Mobile Development 9 min read

Recap of Google I/O 2017: Android, AI, and New Google Products

The article reviews Google I/O 2017, highlighting Android's shift to Kotlin, the introduction of Android O features, the launch of AI‑driven services such as Google Lens, Assistant, and Home, and the broader move from a mobile‑first to an AI‑first strategy.

Hujiang Technology
Hujiang Technology
Hujiang Technology
Recap of Google I/O 2017: Android, AI, and New Google Products

Google I/O 2017 took place on May 17‑19 in Mountain View, attracting over 7,000 developers on‑site and more than 400 live‑stream events worldwide, where Google showcased its latest product and technology directions.

Android : Sundar Pichai announced that Google’s apps have over 1 billion monthly active users and Android devices exceed 2 billion, making Android the world’s most used OS. Kotlin was officially supported as a first‑class language in Android Studio 3.0, and Android O (8.0 Oreo) introduced features such as Picture‑in‑Picture, Notification Dots, Autofill, Smart Text Selection, Adaptive Icons, faster boot, improved battery life, and Google Play Protect. A lightweight Android Go edition was also announced for low‑end devices.

Google Applications :

Google Lens – visual search that identifies objects, text, and places, and can connect to Wi‑Fi by scanning QR‑like information.

Google Assistant – more conversational, supports text interaction, voice recognition of different users, and integrates Lens for real‑time translation and visual queries.

Google Home – adds Proactive Assistance, hands‑free calling, and Visual Response to deliver context‑aware information across devices.

Google Photos – integrates Lens and adds Suggested Sharing, Shared Libraries, and automated Photo Books.

These products illustrate Google’s shift toward voice and visual interaction, powered by AI and machine‑learning technologies.

Artificial Intelligence : Google emphasized its "mobile‑first to AI‑first" mantra, showcasing infrastructure such as second‑generation Cloud TPUs (180 TFLOPS per board, up to 11.5 PFLOPS when 64 boards are linked), TensorFlow 1.2 with a new high‑level API and TensorFlow Lite for mobile, and AutoML which automates neural‑network design. The Google.ai platform was opened to the public, providing tools, research, and case studies to democratize AI development.

In conclusion, the conference underscored that AI is becoming integral to all Google products, urging developers to incorporate AI and machine learning to create smarter user experiences.

We’re talking about the important shift from a mobile first to AI first world, and we’re driving it forward across all our products and platforms, so that all of you can build powerful experiences for new users everywhere.
Mobile Developmentmachine learningAIAndroidKotlinGoogle I/O
Hujiang Technology
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