The Google AI fund supports developers building on-device, cloud, or hybrid AI solutions to encourage ecosystem growth.
Avoid performance issues by selecting the smallest model that delivers acceptable quality for the specific use case and device.
Browsers can provide built-in models for common tasks, which reduces redundant downloads and offers developers simple, high-level APIs.
New AI capabilities are being standardized through proposals like navigator.ai, with developers using polyfills to provide cloud-based fallbacks in unsupported browsers.
New web AI APIs become available through a phased rollout, starting with developer flags and origin trials before being shipped in stable browser releases.
Developers face a new challenge as browsers increasingly add their own AI-powered UI, which can compete with or interfere with custom application features.
Developers may need new HTML attributes or APIs to prevent default browser AI behaviors from conflicting with their own custom implementations, similar to disabling autocomplete.
To avoid redundant downloads, web applications can potentially access local OS-level models through methods like local web servers or future browser-OS integrations.
50:12Sam Witteveen
47:25
1:03:08
1:00:43Logan Kilpatrick
35:16Ankit Patel
59:16Ryan J Salva
32:27Christian Liebel
27:23Nico Martin
Jobs that call for the skills explored in this talk.
webLyzard
Vienna, Austria
brandung GmbH & Co. KG