There are countless new features to take advantage of in iOS 11, but many of them are under the hood in the form of APIs and require App Store apps to get the full effect.
Iryss is a new app developed by Florian Hebrard, better known by the jailbreak community as Ziph0n, that takes advantage of Apple’s brand-new CoreML (Machine Learning) API to recognize objects around you in real time.
Apple on Wednesday published three new articles detailing the deep learning techniques used for the creation of Siri's new synthetic voices. The write-ups also cover other machine learning topics it'll be sharing later this week at the Interspeech 2017 conference in Stockholm, Sweden.
Hosted at machinelearning.apple.com, Apple's new blog called “Machine Learning Journal” is dedicated to sharing technical details of its machine learning research with the AI community.
During today's keynote address at Google's annual I/O conference for developers, the company announced a trio of smart features powered by machine learning intelligence.
For starters, the app now automatically curates albums for the user.
Even better, Google Photos provides suggestions when sharing photos with others. As a bonus, there's now an Apple Photos-like feature for ordering printed photo books from within the app.
But first, check out the new features for yourself in Google's video embedded below.
https://www.youtube.com/watch?v=SN_7r0mFf5Y
Sharing suggestionsPhotos now uses Google's machine learning technology to remind you when it's time to share some photos. The app automatically select the right photos and even suggest who you should send them to based on who was in the photos.
All that's left for you to do is review the choices the app's made on your behalf before hitting that Send button. People you're sharing with will see all your photos and get a reminder to add theirs too. Your sharing activities are collated in the app's new Sharing tab.
This feature will be rolling out on Android, iOS and web in the coming weeks.
Automatically curated albumsGoogle Photos can now automatically share relevant photos with specific people. Say you took a bunch of photos of your kids: Photos may offer to automatically share them with your wife.
Called Shared Libraries, it lets you give a person access to your full photo library.
Don't worry, you can easily choose to limit sharing by having the app include just the photos of certain people or the images taken from a certain date forward. When the other person shares their library with you, you can automatically save their photos to your own library.
Shared Libraries will be rolling out on iOS, Android and web in the coming weeks.
Photo BooksLike with Apple Photos or services like Shutterfly, you can now order a printed coffee table book comprised of your best photographs without ever leaving the app. Simply select the images you'd like to fill your album with and Google's machine learning algorithm will pick the best shots, removing duplicates and poor quality images.
When placing your order, choose between a high-quality twenty-page softcover book for ten bucks a piece or a hardcover variant for twice as much. Your photo book will be delivered to that special person in your life in the mail.
This feature is rolling out today in the US on web, and on Android and iOS next week.
“We’ll bring photo books to more countries soon,” said the search giant.
Another feature that's coming soon to Photos: personalized suggestions for photo books (i.e. your trip to the Grand Canyon, time with family during the holidays, your puppy and so forth). Machine learning powers features in other Google apps, including smart replies in Gmail for iOS and the newly launched Assistant for iPhone app.
Grab Google Photos for free from App Store.
Google on Wednesday launched an updated version of the mobile Gmail app for iOS and Android, bringing out a handy new Smart Reply feature based on the company's machine learning technology. Like with canned responses in Apple's own Messages app, Gmail analyzes the contents of your emails to provide up to three canned responses based on what it thinks the sender is asking in their original message.
Smart Replies may include simple “Yes” and “No” responses. If the sender is asking whether to meet on Wednesday or Friday, Gmail may provide a bit more complex replies such as “Let's do Wednesday”, “Friday works for me” or “Either day works for me”.
Once you’ve selected one, you can send it immediately or edit your response starting with the Smart Reply text. By utilizing machine learning, the Smart Reply feature produces better responses the more you use it. “If you're more of a 'thanks!' than a 'thanks.' person, we'll suggest the response that's, well, more you,” says Google.
To learn about the smarts behind Smart Reply, check out the Google Research Blog.
Smart Reply will roll out globally in English first, with Spanish following in the coming weeks. Additional languages for Smart Replies will be added soon, Google has promised.
According to the search monster, the machine learning-assisted Smart Reply feature already drives twelve percent of replies in its Inbox email app.
Aside from Smart Replies in the Gmail app, today's keynote address at Google's annual I/O conference for developers saw the release of the official Google Assistant app for iOS.
Gmail for iOS is available at no charge from App Store.
Online retail giant Amazon today introed a hands-free camera which has been specifically designed to judge your wardrobe choices in comparison with others. Dubbed Echo Look, it features built-in LED lighting, depth sensing, machine learning and Alexa-driven voice features.
Working in conjunction with the free mobile app for iOS and Android, it lets you snap a photo or shoot a short video of your outfit with a simple voice command. Data from the onboard depth-sensing sensor lets the device blur out your background to focus on your wardrobe.
A sketchy rumor released Monday by the Israeli outlet The Verified claims that Siri will gain some interesting new capabilities when iOS 11 launches this fall. For starters, Apple's personal digital assistant will tap into machine learning deeper than ever before to learn from user behaviors within the context of individual apps. Moreover, Siri will integrate with Apple's iMessage service and sync data via iCloud.
Wouldn't it be great if machine learning could be applied toward improving comments and other conversations online? Big and small publishers alike, from NYT to the site you're now reading, are spending significant resources to stop trolls from bombarding readers with toxic comments.
A new Google tech based on machine learning strives to automate the process of sorting through millions of comments, helping identify and flag abusive comments that undermine a civil exchange of ideas.
You may be aware that there is already a feature in iOS that sort of lets you type in your questions to Siri instead of using voice commands. It's quite handy for those situations when talking aloud isn't an option or Siri fails to recognize repeatedly what you said. Starting with iOS 10, Siri includes a “Maybe You Said” feature.
Taking advantage of machine learning and artificial intelligence, it suggests corrections for mispronunciations or incorrectly recognized queries. In this post, you'll learn how to leverage this feature to avoid having to manually correct any mispronounced words.
Artificial intelligence (AI) and machine learning (ML) research communities have been critical of Apple's secretiveness to the point that it's hurt the firm's recruiting efforts and prompted it to change its tough stance against publicizing any internal AI findings. Last weekend, Apple finally published its very first AI paper, Forbes reported today.
Submitted for publication on November 15, the document outlines a technique for improving the training of an algorithm's ability to recognize objects on images using computer-generated images rather than real-world ones.
Apple demands that its machine learning (ML) experts and artificial intelligence (AI) researchers do no publish their findings in research papers or share results of their work with fellow ML/AI experts, which scientists think is preventing the company from recruiting the brightest minds in the field. Realizing its mistake, Apple is changing its stance.
As announced by Russ Salakhutd, Apple's director of AI research, the company’s machine-learning researchers are now free to publish some of their breakthroughs in and confer with colleagues.
About a year ago, a certain California firm quietly snapped up VocalIQ, a UK-based startup that used machine learning to build conversational virtual assistants. Subsequent reports noted that Apple kept most of the startup's employees to work out of their unmarked Cambridge, UK office on integrating VocalIQ technology into Siri.
Citing sources with knowledge of the matter, Business Insider reports that Apple is now looking to increase the size of the Siri team in Cambridge.