What's New in Firebase

on YouTube ↗39m

" summary

Firebase now ships AutoML Vision Edge for point-and-click TensorFlow Lite models, ML Kit updates (object detection, offline translation across 59 languages), and a visual-search demo used with IKEA. Server features include five 9s SLA Firestore across 15 regions plus Collection Group queries, Cloud Functions with scheduled triggers, and Hosting -> Cloud Run for server-side rendering. Local development uses the Emulator Suite (Firestore, RTDB, Functions). Test Lab’s ML crawler is >2x effective, and Crashlytics Velocity Alerts become customizable from 0.1%–1%.

AI-written summary · about

" chapters (13)

1. 0:00Introduction
2. 2:04ML Kit
3. 3:52AutoML Vision Edge
4. 4:53Demo
5. 8:10New Android
6. 10:28Firebase Updates
7. 17:58Test Lab
8. 21:28Performance Monitoring
9. 23:36Firebase Fabric
10. 28:54Flexible Filters
11. 32:47Hotstar
12. 33:27IPL
13. 35:22Conclusion

" related talks

• 36mMachine Learning for Mobile DevelopersLaura Morinigo · Mobilization 8
• 14mDo you want an easy way to add Machine Learning into your app?Sandra Dupré · Android Makers 2019
• 47mExploring Firebase MLKit on AndroidHiren Dave · GDG DevFest Ahmedabad 2018
• 29mFirebase MLKit — AI in Android Town!!Sweety Bertilla Francis Xavier · Android Summit 2019
• 24mML Kit: Machine learning for mobile developersSachin Kotwani, Isabella Chen · Firebase Summit 2018
• 04mTop 5 reasons to add ML Kit to your Android or iOS appSachin Kotwani · Firebase Summit 2018
• 09mMachine Learning on the EdgeSangeetha KP · CodeLand 2020
• 34mIt’s an ML full world! MLKit for Android DevsBritt Barak · DevFest Ukraine 2018