GOOGLE I/O Developer Conference 2018 Highlights [Day 1]

Google has unveiled its major project 'Google Assistant' in the annual event I/O developer conference at Shoreline Amphitheater in Mountain View, California. Here are some of the highlights in this video below from the Day 1 keynote. There will be more to come over the next couple of days, so follow along on everything Google I/O on official website at https://events.google.com/io/.

Biggest announcements

Google Assistant

First biggest announcement was Google Assistant that makes talking to the Assistant feel more natural. Now, instead of having to say “Hey Google” or “OK Google” every time you want to say a command, you’ll only have to do so the first time. The company also is adding a new feature that allows you to ask multiple questions within the same request. All this will roll out in the coming weeks.

Source: Google I/O official website

Google Assistant is coming to Google Maps

The second biggest announcement was make Google Assistant available in Google Maps, via iOS and Android app by this summer. The addition is meant to provide better recommendations to users.

Google Photos gets an AI makeover

The third biggest announcement was for Google Photos, AI-powered features for automatically creating collages, movies and stylized photos. A new version of the Google Photos app will suggest quick fixes and tweaks like rotations, brightness corrections or adding pops of color.

Google Assistant and YouTube enters to Smart Displays

Google’s first Smart Displays will launch in July, and of course will be powered by Google Assistant and YouTube.

Google News gets an AI-powered redesign

Google News is getting ready with AI powered packed features. The AI-powered, redesigned news destination app will “allow users to keep up with the news they care about, understand the full story, and enjoy and support the publishers they trust.”

Google unveils AI powered ML Kit & SDK for iOS and Android apps

It allows app developers to integrate pre-built, Google-provided machine learning models into apps. Key features of new ML Kit & SDK are support text recognition, face detection, bar code scanning, image labeling and landmark recognition.

I/O '18 Guide - Developer Keynote Recap