# What's new in Firebase at I/O 2018

DevFeed: [What's new in Firebase at I/O 2018](<https://devfeed.tech/articles/what-s-new-in-firebase-at-i-o-2018-16270.md>)

Original publisher: [Read original article](<https://firebase.blog/posts/2018/05/whats-new-in-firebase-at-io-2018>)

Author: Francis Ma

Published: 2018-05-08T00:00:00Z

Content type: news

Language: en

Sources: [Firebase Blog](<https://devfeed.tech/sources/firebase-blog.md>)

Topics: [Firebase](<https://devfeed.tech/topics/firebase.md>), [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Mobile](<https://devfeed.tech/topics/mobile.md>), [SDK](<https://devfeed.tech/topics/sdk.md>), [Android](<https://devfeed.tech/topics/android.md>), [iOS](<https://devfeed.tech/topics/ios.md>), [TensorFlow Lite](<https://devfeed.tech/topics/tensorflow-lite.md>), [Amazon Machine Learning](<https://devfeed.tech/topics/amazon-machine-learning.md>)

Tags: [android](<https://devfeed.tech/tags/android.md>), [firebase](<https://devfeed.tech/tags/firebase.md>), [google-analytics](<https://devfeed.tech/tags/google-analytics.md>), [google-cloud](<https://devfeed.tech/tags/google-cloud.md>), [google-i-o](<https://devfeed.tech/tags/google-i-o.md>), [ios](<https://devfeed.tech/tags/ios.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [ml-kit](<https://devfeed.tech/tags/ml-kit.md>), [news](<https://devfeed.tech/tags/news.md>), [on-device](<https://devfeed.tech/tags/on-device.md>), [performance-monitoring](<https://devfeed.tech/tags/performance-monitoring.md>), [tensorflow-lite](<https://devfeed.tech/tags/tensorflow-lite.md>), [test-lab](<https://devfeed.tech/tags/test-lab.md>), [updates](<https://devfeed.tech/tags/updates.md>)

## AI overview

Firebase announces improvements at I/O 2018, including the public beta of ML Kit, an SDK for adding machine learning features to Android and iOS apps. ML Kit provides ready-to-use APIs for text recognition, face detection, barcode scanning, image labeling, and landmark recognition, with on-device and cloud-based options. Developers can also use their own TensorFlow Lite models, while Firebase handles hosting and serving. The article also begins discussing improvements to Performance Monitoring.

## Source excerpt

News, tutorials, and updates from the Firebase team.