Quantum Supremacy Using a Programmable Superconducting Processor
Posted by John Martinis, Chief Scientist Quantum Hardware and Sergio Boixo, Chief Scientist Quantum Computing Theory, Google AI Quantum Physicists have been talking about the power of quantum computing for over 30 years, but the questions have always been: will it ever do something useful and is it worth investing in? For such large-scale endeavors it is good engineering practice to formulate deci
Quantum Supremacy Using a Programmable Superconducting Processor
Posted by John Martinis, Chief Scientist Quantum Hardware and Sergio Boixo, Chief Scientist Quantum Computing Theory, Google AI Quantum Physicists have been talking about the power of quantum computing for over 30 years, but the questions have always been: will it ever do something useful and is it worth investing in? For such large-scale endeavors it is good engineering practice to formulate deci
Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval
Posted by Bingyi Cao and Tobias Weyand, Software Engineers, Google AI Last year we released Google-Landmarks, the largest world-wide landmark recognition dataset available at that time. In order to foster advancements in research on instance-level recognition (recognizing specific instances of objects, e.g. distinguishing Niagara Falls from just any waterfall) and image retrieval (matching a speci
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Vid2Seq: a pretrained visual language model for describing multi-event videos
3D Scene Understanding with TensorFlow 3D
Background Features in Google Meet, Powered by Web ML
Recent Advances in Google Translate
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Google at ACL 2020
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Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
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Video Architecture Search
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EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
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