Posted by Candice Schumann and Susanna Ricco, Software Engineers, Google Research In 2016, we introduced Open Images, a collaborative release of ~9 million images annotated Read More
Arnab Bose and Yuheng Kuang, Staff Software Engineers, Robotics at Google Disciplines in the natural sciences, social sciences, and medicine all have to grapple with Read More
Posted by Joel Shor, Software Engineer, Google Research, Tokyo and Sachin Joglekar, Software Engineer, TensorFlow Representation learning is a machine learning (ML) method that trains Read More
Posted by Diego Martin Arroyo, Software Engineer and Federico Tombari, Research Scientist, Google Research Information in a written document is not only conveyed by the Read More
Posted by AJ Maschinot, Senior Software Engineer and Jenny Huang, Product Manager, Google Research In recent years, self-supervised representation learning, which is used in a Read More
Nithya Sambasivan, Research Scientist, Google Research Data is a foundational aspect of machine learning (ML) that can impact performance, fairness, robustness, and scalability of ML Read More
Daniel Ho, Software Engineer, The Everyday Robot Project and Kanishka Rao, Staff Software Engineer, Robotics at Google Reinforcement and imitation learning methods in robotics research Read More
Posted by Tim Blakely, Software Engineer and Michał Januszewski, Research Scientist, Connectomics at Google In January 2020 we released the fly “hemibrain” connectome — an Read More
Posted by Han Zhang, Research Scientist and Jing Yu Koh, Software Engineer, Google Research Automatic text-to-image synthesis, in which a model is trained to generate Read More
Posted by Alan Cowen, Visiting Researcher and Gautam Prasad, Software Engineer, Google Research It might seem reasonable to assume that people’s facial expressions are universal Read More