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More helpful than the ratings are the user comments for restaurants, which can tell you how accommodating the staff was and whether the accommodations were made begrudgingly or with a smile. AllergyEats is free for iOS and for Android. Whether you are cooking in or eating out, these apps can help peanut allergy sufferers avoid foods with nuts. If you don't want to spring for a pricey peanut sensor, then you can use your phone to avoid foods that contain nuts. Here are three free apps that can help peanut allergy sufferers.

Google's AI software can detect the subject of a video and change the background, Google, though, trained a neural network with lots of carefully labeled imagery that helped it learn how to distinguish facial features -- eyes, hair, glasses, mouths and so on -- from everything else, The result is a system that can swap out backgrounds fast enough to keep up with video, Digital video frames whip by at 30 frames per second, but Google's technology works at 40 frames per second on a unique polka 360 case iphone xr case - gold / clear Google Pixel 2 phone and more than 100 frames per second on an Apple iPhone 7..

Want to try it out for yourself? Sorry. For now, it's available to only a pretty small number of high-profile YouTubers with access to the YouTube stories service, which offers an ability to share Snapchat-esque short videos. Google detailed the research in a blog post Thursday. "Our new segmentation technology allows creators to replace and modify the background, effortlessly increasing videos' production value without specialized equipment," Google programmers Valentin Bazarevsky and Andrei Tkachenka said in the blog post.

Google uses machine learning in its video segmentation technology, which can determine background imagery unique polka 360 case iphone xr case - gold / clear that can be replaced with something funny or eye-catching, The technology shows how versatile AI and machine-learning technology is for solving complex computational problems, Neural network technology doesn't have to know endless rules, like "faces have two eyes, located above the nose, unless the face is viewed in profile, in which case there may only be one eye visible, unless the subject is wearing dark glasses." It just has to be trained on enough photos, labeled by humans who do actually know what a face is, that it eventually learns the patterns, It's proven a remarkably useful technology for everything from screening out email spam to predicting what word you're trying to type into your phone..

Google already uses AI in a related feature today on its Google Pixel 2 phones. The phones only have single cameras, but AI helps blur backgrounds for portrait-mode photos. 'Alexa, be more human': Inside Amazon's effort to make its voice assistant smarter, chattier and more like you. Does the Mac still matter? Apple execs explain why the MacBook Pro was over four years in the making, and why we should care. Machine learning proves its worth for new video effects tech: distinguishing between faces and backgrounds at 100 frames per second.