My notes for Google I/O 2019 Developer Keynote Day 2

google_io_2019_dev_keynote.md

• Kotlin is the focus for Android development from now.
• Android Jetpack
  • CameraX
• Android Studio
  • Fixed over 400+ bugs
  • Instant Run is great but not reliable. They rebuilt the foundation of Instant Run.
  • 3.5 Beta launches today
  • New in AS 3.5
    • Memory usage
    • CPU performanc
    • Build speed
    • UI responsiveness
    • Apply changes
    • Project upgrades
    • Gradle sync
    • Deployment flow
    • https://g.co/androidstudio/preview
• Google Assistant
  • Content Creators
    • HowTo Template
  • App developers
    • App Actions (https://g.co/appactions)
      • Health & fitness
      • Finance
      • Ridesharing
      • Food ordering
    • Interactive Canvas (https://g.co/interactivecanvas)
      • Games
• Open web
  • Latest improvements to Chrome and their developer tools:
    • Faster experiences
    • Powerful capabilities
    • User trust and safety
  • Chrome 74 startup time - web page loads almost half the time.
    • This speed ups are partly due to V8 - 2X faster JS parsing, 20% less memory usage
  • Image lazy loading

    <img src="io2019ftw.png" alt="Google I/O 2019" loading="lazy" />

  • Lighthouse
    • Tool to audit websites
    • Performance budgets
  • PWA
  • User trust and safety
    • Private and secure cookies by default
    • Easy to use privacy controls
    • Anti-fingerprinting protection
  • Keep track the latest features and best practices of the web
    • New website called https://web.dev to help.
  • Chrome OS
    • Linux for Chromebooks.
    • Android Studio is now available with one-click install.
    • All Chromebooks launch this year will be Linux-ready right out of the box.
• Machine Learning
  • Google AI
    • Out of the box - ML Kit
    • Performance - Google Cloud
    • Flexibility - TensorFlow
    • ML Kit
      • Vision
        • Landmark detection
        • Image labeling
        • Barcode scanning
        • Face detection
      • Natural Language
        • Language identification
        • Smart Reply
      • Custom
        • Model Serving
      • New features
        • On-device translation.
        • Object detection and tracking API.
          • Pair with Google Cloud Product Search API.
        • You can get started using these new APIs today through Firebase (https://g.co/mlkit).
    • Google Cloud (https://g.co/cloud/ai)
      • For developer who needs more performance for large ML workloads, Google Cloud provides a complete set of AI tools and this includes Cloud AutoML.
      • Cloud AutoML Tables
      • Cloud AutoML Video Intelligence
      • Cloud TPU Pods beta
    • TensorFlow
      • TensorFlow 2.0 alpha (all about usability)
        • More intuitive APIs
        • Less code
        • Portability
      • TensorFlow.JS
        • Build, train and deploy custom models right in the browser and on the Node.js platform.
        • Build custom models
        • Train new models or retrain existing models
        • Deploy with JavaScript
      • TensorFlow Lite
        • For developers working with on-device platform such as mobile devices and IoT
        • Demo of "Dance Like", an app by Google. All on device, simultaneously in real-time. The 5 on-device tasks running at the same time:
          • Running two body-part segmentation models
          • Matching the segmentation models
          • Running dynamic time warping
          • Playing a video
          • Encoding a video
        • It's that cool!?
• Firebase
  • Build your app with fully managed backend:
    • Build better apps
    • Improve app quality
    • Engage your users
  • Firebase + ML Kit make it easy for you to bring ML to your app regardless of expertise
    • Today we are expanding ML Kit with AutoML Vision Edge
      • Demo
  • Firebase Performance Monitoring for Android, iOS and the web.
• Flutter for web technical preview available today
• 10 years of Google Developer community