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…
Google Research introduced TabFM, a zero-shot foundation model for tabular data classification and regression, integrated into BigQuery ML. The model uses in-context learning to eliminate manual train…
Google announced a method to retrofit Multi-Token Prediction onto frozen Gemini Nano v3 models, accelerating on-device inference for Pixel 9 and 10 series devices. The approach appends a lightweight T…
Google Cloud and Google Research introduced linear elastic caching, a new approach that dynamically adjusts cache size using machine learning to minimize total cost of ownership. The method frames pag…
Researchers at Google Research found that allowing large language models to generate reasoning traces improves recall of simple factual knowledge, even when no complex reasoning is needed. The phenome…
Google Research developed MoGen, an AI model that generates synthetic neuron geometries to improve brain mapping. The model reduced reconstruction errors by 4.4%, potentially saving 157 person-years o…
Google Research released a vectorized dataset of fine-scale ecological features across England, including hedgerows and copses, using a deep learning framework to reveal features invisible to standard…
Google Research scientists Rory Sayres and Yun Liu published findings in JAMA Dermatology showing that AI tools can help laypeople better identify skin conditions and determine appropriate next steps.…
Researchers at Google Research introduced Regularized f-Divergence Kernel Tests, a new framework for auditing machine unlearning that improves sensitivity and accuracy in verifying whether AI models h…
Google Research and Google Cloud introduced a new agentic retrieval-augmented generation (RAG) framework hosted on the Gemini Enterprise Agent Platform, designed to break down complex enterprise queri…
Google Research has open-sourced its hydrology modeling framework on GitHub, allowing National Meteorological and Hydrological Services worldwide to integrate advanced AI-based flood forecasting into …
At Google I/O 2026, Google Research unveiled Gemini for Science, a suite of experimental AI tools built on foundational systems including Empirical Research Assistance (ERA) and Co-Scientist, both pub…
Google Research introduced a new private analytics system combining cryptographic secure aggregation with trusted execution environments (TEEs) to achieve zero-trust privacy guarantees. The solution p…
Google today published Empirical Research Assistance (ERA), an AI tool that uses Gemini to write and optimize scientific code, in the journal *Nature*. The tool, which achieves expert-level performanc…