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', 'BioBERT', 'Chinchilla', 'ClinicalBERT', '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']

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Research 🇺🇸

SensorFM: A Foundation Model for Wearables Trained on a Trillion Minutes of Data

Google Research introduces SensorFM, a foundation model for wearable health pre-trained on over a trillion minutes of sensor data from five million people. It learns a general-purpose representation of human physiology that transfers to 35 health tasks, supports label-efficient adaptation, and can ground a Personal Health Agent.

Google/DeepMind

DeepMind

Fitbit

Google Research27.07 · 03:04

Models 🇺🇸

Large Tabular Models Outperform LLMs on Structured Data

A new type of generative AI, the large tabular model (LTM), is emerging to handle structured data like spreadsheets, which large language models (LLMs) struggle with. Startup Fundamental has released NEXUS, an LTM adopted by AWS, while Google and others have launched competitors. LTMs model tabular data directly, enabling accurate predictions without the sequential limitations of LLMs.

Google/DeepMind

Feedzai

Mastercard

Amazon Web Services

IEEE Spectrum AI27.07 · 03:04

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