156 posts
Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence July 30, 2026 Rui Meng, Research Scientist, and Tomas Pfister, Director, Google Cloud Introducing the Science One Framework, an experimental research prototype designed to eliminate hallucina…
SymptomAI: Towards a conversational AI agent for everyday symptom assessment July 22, 2026 Joseph Breda, Student Researcher, and Jake Sunshine, Research Scientist, Google Research We present a first-of-its-kind research of AI for differential diagnosis and symptom checking throu…
Towards a quantum computer that learns from its errors July 22, 2026 Volodymyr Sivak and Paul Klimov, Research Scientists, Google Quantum AI, Google Research By integrating reinforcement learning with quantum error correction, we showed that a quantum computer can continuously a…
Towards demystifying the creativity of diffusion models July 15, 2026 Zhengdao Chen, Research Scientist, Google Research We show that a diffusion model’s creativity (its ability to generate novel data, rather than just memorize its training set) is a mathematical consequence of…
SensorFM: Towards a general intelligence and interface for wearable health data July 9, 2026 Xin Liu, Senior Research Scientist, and Daniel McDuff, Staff Research Scientist, Google Research We present SensorFM, a foundation model for wearable health pre-trained on more than one…
The power of collaboration: How we can reduce traffic congestion July 7, 2026 Neha Arora and Aboudy Kreidieh, Software Engineers, Google Research We demonstrate the effect of network-aware routing in navigation apps on improving network efficiency. Quick links Paper Share Copy l…
Expanding our Heat Resilience data to 50+ global cities June 30, 2026 David Fork, Staff Research Scientist, and Jules Kuperminc, Product Manager, Google Research We’re releasing an expanded dataset of building-level rooftop reflectivity covering 50+ global cities to help urban p…
Introducing TabFM: A zero-shot foundation model for tabular data June 30, 2026 Weihao Kong and Abhimanyu Das, Research Scientists, Google Research We’ve seen a massive shift in how people handle time-series forecasting since we launched TimesFM. Now, we’re bringing that same "ze…
Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction June 26, 2026 Eden Cohen, Research Product Manager, and Michelle Ramanovich, Research Manager, Google Platforms and Devices We introduce a method to retrofit Multi-Token Prediction onto frozen production…
Optimizing cloud economics with linear elastic caching June 25, 2026 Todd Lipcon, Distinguished Engineer, Google Cloud, and Manish Purohit, Research Scientist, Google Research Linear elastic caching minimizes total cache cost by framing page eviction as a ski rental problem, usi…
Thinking to recall: How reasoning unlocks parametric knowledge in LLMs June 24, 2026 Zorik Gekhman and Jonathan Herzig, Research Scientists, Google Research We study the counterintuitive phenomenon where reasoning helps language models recall simple facts, even when no complex s…
From pixels to planning: Earth AI for nature restoration June 16, 2026 Michelangelo Conserva, Research Scientist, and Charlotte Stanton, Senior Program Manager, Google Research We developed a high-resolution deep learning framework to reveal fine-scale ecological features, like…
A low-carbon computing platform from your retired phones June 12, 2026 Jennifer Switzer, Visiting Postdoctoral Researcher, and David Patterson, Fellow, Google With support from Google, Researchers at the University of California San Diego are building a useful second-life for co…
Research into how AI can help users understand skin conditions June 12, 2026 Rory Sayres and Yun Liu, Research Scientists, Google Research We present recent published findings on how dermatology AI tools may help laypeople with their own skin-related questions. Quick links Paper…
New framework for auditing machine unlearning June 10, 2026 Mónica Ribero, Research Scientist, Google Research We introduce a method designed to confidently determine whether there is statistically significant evidence that two sets of data observations come from entirely differ…