​Интересные доклады по моему мнению следующие:

What's New in Android

Android:
👉 Understanding Android Runtime (ART) for Faster Apps
👉 Best Practices for Using Sign-In for Android Apps
👉 Security on Android: What's Next
👉 What's New in the Android OS User Interface
👉 Moving Away from the Light with Android Q
👉 Best Practices for Using Text in Android
👉 Demystifying Android Accessibility Development
👉 Improve Digital Wellbeing: Google's Approach and Tips for Developers
👉 Extend Your Android App to the Google Assistant

Android Jetpack:
👉 Android Jetpack: What's New in Navigation
👉 Android Jetpack: Understand the CameraX Camera-Support Library
👉 What's New in Architecture Components
👉 What's New with ConstaintLayout
👉 Improving App Performance with Benchmarking

Architecture:
👉 Build a Modular Android App Architecture
👉 Build Apps for Foldable, Multi-Display, and Large-Screen Devices
👉 Build Testable Apps for Android
👉 Build Apps for the Next Billion Users

Tools:
👉 Best Practices in Using the Android Emulator
👉 What's New in Android Studio UI Design and Debugging Tools
👉 What's New in the Android Studio Build System
👉 Android Studio: Tips and Tricks
👉 Build Bigger, Better: Gradle for Large Projects

Design:
👉 Material Theming: Build Expressively with Material Components
👉 How Material Design Can Be Adopted and Measured for Product Success
👉 How to Design a Dark Theme Using Material

Google Play:
👉 What's New in Google Play
👉 What's New with Google Play Billing
👉 What's Next for Your App Bundle: Customizable App and Games Delivery
👉 Best Practices in Boosting Optimized App Installs on Google Play
👉 Improve Your App and Game Quality with Android Vitals

Kotlin:
👉 Understand Kotlin Coroutines on Android
👉 What's New in Kotlin on Android
👉 Kotlin on Android: Understand the Internals

Firebase:
👉 What's New in Firebase
👉 Cloud Firestore Data Modeling
👉 Engage and Keep Your Users in Your App with Firebase
👉 ML Kit: Machine Learning for Mobile with Firebase

Machine Learning:
👉 What’s New in Android Machine Learning
👉 ML Kit x Material Design: Design Patterns for Mobile Machine Learning
👉 Introducing Google Coral: Building On-Device AI
👉 AI for Mobile and IoT Devices: TensorFlow Lite
👉 Machine Learning on Your Device: The Options