans to fix existing issues and explore additional features, including increasing robustness of domain randomization, leveraging past execution information, and expanding the vocabulary of the human-readable programs.last_img read more