• Breaking News

    Saturday, January 25, 2020

    Home Unlabelled Android Saturday APPreciation (Jan 25 2020) - Your weekly app recommendation/request thread!

    Android Saturday APPreciation (Jan 25 2020) - Your weekly app recommendation/request thread!

    January 25, 2020

    Android Saturday APPreciation (Jan 25 2020) - Your weekly app recommendation/request thread!

    Saturday APPreciation (Jan 25 2020) - Your weekly app recommendation/request thread!

    Posted: 25 Jan 2020 03:11 AM PST

    Note 1. Check out our apps wiki for previous threads and apps curated by the reddit Android community!

    ***NEW: Download the official /r/Android App Store based on our wiki!

    Note 2. Join us at /r/MoronicMondayAndroid, a sub serving as a repository for our retired weekly threads. Just pick any thread and Ctrl-F your way to wisdom!

    Note 2. Join our IRC, and Telegram chat-rooms! Please see our wiki for instructions.

    This weekly Saturday thread is for:
    * App promotion,
    * App praise/sharing

    Rules:

    1) If you are a developer, you may promote your own app ONLY under the bolded, distinguished moderator comment. Users: if you think someone is trying to bypass this rule by promoting their app in the general thread, click the report button so we can take a look!

    submitted by /u/AutoModerator
    [link] [comments]

    Rumor: True Galaxy Fold successor to be launching in Q2 with 8" display, 108MP camera, ultra-thin glass display (replacing plastic), SPen, Snapdragon 865, and 5G

    Posted: 24 Jan 2020 07:47 PM PST

    Byte, from creators of Vine is here!

    Posted: 24 Jan 2020 04:36 PM PST

    First Look at Nearby Sharing - Google's AirDrop Clone for Android

    Posted: 24 Jan 2020 05:21 AM PST

    64GB Google Pixel 3a Unlocked Smartphone + $100 Best Buy eGift Card - $ 350

    Posted: 24 Jan 2020 09:05 AM PST

    The best Android power user features you may have forgotten about

    Posted: 24 Jan 2020 10:28 AM PST

    Google Keyboard now has custom emoji suggestions

    Posted: 24 Jan 2020 05:45 PM PST

    http://imgur.com/gallery/FBHWcSM

    I just noticed them and took screenshots of my favorites. Some of these are actually cool looking and funny too. Anyone else see these? Which are your favorites?

    submitted by /u/CherryLax
    [link] [comments]

    Working Call Recorder on S10+ Android 10 - NO ROOT Required!

    Posted: 24 Jan 2020 02:53 PM PST

    Samsung's cameras needed a major upgrade — the Galaxy S20 brings it

    Posted: 24 Jan 2020 10:56 PM PST

    Google Camera 7.3 hints at 24fps video recording and 2020 mid-range Pixel code-names

    Posted: 25 Jan 2020 03:36 AM PST

    Evan Blass - Galaxy S20+ | S20 Ultra Pre-Order Promotional Image

    Posted: 24 Jan 2020 08:20 PM PST

    Samsung Galaxy Fold review: The future is an ugly disappointment (Ars Technica)

    Posted: 24 Jan 2020 05:30 AM PST

    How does Android not have the option to not connect to a specific Wi-Fi network automatically?

    Posted: 24 Jan 2020 07:42 AM PST

    Its 2020 and I still cannot set a specific Wi-Fi network to not connect automatically [EDIT: On stock Android]. There is at least one access point or two that I occasionally use that does require a password but the signal strength is often not too strong and if I'm passing by that general area it tries to connect and I lose any internet access because of the fact that the connection is so weak.

    This is a basic function that's been windows for years and I'm honestly shocked that Android doesn't allow me to not connect to specific Wi-Fi networks automatically. My only options are to turn Wi-Fi off all together or to forget a network and then have to re-enter the password every time.

    Am I something here?

    submitted by /u/nBob20
    [link] [comments]

    64GB Unlocked Pixel 3a with $100 Amazon Gift Card - $349.00

    Posted: 25 Jan 2020 04:05 AM PST

    Xiaomi Redmi K30 unboxing and key features

    Posted: 24 Jan 2020 10:09 AM PST

    NexDock 2 First Look! Turn your phone into a laptop! IT'S FINALLY HERE!

    Posted: 24 Jan 2020 05:45 AM PST

    on-device AI training has huge potential

    Posted: 25 Jan 2020 02:53 AM PST

    Hello,

    so currently with Android smartphones, pre-trained machine learning models are deployed using Tensorflow Lite on the phone, and when it's needed, it does inference on the device.

    That basically means the AI on your phone gets trained on a company server and then it runs on the phone doing the stuff it's designed for, like the object recognition in your camera app. If you hold the phone to the sky, it recognises the sky and adjusts the camera accordingly.

    However the thing is, it does not learn from you currently. So when you have an AI neural network on your phone, it can only run on it but not change its parameters and weight. For the AI to learn based on you, the AI model has to be sent back to the server, get trained there and then deploy back on the phone. That's pretty time-consuming and also has a huge privacy risk.

    With training on-device, that could change everything. To get back to the sky camera example, imagine you have both, a mountain and a sky in the picture and the camera AI decides to go for the sky. So you give it a thumbs down and it will switch back to the mountain. The next time you want to photograph both a sky and a mountain, the camera app "remembers " that and switches to the mountain automatically. That would be possible with training on-device.

    There are endless possibilities with training on device, imagine for example an intelligent AI supported Android OS. Imagine driving with the train and you want to watch a YouTube video, but you have no headphones and you forgot to turn down the audio settings. Video gets played in full volume and everyone on the train looks at you, you quickly turn down the volume. A situation everyone is familiar with for sure.

    Now, the AI OS connects that specific data from the GPS, the headphone jack and accelerometer sensor with that volume setting and the next time you are on a train, this won't happen again. All that 100% secure since it all happens on your phone.

    Don't get me started on keyboards!

    And I'm barely scratching the surfaces with those examples here.

    Of course smartphones have much less power than servers, but for the small deep learning models deployed on phones, any smartphone with a NPU would be sufficient to train them.

    CoreML3 from Apple supports training on device recently, so I hope Tensorflow Lite will follow soon.

    submitted by /u/dampflokfreund
    [link] [comments]
    Read more
    at

    No comments:

    Post a Comment