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Posted by Mingxing Tan and Zihang Dai, Research Scientists, Google Research As neural network models and training data size grow, training efficiency is becoming an important focus for deep learning. For example, GPT-3 demonstrates remarkable capability in few-shot learning, but…

Posted by Krishna Srinivasan, Software Engineer and Karthik Raman, Research Scientist, Google Research Multimodal visio-linguistic models rely on rich datasets in order to model the relationship between images and text. Traditionally, these datasets have been created by either manually captioning…

Posted by Jing Yu Koh, Research Engineer and Peter Anderson, Senior Research Scientist, Google Research When a person navigates around an unfamiliar building, they take advantage of many visual, spatial and semantic cues to help them efficiently reach their goal.…

Posted by Ye Jia and Michelle Tadmor Ramanovich, Software Engineers, Google Research Speech-to-speech translation (S2ST) is key to breaking down language barriers between people all over the world. Automatic S2ST systems are typically composed of a cascade of speech recognition,…

Posted by Rishabh Agarwal, Research Associate, Google Research, Brain Team Reinforcement learning (RL) is a sequential decision-making paradigm for training intelligent agents to tackle complex tasks, such as robotic locomotion, playing video games, flying stratospheric balloons and designing hardware chips.…

Posted by Ali Kemal Sinop, Senior Research Scientist, Google Research and Mahmuda Ahmed, Senior Software Engineer, Google Maps Design techniques based on classical algorithms have proved useful for recent innovation on several large-scale problems, such as travel itineraries and routing…

Posted by Jae Hun Ro, Software Engineer and Ananda Theertha Suresh, Research Scientist, Google Research Federated learning is a machine learning setting where many clients (i.e., mobile devices or whole organizations, depending on the task at hand) collaboratively train a…

Posted by Maarten Bosma, Research Engineer and Jason Wei, AI Resident, Google Research For a machine learning model to generate meaningful text, it must have a large amount of knowledge about the world as well as the ability to abstract.…

Posted by Lusann Yang, Software Engineer, Google Research, Applied Science Team A crystalline material has atoms systematically arranged in repeating units, with this structure and the elements it contains determining the material’s properties. For example, silicon’s crystal structure allows it…