Google/DeepMind

Latest AI news, models and releases from Google/DeepMind. ['A2UI v0.9', 'AI Co-Scientist', 'AI Evaluator', 'AI Mode', 'AI Overviews', 'AlphaEvolve', 'AlphaFold', 'AlphaGenome', 'AlphaQubit', 'Antigravity', 'Auto frame', 'BERT', 'Chinchilla', 'Computational Discovery', 'Confidential GKE Nodes', 'Co-Scientist', 'Empirical Research Assistance', 'Era', 'ERA', 'Executive LLM', 'Farmscapes 2020', 'Flood Hub', 'frontier AI', 'Frozen v2', 'FunctionGemma', 'Gemini', 'Gemini 1.5 Flash', 'Gemini-1.5-pro', 'Gemini 1.5 Pro', 'Gemini 2.0 Flash', 'Gemini 2.5', 'Gemini 2.5 Flash', 'Gemini-2.5 Flash', 'Gemini-2.5-Flash', 'gemini-2.5-flash-image', 'Gemini 2.5 Pro', 'Gemini-2.5 Pro', 'Gemini-2.5-Pro', 'Gemini 3.1 Flash', 'gemini-3.1-flash-image']

Agents 🇺🇸

Gemini Enterprise Agent Platform Introduces Agentic RAG: A Multi-Agent System for Reliable Answers to Complex Queries

Google Research and Google Cloud have launched Agentic RAG, a multi-agent system built on top of the Gemini Enterprise Agent Platform. It surpasses standard RAG by decomposing complex queries into sub-tasks and iteratively gathering context using specialized agents, including a "Sufficient Context Agent" that checks the completeness of collected information and triggers re-search if needed. This improves accuracy on benchmarks by up to 34% when working with multiple data sources.

Google/DeepMindGoogle/DeepMind Google CloudGoogle Cloud GeminiGemini
Google Research27.07 · 12:04
Models 🇺🇸

Google DeepMind introduces Gemma 4 12B: a unified multimodal model without encoders

Google DeepMind has unveiled Gemma 4 12B, a mid-sized multimodal AI model that processes vision and audio directly without separate encoders. Designed to run on laptops with 16GB RAM, it offers advanced reasoning and agentic capabilities. The model is released under Apache 2.0 license and supports developer tools like Hugging Face, Ollama, and Google Cloud.

Google/DeepMindGoogle/DeepMind Google DeepMindGoogle DeepMind
Google DeepMind27.07 · 12:03
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