Google Research announced a next-generation Federated Learning system that uses Trusted Execution Environments (TEEs) to provide fully verifiable and auditable data anonymization guarantees, with Gboa…
Google Research software engineers Chih-wei Hsu and Moonkyung Ryu introduced Diffusion Controller, a lightweight "steering damper" network that attaches to text-to-image models, including access-restr…
Google research scientists Yale Song and Yiwen Song introduced a unified multi-agent framework that autonomously generates temporally consistent, long-form video narratives, built as an orchestration …
Google Research unveiled a new research experiment that lets educators generate custom, interactive educational simulations using a novel application of generative user interfaces (GenUI) optimized fo…
Google Research researchers Pengcheng Jiang and Judith Yue Li published an ICML 2026 paper describing Retrieve-for-Train, a reward-to-data compilation framework that uses offline reinforcement learnin…
Google researchers Zhongyi Zhou and Ruofei Du introduced ToolGrad, a data generation framework that reverses the traditional tool-use dataset paradigm by generating ground-truth tool-use chains before…
Google Research engineers Vishal Batchu and Michelangelo Conserva developed MAPL-EMIT, a deep-learning framework that automates detection and quantification of methane plumes from NASA's EMIT hyperspe…
Google Research introduced TimesFM-3, a 330-million-parameter time series foundation model that performs multivariate forecasting in a single forward pass, pre-trained on over 1 trillion time points. …
Google Research introduced the planetary prediction engine (PPE), an experimental AI system that autonomously executes the full geospatial modeling workflow from data discovery to model training, redu…
Google researchers introduced MapTrace, a synthetic data generation pipeline and dataset of 2 million question-answer pairs, to teach multimodal large language models (MLLMs) to trace routes on maps, …
Google XR researchers Xun Qian and Ruofei Du introduced AgentHands, an LLM-powered extended reality (XR) prototype that generates synchronized, expressive hand gestures for spatially grounded agent co…
Google researchers introduced the Biomarker Discovery Framework, a multi-agent system that prioritizes candidate biomarkers from wearable sensor data with human oversight. Across three cohorts totalin…
Google Research introduced Mobility-Embedded POIs (ME-POIs), a framework that blends text descriptions with aggregated, anonymized mobility patterns to improve language models' understanding of places…
Google Research scientists Cassie Zhou and Ahmed Metwally demonstrated that PhotoScan, a deep learning framework estimating body composition from smartphone photos, can predict insulin resistance with…
Google Research scientists Nitay Calderon and Gal Yona introduced knowledge profiling, a framework showing that frontier LLMs like Gemini3 and GPT-5 encode nearly all facts but fail to recall many, ma…
Google researchers advanced AMIE, its research medical AI system, to conduct real-time video consultations, demonstrating expert-level performance in a randomized controlled study with simulated consu…
Google Cloud researchers Rui Meng and Tomas Pfister introduced the Science One Framework, an experimental autonomous research prototype that eliminates hallucinations by building verifiable evidence c…
Google Research published a first-of-its-kind national-scale study (n=13,917) showing that a conversational AI agent powered by Gemini Flash 2.0 can conduct end-to-end symptom interviews and different…
Google Quantum AI researchers Volodymyr Sivak and Paul Klimov demonstrated that a quantum computer can continuously adapt to drift and remain stable during long computations by integrating reinforceme…
A diffusion model's creativity is a mathematical consequence of neural networks learning a 'smoothed' version of the score function, driving the model to interpolate between training data points along…