It’s a two-fold benefit for developers and end-users alike - on-device processing to allay security concerns, along with speed improvements. The new tech uses your device GPU and runs three times faster than WebGL, and Google says ML libraries can run 100 times faster on WebGPU than regular JavaScript. To this effect, Google is introducing WebGPU as an API replacement for WebGL. Hardware-level encryption and on-device data processing have long been two of the best ways to help security. Google is also addressing the elephant in the room - generative AI like Bard and our associated privacy concerns rooted in the ML models that improve AI. This means we may see more and more Android apps become platform-agnostic web apps, thanks to Chrome. At I/O this year Google announced that WebAssembly in Chrome now supports Kotlin and Dart, meaning app devs working with the former can easily copy their Android app features over and deploy right on the web.

Once they finish coding their main Android app, developers usually have to invest additional resources to create a fully featured web version.

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