Google TV Adds Gemini Photo and Video Tools

Researchers from UC Berkeley, Princeton, EPFL, and Databricks introduced PixelRAG, a retrieval system that bypasses traditional text parsing by rendering web pages as screenshots and indexing them directly for vision-language models. Tested on 30 million Wikipedia screenshot tiles, PixelRAG improved accuracy by up to 18.1% over text-based RAG systems and reduced token costs by 10x. The approach addresses fundamental information loss in conventional HTML-to-text conversion pipelines.

Google DeepMind introduced Gemma 4 12B, a multimodal AI model designed to run on consumer laptops with 16GB of RAM. The model uses an encoder-free architecture that processes vision and audio inputs directly into the language model backbone, reducing latency and memory overhead. Performance approaches the larger 26B model while maintaining a smaller footprint, and it is released under an Apache 2.0 license.

Google has launched Gemini 3.5 Live Translate, a near real-time speech translation feature now available in Google AI Studio, Google Translate, and Google Meet. The system delivers natural-sounding voice translation with minimal latency. The rollout represents a significant step toward breaking down language barriers in professional and consumer communication.

Google released Gemma 4 12B, an 11.95-billion-parameter open-source model that runs entirely on a standard 16GB enterprise laptop without requiring cloud connectivity. The model uses an encoder-free architecture that processes audio and video directly without secondary processing modules, reducing latency and memory overhead. It includes a 256K token context window, native tool-use capabilities, and step-by-step reasoning mode, making it suitable for enterprises with strict data privacy requirements.