Google DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle I/O 2026 to unveil new AI breakthroughsGoogle DeepMind expands AI safety partnership with SingaporeAnthropic finds over 10,000 vulnerabilities with Project GlasswingSynthID expands to Google Search and ChromeAnthropic updates vuln disclosure dashboardGoal mode now available across all Codex platformsCodex Thursday adds remote Mac controlAnthropic publishes early Project Glasswing resultsReleases new science-focused AI skills toolGemini 3.5 Flash released with enhanced research toolsGoogle ships ADK for Android/Kotlin v0.1.0Google launches ADK for Kotlin and Android 0.1.0Google expands Gemini for Home for developersGemini 3.5 Flash officially launchedAI solves long-standing open math problem for first timeGoogle announces Gemini Omni for video creationUse multiple agents with Gemini OmniOpenAI Introduces Guaranteed Capacity for Long-Term ComputeGemini for Science assists with research tasksSynthID watermark and verification tool added to AI imagesGoogle I/O 2026 to unveil new AI breakthroughs
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GoogleGuides & TipsOfficial Blog

Google explains LiteRT-LM for fast on-device AI

Build on-device GenAI to reduce latency and privacy concerns.

Key Points

  • 1Designed for Gemma 4 on-device execution
  • 2Supports multiple hardware backends
  • 3Mentions web execution via WebGPU

Google explained how LiteRT-LM optimizes running Gemma 4 on-device across phones, laptops, and the web. It highlights acceleration across CPU/GPU/NPU backends and options like WebGPU. This makes it easier to build features that don’t rely on network calls. Performance varies by device and platform support.

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