Google AI Technology

Posted by Bingyi Cao, Software Engineer, Google Research, and Mário Lipovský, Software Engineer, Google Lens Computer vision models see daily application for a wide variety of tasks, ranging from object r […]

Posted by Qifei Wang, Senior Software Engineer, and Feng Yang, Senior Staff Software Engineer, Google Research Deep learning models for visual tasks (e.g., image classification) are usually trained end-to-end with […]

Posted by Arun Kandoor, Software Engineer, Google Research The increasing demand for machine learning (ML) model inference on-device (for mobile devices, tablets, etc.) is driven by the rise of compute-intensive […]

Posted by Ehsan Amid, Research Scientist, and Rohan Anil, Principal Engineer, Google Research, Brain Team While model design and training data are key ingredients in a deep neural network’s (DNN’s) success, les […]

Posted by Tuan Anh Nguyen, Staff Software Engineer, Google Assistant, and Sourish Chaudhuri, Staff Software Engineer, Google Research In natural conversations, we don’t say people’s names every time we speak to […]

Posted by Maxim Tabachnyk, Staff Software Engineer and Stoyan Nikolov, Senior Engineering Manager, Google Research The increasing complexity of code poses a key challenge to productivity in software engineering. […]

Posted by Winnie Xu, Student Researcher and Kuang-Huei Lee, Software Engineer, Google Research, Brain Team Current deep reinforcement learning (RL) methods can train specialist artificial agents that excel at […]

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 […]

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 […]

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 […]

Posted by Soravit Beer Changpinyo and Doron Kukliansky‎, Senior Software Engineers, Google Research Visual Question Answering (VQA) is a useful machine learning (ML) task that requires a model to answer a visual q […]

Posted by Qihang Yu, Student Researcher, and Liang-Chieh Chen, Research Scientist, Google Research Panoptic segmentation is a computer vision problem that serves as a core task for many real-world applications. […]

Posted by Danijar Hafner, Student Researcher, Google Research Research into how artificial agents can make decisions has evolved rapidly through advances in deep reinforcement learning. Compared to generative ML […]

Posted by Been Kim, Research Scientist, Google Research, Brain Team, and Alison Lentz, Senior Staff Strategist, Google Research, Mural Team Advances in computer vision and natural language processing continue to […]

Over the last year, we’ve seen artificial intelligence (AI) systems advance our work in areas like inclusive product development and support for small businesses and job seekers. We’ve also seen its potential to […]

Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster and smaller code arose together with the birth of modem computers. […]

Posted by Dan Walker and Dan Liebling, Software Engineers, Google Research People don’t write in the same way that they speak. Written language is controlled and deliberate, whereas transcripts of spontaneous s […]

Posted by Ethan Dyer and Guy Gur-Ari, Research Scientists, Google Research, Blueshift Team Language models have demonstrated remarkable performance on a variety of natural language tasks — indeed, a general le […]

Five years ago, information designer Mahima Pushkarna joined Google to make data easier to understand. As a senior interaction designer on the People + AI Research (PAIR) team, she designed Data Cards to help […]

Natural language processing (NLP) is a form of artificial intelligence that teaches computer programs how to take in, interpret, and produce language from large data sets. For example, grammar checkers use NLP to […]