Posted by Cibu Johny, Software Engineer, Google Research and Saumya Dalal, Product Manager, Google Geo Nearly 75% of India’s population — which possesses the second highest number of internet users in the world — interacts with the web primarily using Indian languages, rather than English. Over the next five years, that number is expected to rise to...
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Posted by Alexander Ku, Software Engineer and Peter Anderson, Research Scientist, Google Research A core challenge in machine learning (ML) is to build agents that can navigate complex human environments in response to spoken or written commands. While today’s agents, including robots, can often navigate complicated environments, they cannot yet understand...
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Posted by Ankur Parikh and Xuezhi Wang, Research Scientists, Google Research In the last few years, research in natural language generation, used for tasks like text summarization, has made tremendous progress. Yet, despite achieving high levels of fluency, neural systems can still be prone to hallucination (i.e.generating text that is understandable,...
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Posted by Jennifer J. Sun, Student Researcher and Ting Liu, Senior Software Engineer, Google Research Everyday actions, such as jogging, reading a book, pouring water, or playing sports, can be viewed as a sequence of poses, consisting of the position and orientation of a person’s body. An understanding of poses from images and videos is a crucial step...
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Posted by Jeff Dean, Senior Fellow and SVP of Google Research and Health, on behalf of the entire Google Research community When I joined Google over 20 years ago, we were just figuring out how to really start on the journey of making a high quality and comprehensive search service for information on the web, using lots of curiously wired computers....
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Posted by Yanqi Zhou and Sudip Roy, Research Scientists, Google Research An increasing number of applications are driven by large and complex neural networks trained on diverse sets of accelerators. This process is facilitated by ML compilers that map high-level computational graphs to low-level, device-specific executables. In doing so, ML compilers...
Dec 2020
Posted by Nicholas Carlini, Research Scientist, Google Research Machine learning-based language models trained to predict the next word in a sentence have become increasingly capable, common, and useful, leading to groundbreaking improvements in applications like question-answering, translation, and more. But as language models continue to advance,...
Dec 2020
Posted by Yun-Ta Tsai1 and Rohit Pandey, Software Engineers, Google Research Professional portrait photographers are able to create compelling photographs by using specialized equipment, such as off-camera flashes and reflectors, and expert knowledge to capture just the right illumination of their subjects. In order to allow users to better emulate...
Dec 2020
Posted by Ivan Grishchenko and Valentin Bazarevsky, Research Engineers, Google Research Real-time, simultaneous perception of human pose, face landmarks and hand tracking on mobile devices can enable a variety of impactful applications, such as fitness and sport analysis, gesture control and sign language recognition, augmented reality effects and...
Dec 2020
Posted by Jaqui Herman and Cat Armato, Program ManagersThis week marks the beginning of the 34th annual Conference on Neural Information Processing Systems (NeurIPS 2020), the biggest machine learning conference of the year. Held virtually for the first time, this conference includes invited talks, demonstrations and presentations of some of the latest...
Dec 2020
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