Learn AI

by Google Research blog

MilleMiglia: Modeling the Hidden Middle Mile

MilleMiglia: A realistic instance generator for middle-mile logistics
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How AI Helps Teachers Build Interactive Learning

The future of practice: Enabling teachers to create learning interactives with generative UI
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How Retrieve-for-Train Makes AI Search Faster and Smarter

Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train
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How ToolGrad Trains AI Agents to Use Tools Efficiently

ToolGrad: Efficient tool-use dataset generation with textual "gradients"
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When Transfer Learning Hurts Genetic Risk Prediction

Transfer learning for genomic prediction in underrepresented populations
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How AI Mapped a Fruit Fly’s Entire Brain

A connectomics milestone: Mapping the complete male fruit fly brain
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How AI Maps Methane Emissions From Space

Mapping global methane emissions from space with deep learning
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How TimesFM-3 Forecasts Multiple Time Series at Once

TimesFM-3: A zero-shot foundation model for multivariate forecasting
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How AI Automates Planet-Scale Geospatial Prediction

Planetary prediction engine: Automating global models via Earth AI
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How GlucoFM Turns CGM Data Into Metabolic Insights

GlucoFM: Foundation model for continuous glucose monitoring
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How AI Uses Hand Gestures to Guide You in XR

AgentHands: Generating interactive hand gestures for spatially grounded agent conversations in XR
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How Mobility Helps AI Understand Places and City Rhythms

How mobility gives language models a deeper understanding of place
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How AI Finds Reliable Biomarkers in Wearable Data

An AI tool for prioritizing candidate biomarkers from wearable sensor data
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Beyond BMI: How Smartphone Photos Predict Insulin Resistance

Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery
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Why LLMs Forget Facts They Already Know

Empty shelves or lost keys? Recall is the bottleneck for parametric factuality
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How AMIE Uses Video for Expert-Level Clinical Consultations

Advancing AMIE towards expert-level audio-visual clinical consultations
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How AI Scientists Make Research Verifiable

Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence
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SymptomAI: Towards a conversational AI agent for everyday symptom assessment

SymptomAI: Towards a conversational AI agent for everyday symptom assessment
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Towards a quantum computer that learns from its errors

Towards a quantum computer that learns from its errors
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Towards demystifying the creativity of diffusion models

Towards demystifying the creativity of diffusion models
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