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Simplified Transfer Learning for Chest Radiography Model Development

Posted by Akib Uddin, Product Manager and Andrew Sellergren, Software Engineer, Google Health Every year, nearly a billion chest X-ray (CXR) images are taken globally to aid in the detection and management of health conditions ranging from collapsed lungs to infectious diseases. Generally, CXRs are cheaper and more accessible than other forms of medical imaging. …

Google at ICML 2022

Posted by Cat Armato, Program Manager, University Relations Google is a leader in machine learning (ML) research with groups innovating across virtually all aspects of the field, from theory to application. We build machine learning systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. Core …

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Towards Reliability in Deep Learning Systems

Posted by Dustin Tran and Balaji Lakshminarayanan, Research Scientists, Google Research Deep learning models have made impressive progress in vision, language, and other modalities, particularly with the rise of large-scale pre-training. Such models are most accurate when applied to test data drawn from the same distribution as their training set. However, in practice, the data …

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Operationalizing data fabric: Through the lens of trading platforms

Take a second to think about all the ways data has changed in the last 20 years. In the hardware space, our mobile phones started out as large handhelds with pull-out antennas and limited processing power. Now they are advanced pieces of technology with a computational power 32,600 times faster than the computers we used …