Google Research

• GlucoFM Gen 7 Research preview

  Released 3mo ago

  A self supervised foundation model for continuous glucose monitoring data. It uses a dual stream transformer architecture that separates slow glycemic trends from short term deviations, pretrained on over 109,000 hours…

  • 📊 Diabetes data analysis
  • 🔬 Medical data analysis
  • 🏥 Health
  • 🩸 Diabetes
  • 💉 Healthcare diagnostics
  • 🎲 Risk assessment Structured Data

Repositories

• agentic-visualization CoDA is a multi-agent framework that turns natural language queries into publication-quality visualizations.
• bert TensorFlow code and pre-trained models for BERT
• deeplab2 DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFl…
• e3x E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of…
• envharness EnvHarness*: Awakening Static Worlds for Agent Learning
• google-research Google Research
• l2p Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsa…
• pointdit [ICML'26] PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
• project-guideline Project Guideline is a research project that leverages on-device ML to enable people who are blind and low-vi…
• scenic Scenic: A Jax Library for Computer Vision Research and Beyond
• t5x T5X
• tabfm TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for ta…
• timesfm TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Resea…
• zapbench The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolutio…

Papers

• AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE While the Transformer architecture has become the de-facto standard for natural language processing tasks, it…
• Attention Is All You Need The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in…
• AudioLM: A Language Modeling Approach to Audio Generation We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps…
• Fast Inference from Transformers via Speculative Decoding Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs…
• Least-to-Most Prompting Enables Complex Reasoning in Large Language Models Chain-of-thought prompting has demonstrated remarkable performance on various natural language reasoning task…
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis We present a method that achieves state-of-the-art results for synthesizing novel views of complex scenes by…
• PaLM: Scaling Language Modeling with Pathways Large language models have been shown to achieve remarkable performance across a variety of natural language…
• Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep le…
• Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Recently, there has been significant progress in teaching language models to perform step-by-step reasoning t…
• Scaling Autoregressive Models for Content-Rich Text-to-Image Generation We present the Pathways Autoregressive Text-to-Image (Parti) model, which generates high-fidelity photorealis…
• Synergizing Reasoning and Acting in Language Models While large language models (LLMs) have demonstrated impressive capabilities across tasks in language underst…