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Algorithms & Theory

7 stories

Stories

  • How Diffusion Controller unifies and simplifies AI image generation

    The rapid advancement of text-to-image AI models, such as Nano Banana, Stable Diffusion and Flux, has fundamentally transformed creative design, allowing anyone to synthesize photorealistic, high-fidelity images from textual descriptions.

    Google Research Blog7 min read
  • How mobility gives language models a deeper understanding of place

    We introduce a dynamic, mobility-informed framework that allows AI models to understand the temporal activity rhythms of places over time, and, in doing so, significantly improve predictions about real-world attributes like opening hours, price levels, and busyness.

    Google Research Blog7 min read
  • Towards demystifying the creativity of diffusion models

    Diffusion models are currently one of the most powerful types of tools for generative tasks that require complex and local structures, such as image generation and molecular discovery.

    Google Research Blog7 min read
  • The power of collaboration: How we can reduce traffic congestion

    Vehicle transportation underpins much of modern life, enabling the movement of goods and people, productivity, and economic growth. However, the costs are high: drivers spend an average of 2.6 years of their life on the road, and private cars and vans now account for around 10% of global CO2…

    Google Research Blog6 min read
  • Optimizing cloud economics with linear elastic caching

    Linear elastic caching minimizes total cache cost by framing page eviction as a ski rental problem, using lightweight machine learning to optimize the trade-off between memory footprint and cache misses.

    Google Research Blog7 min read

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