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ML Kit for Firebase - Machine Learning For Mobile Apps

Google Firebase provides a realtime database and backend as a service. The service provides application developers an API that allows application data to be synchronized across clients and stored on Firebase's cloud. Two days back in Google I/O they introduced ML Kit to integrate Machine Learning in Mobile apps(Both Android & iOS). So what is ML Kit and why? ML Kit lets you bring powerful machine learning features to your app whether it's for Android or iOS, and whether you're an experienced machine learning developer or you're just getting started. Getting started with machine learning can be difficult for many developers. Typically, new ML developers spend countless hours learning the intricacies of implementing low-level models, using frameworks, and more. Even for the seasoned expert, adapting and optimizing models to run on mobile devices can be a huge undertaking. Beyond the machine learning complexities, sourcing training data can be an expensive ...

2018 Google I/O - Day 1 Updates

What is Google I/O? Google I/O (simply I/O) is an annual developer conference held by Google in Mountain View, California. I/O showcases technical in-depth sessions focused on building web, mobile, and enterprise applications with Google and open sources such as Android, Chrome and Chrome OS, APIs, Google Web Toolkit, App Engine, and more.  I/O was inaugurated in 2008, and is organized by the executive team. "I/O" stands for input/output, as well as the slogan "Innovation in the Open". The event's format is similar to Google Developer Day. Important Updates From Day 1 in Google I/O Android P 1) Adaptive Brightness:   Google partnered with Deep Mind to create a new feature called Adaptive Battery, using on-device machine learning to study your usage habits and only draw battery power to applications Android P knows you're using – not once that are needlessly running in the background. Additionally, background processes are also moved to low...