Google Research

Google Research

research.google/blog/
32
Articles
7月10日 03:01
Last updated
MedGemma: Our most capable open models for health AI development

MedGemma: Our most capable open models for health AI development

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api cloud tool
REGEN: Empowering personalized recommendations with natural language

REGEN: Empowering personalized recommendations with natural language

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api library tool
MUVERA: Making multi-vector retrieval as fast as single-vector search

MUVERA: Making multi-vector retrieval as fast as single-vector search

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api tool
From research to climate resilience

From research to climate resilience

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api tool
Unlocking rich genetic insights through multimodal AI with M-REGLE

Unlocking rich genetic insights through multimodal AI with M-REGLE

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api tool
A colorful quantum future

A colorful quantum future

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framework tool
Optimizing LLM-based trip planning

Optimizing LLM-based trip planning

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api tool
Zooming in: Efficient regional environmental risk assessment with generative AI

Zooming in: Efficient regional environmental risk assessment with generative AI

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api cloud tool
Learning to clarify: Multi-turn conversations with Action-Based Contrastive Self-Training

Learning to clarify: Multi-turn conversations with Action-Based Contrastive Self-Training

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api tool
Fine-tuning LLMs with user-level differential privacy

Fine-tuning LLMs with user-level differential privacy

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api cloud tool
Google Research at Google I/O 2025

Google Research at Google I/O 2025

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platform tool
Deeper insights into retrieval augmented generation: The role of sufficient context

Deeper insights into retrieval augmented generation: The role of sufficient context

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Differential privacy on trust graphs

Differential privacy on trust graphs

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Bringing 3D shoppable products online with generative AI

Bringing 3D shoppable products online with generative AI

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A new light on neural connections

A new light on neural connections

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Making complex text understandable: Minimally-lossy text simplification with Gemini

Making complex text understandable: Minimally-lossy text simplification with Gemini

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Amplify Initiative: Localized data for globalized AI

Amplify Initiative: Localized data for globalized AI

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AMIE gains vision: A research AI agent for multimodal diagnostic dialogue

AMIE gains vision: A research AI agent for multimodal diagnostic dialogue

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Benchmarking LLMs for global health

Benchmarking LLMs for global health

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Improving brain models with ZAPBench

Improving brain models with ZAPBench

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Introducing Mobility AI: Advancing urban transportation

Introducing Mobility AI: Advancing urban transportation

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A new hybrid platform for quantum simulation of magnetism

A new hybrid platform for quantum simulation of magnetism

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InstructPipe: Generating Visual Blocks pipelines with human instructions and LLMs

InstructPipe: Generating Visual Blocks pipelines with human instructions and LLMs

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Teaching machines the language of biology: Scaling large language models for next-generation single-cell analysis

Teaching machines the language of biology: Scaling large language models for next-generation single-cell analysis

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Geospatial Reasoning: Unlocking insights with generative AI and multiple foundation models

Geospatial Reasoning: Unlocking insights with generative AI and multiple foundation models

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Evaluating progress of LLMs on scientific problem-solving

Evaluating progress of LLMs on scientific problem-solving

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ECLeKTic: A novel benchmark for evaluating cross-lingual knowledge transfer in LLMs

ECLeKTic: A novel benchmark for evaluating cross-lingual knowledge transfer in LLMs

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The evolution of graph learning

The evolution of graph learning

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Deciphering language processing in the human brain through LLM representations

Deciphering language processing in the human brain through LLM representations

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Load balancing with random job arrivals

Load balancing with random job arrivals

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Loss of Pulse Detection on the Google Pixel Watch 3

Loss of Pulse Detection on the Google Pixel Watch 3

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Generating synthetic data with differentially private LLM inference

Generating synthetic data with differentially private LLM inference

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