Google officially Released Android 10 Go Version: App Startup Speed is 10% Faster

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Google launched Android 9 Pie, and also launched Android Go version, today Google detailed its latest version of the Android 10 Go operating system, for entry-level intelligence with less than 1.5GB of memory Mobile phone. Android 10 (Go version) is “faster, safer” and will be officially launched this fall.

Google said that compared to the low-performance version of Android Pie, the application launch speed in Android 10 (Go version) increased by 10%. In addition, “speed and reliability have also been enhanced.” The announcement was released before the launch of Android 10 for Pixel devices earlier this month.

In terms of security, Android 10 (Go version) uses Adiantum encryption, which was introduced by Google earlier this year for low-performance devices. It allows these resource-constrained devices to encrypt data without affecting performance.

Adiantum is designed to run efficiently without dedicated hardware, which means that all Go users will have the same level of data security as any Android device without compromising performance. This will make next-generation devices more secure than previous devices and make the next batch of billions of people safe online for the first time.

At the same time, Google provides status updates on the platform. Over the past 18 months, more than 500 manufacturers have launched more than 1,600 Android (Go version) device models in more than 180 countries. These include India, South Africa, Nigeria, Brazil, and the United States, with the Go version accounting for more than 80% of the active entry-level Android phones.

Visit Also: Xiaomi Qin Multi Parent AI Assistant Budget Android GO Phone Launched at 499 YUAN ($72)

Most Android (Go features) are based on apps, and Google claims to have announced some features in the past year. Google Go has AI-driven aloud reading and Google Lens. The offline photo editing app Gallery Go is the most important release since last year. It is only 10MB in size and can be sorted by machine learning.

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