
Google Research
@GoogleResearch • 103,154 subscribers
Impossible? Let’s see. From algorithms to neuroscience to AI, Google Research strives to progress science, advance society & improve billions of people’s lives.
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Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses. 📜→
Google Research506,553 просмотров • 1 месяц назад

Introducing a research system that enables passive heart rate monitoring (PHRM) during everyday smartphone use. Using the front-facing camera, it achieves industry accuracy standards for heart rate across all skin tones. Check out the blog to learn more:
Google Research218,909 просмотров • 1 месяц назад

No one should ever be surprised by a natural disaster. ✨ That is our north star for crisis resilience, as highlighted by Yossi Matias, GM of Google Research and Google Crisis Resilience Lead, where he also shares how we're using AI to predict floods, wildfires, and extreme weather to help keep communities safe globally. 🌍👇 Explore our work: Read the latest blog on our progress:
Google Research18,730 просмотров • 7 дней назад

For 10 years, Google has worked to accurately read the operating manual of all life on Earth — the genome. Our AI tools are now used by partners for real-world challenges from improving healthcare to biodiversity conservation. Check out the key milestones ↓
Google Research119,112 просмотров • 9 месяцев назад

Introducing a new approach for editing images, now live in the Auto frame feature in Google Photos. Our method interprets 2D photos as 3D scenes, allowing you to re-capture moments from a new perspective after the photos have been taken. Read all about it:
Google Research23,793 просмотров • 2 месяцев назад

What if we could use AI to identify genetic variants in cancer cells? DeepSomatic uses ML to find key DNA variants with higher accuracy, aiming to create a better understanding of cancer’s underpinnings and support partners in designing more effective, personalized treatments.
Google Research12,495 просмотров • 9 месяцев назад

Ensuring generalization of LLMs in response to distribution shifts is especially important for medical and health-related models. Here we describe AfriMed-QA, an open-source benchmark question–answer dataset sourced from countries across Africa. More at
Google Research11,526 просмотров • 9 месяцев назад
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