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Real-time tracking of wildfire boundaries using satellite imagery

Posted by Zvika Ben-Haim and Omer Nevo, Software Engineers, Google Research As global temperatures rise, wildfires around the world are becoming more frequent and more dangerous. Their effects are felt by many communities as people evacuate their homes or suffer harm even from proximity to the fire and smoke. As part of Google’s mission to …

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How to use advance feature engineering to preprocess data in BigQuery ML

Preprocessing and transforming raw data into features is a critical but time consuming step  in the ML process.  This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, we describe how we streamline this process by adding two feature engineering capabilities …

5 misconceptions about cloud data warehouses

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights. The rise of cloud has allowed data warehouses to provide new capabilities …

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Google Research, 2022 & beyond: ML & computer systems

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning (ML) research requires great systems. With the increasing sophistication of …

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the tools needed to increase their …

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Advancing cancer research with public imaging datasets from the National Cancer Institute Imaging Data Commons

Medical imaging offers remarkable opportunities in research for advancing our understanding of cancer, discovering new non-invasive methods for its detection, and improving overall patient care. Advancements in artificial intelligence (AI), in particular, have been key in unlocking our ability to use this imaging data as part of cancer research. Development of AI-powered research approaches, however, …