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']

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Models 🇺🇸

DiffusionGemma: 4x faster text generation

Google DeepMind has introduced DiffusionGemma, an experimental open 26B Mixture of Experts model that uses text diffusion to generate up to 4x faster than autoregressive LLMs on GPUs. It simultaneously processes 256-token blocks, targeting speed-critical local workflows like in-line editing, and is released under Apache 2.0 on Hugging Face.

Google/DeepMind

DeepMind

NVIDIA

Google DeepMind27.07 · 12:02

Hardware & Inference 🇺🇸

Low-Carbon Computing Platform from Old Smartphones

Researchers at UC San Diego, with Google's support, are building a computing platform from retired smartphones. By extracting motherboards from old phones and clustering them, they aim to create a low-cost, low-carbon datacenter using 2,000 Pixel phones. This approach reduces embodied carbon by reusing hardware that would otherwise be discarded.

Google/DeepMind

University of California San Diego

Google Research27.07 · 11:06

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