趋势解读：Catalyzing scientific impact through global partnerships and open，提升开发者接入体验

Our approach to open science is built on principles of responsible, inclusive, and rigorous research, empowering a global community to drive high-impact discoveries across disciplines and accelerate progress for all. A scientific breakthrough reaches its full potential only when it empowers others to replicate and expand upon findings, pushing the boundaries of science even further. At Google Research, we recognize that open-source software and open-access datasets are drivers of modern science. We believe that creating these resources responsibly and maintaining them through partnerships with the global scientific community embodies the spirit of collaboration. In this way, we uphold the principles of open science, ensuring that innovation is not a siloed event but a catalyst for worldwide progress. Whether it’s the Transformer architecture that reshaped automated language processing, or our specialized models transforming medicine, genomics, neuroscience, climate, energy, and a host of other efforts across the physical, life, and social sciences, we are proud of the work we’ve shared and how it’s being used by researchers around the globe to unlock their own groundbreaking discoveries. This open approach complements our breadth of initiatives across Google to engage and strengthen the research and science ecosystem, including through APIs, publications, conferences, trusted tester programs and private partnerships. We collaborate with numerous specialized organizations across scientific disciplines and global regions, such as the University of California Santa Cruz (UCSC) Genomics Institute , Janelia Research Campus , Institute of Science & Technology Austria (ISTA), the Centre for Population Genomics , CSIRO - Australia’s national science agency , and the All India Institute of Medical Sciences (AIIMS). Beyond individual organizations, we actively support widespread scientific consortia undertaking monumental, global challenges, including the Human Pangenome Research Consortium , the Earth BioGenome Project and the NIH BRAIN Initiative . Ultimately, our open-science philosophy extends to the broader ecosystem and we are investing in building communities of practice for individual scientific developers, starting in India , Korea , Japan and Australia . Over the last decade, we have developed, released, maintained and evolved several key open-source technologies and open access datasets. To date these have empowered an active ecosystem of more than 250,000 researchers and developers worldwide. Genomics : Our suite of deep learning tools, including DeepVariant , DeepConsensus and DeepPolisher , improve DNA analysis from raw sequencing to final assemblies. These methods have collectively enabled the global community to process the exomes and whole genomes of 2.5 million individuals. Neuroscience : Our methods and tools for automated reconstruction, analysis, and visualization of connectomic data include flood-filling networks , Neuroglancer , and TensorStore . These technologies allow scientists to seamlessly segment, navigate, and analyze petascale, high-resolution brain tissue reconstructions. This includes two key publicly available datasets: H01 , a 1.4 petabyte sample of human brain tissue accessed over 200k times, and MICrONS , the largest wiring diagram and functional map of the mouse visual cortex. Earth & Atmospheric Modeling : We have released Open Buildings , which contains 1.8 billion building detections, across an inference area of 58M km2 covering Africa, South Asia, South-East Asia, Latin America and the Caribbean; Caravan , a community-driven dataset for large-sample hydrology, as part of our flood forecasting effort which now provides prediction in 150 countries covering 2B people for the most significant floods, and the Groundsource dataset for urban flash floods , comprising of 2.6 million historical flood events derived using Gemini on 20 years of public data spanning more than 150 countries; and Ne