Google Research
Company research.google ● Covered in 24 stories + Follow ✴ AI Graph
Google Research is involved in developing and releasing a range of AI models and research frameworks across tool use, forecasting, and foundation-model approaches. Recent work includes ToolGrad for tool-use data generation, TimesFM-3 for multivariate time-series forecasting, GlucoFM for continuous glucose monitoring (research prototype), and WeatherNext 3 integrated across Google Search, Gemini, Maps, and related platforms. Google Research has also published research on tabular AI with TabFM, mobility-informed place embeddings (ME-POIs), and applications such as biomarker prioritization from wearable data and navigation changes to reduce traffic congestion.
Updated 14 September 2026
Signals
8 stories (+700%)
Media momentum
As of 17 Sep 2026 · Visible stories in the last 30 days, compared with the 30 days before.
7 sources
Source diversity
As of 17 Sep 2026 · Distinct publications behind this entity's visible coverage.
2 events
Release activity
As of 17 Sep 2026 · Model, product and open-source release events in the last 90 days whose coverage involves this entity.
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Funding signals
As of 17 Sep 2026 · Funding and acquisition events in the last 90 days whose coverage involves this entity.
Sep 2025 → Sep 2026
Coverage span
As of 17 Sep 2026 · First to most recent month of TLDRocket coverage of this entity.
Latest developments
Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query Fan-Out
MarkTechPost · 12 hours ago ·
34
Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation
MarkTechPost · 6 days ago ·
12
Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Google · 2 weeks ago ·
21
Google’s latest AI weather model gives you no excuse to forget your umbrella
TechCrunch · 2 weeks ago ·
44
Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting
MarkTechPost · 2 weeks ago ·
18
Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring
MarkTechPost · 3 weeks ago ·
51
Google Research Introduces ME-POIs: A Mobility-Informed Framework that Adds “How a Place Is Used” to Text-Based POI Embeddings
MarkTechPost · 3 weeks ago ·
19
An AI tool for prioritizing candidate biomarkers from wearable sensor data
Google Research · 3 weeks ago ·
27
2026
Google Research introduces Retrieve-for-Train (R4T), a training-time RL-compiled approach for faster set-valued AI retrieval Research publication
Google Research released the ToolGrad framework for generating tool-use training datasets for LLMs Research publication
Google Research releases TimesFM-3, a zero-shot multivariate time-series forecasting foundation model Model release
Google Research and UNSW Sydney publish and describe GlucoFM, a self-supervised foundation model for continuous glucose monitoring Research publication
Google Research releases Empirical Research Assistance AI system and open-source scientific tools Open source release
Google Research publishes studies on AI-assisted breast cancer screening showing improved detection rates and reduced radiologist workload Research publication
- Google Research Introduces Retrieve-for-Train (R4T): An RL-Compiled Diffusion Retriever for 12× to 20× Faster Query Fan-Out
- Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation
- Introducing WeatherNext 3, our most advanced and accurate global weather AI model
- Google’s latest AI weather model gives you no excuse to forget your umbrella
- Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting
- Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring
- Google Research Introduces ME-POIs: A Mobility-Informed Framework that Adds “How a Place Is Used” to Text-Based POI Embeddings
- An AI tool for prioritizing candidate biomarkers from wearable sensor data
- Despite AI hype, Google's data shows workers aren't automating themselves away
- The Sequence AI of the Week #891: Prompting a Spreadsheet : Inside Google’s TabFM for Tabular AI
- The power of collaboration: How we can reduce traffic congestion
- Expanding our Heat Resilience data to 50+ global cities
- Introducing AIMIP: The AI weather and climate model intercomparison project
- Catalyzing scientific impact through global partnerships and open resources
- Four ways Google Research scientists have been using Empirical Research Assistance
- AI-generated synthetic neurons speed up brain mapping
- Mapping the modern world: How S2Vec learns the language of our cities
- Google Research at The Check Up: from healthcare innovation to real-world care settings
- Improving breast cancer screening workflows with machine learning
- WAXAL: A large-scale open resource for African language speech technology
2025
Relationships
Products & technology
- Develops MedGemma · 2 sources
- Develops WeatherNext 3 · 2 sources
- Develops WeatherNext 2 · 1 source
- Develops DeepVariant · 1 source
- Develops NeuralGCM · 1 source
- Develops Empirical Research Assistance · 1 source
- Integrated with Sentinel-2 · 1 source
- Develops Google Maps · 1 source
- Develops TimesFM-ICF · 1 source
- Develops DeepSomatic · 1 source
- Develops WAXAL · 1 source
Partnerships
- Partnered with NHS · 1 source