Android 11 makes numerous changes throughout the OS, including some tweaks to system navigation. Starting in Android 11, almost all devices will default to Google's new gesture navigation, which might take a little adjustment on your part. There are a few ways you can make navigation on Android 11 more to your liking in just a few taps. Android 11's quick-switch gesture lets you swipe quickly between apps without going to the overview screen. Several phones have tutorials that teach you how to use the new gesture nav system, but none of them get around to explaining the quick-switch gesture.

You would not directly use the model for your edge device. You would need to compress it or optimize the model so you can run it on the edge device as it has limited computation power, network availability, and disk space. In this document, however, we will not be discussing the optimization process. We will be deploying a .tflite You can read more about TensorFlow Lite and the Model Optimization process with TensorFlow Lite.

At dinner, I mentioned that I would like to go hiking in Patagonia. I never searched for these trips or anything like it. Yet, an hour later, I started getting ads on my phone about hiking adventures in Patagonia. While there's been no concrete evidence that your device's microphone is always listening, many Americans believe apps and sites routinely collect their voice data and use it for marketing purposes. Your smart speaker with its virtual assistant is always listening.

Google has infused its so-called Smart Reply feature, which uses machine learning to suggest words and sentences you may want to type next, into various email products for the last several years. But with Android 11, those contextual nudges--including emojis and stickers--are built directly into Gboard, Google's popular keyboard app. They can follow you everywhere you type. Figuring out how to keep the AI that powers all of this from becoming a privacy nightmare. Google has been adamant for years that Gboard doesn't retain or send any data about your keystrokes.

You would not directly use the model for your edge device. You would need to compress it or optimize the model so you can run it on the edge device as it has limited computation power, network availability, and disk space. In this document, however, we will not be discussing about the optimization process. We will be deploying a .tflite You can read more about TensorFlow Lite and the Model Optimization process with TensorFlow Lite.