Table Tennis: A Research Platform for Agile Robotics

Favorite Posted by Avi Singh, Research Scientist, and Laura Graesser, Research Engineer, Robotics at Google Robot learning has been applied to a wide range of challenging real world tasks, including dexterous manipulation, legged locomotion, and grasping. It is less common to see robot learning applied to dynamic, high-acceleration tasks requiring

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Shared by Google AI Technology October 18, 2022

UL2 20B: An Open Source Unified Language Learner

Favorite Posted by Yi Tay and Mostafa Dehghani, Research Scientists, Google Research, Brain Team Building models that understand and generate natural language well is one the grand goals of machine learning (ML) research and has a direct impact on building smart systems for everyday applications. Improving the quality of language

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Shared by Google AI Technology October 14, 2022

How AI is helping African communities and businesses

Favorite Editor’s note: Last week Google hosted the annual Google For Africa eventas part of our commitment to make the internet more useful in Africa, and to support the communities and businesses that will power Africa’s economic growth. This commitment includes our investment in research. Since announcing the Google AI

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Shared by Google AI Technology October 12, 2022

AudioLM: a Language Modeling Approach to Audio Generation

Favorite Posted by Zalán Borsos, Research Software Engineer, and Neil Zeghidour, Research Scientist, Google Research Generating realistic audio requires modeling information represented at different scales. For example, just as music builds complex musical phrases from individual notes, speech combines temporally local structures, such as phonemes or syllables, into words and

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Shared by Google AI Technology October 6, 2022

Large Motion Frame Interpolation

Favorite Posted by Fitsum Reda and Janne Kontkanen, Google Research Frame interpolation is the process of synthesizing in-between images from a given set of images. The technique is often used for temporal up-sampling to increase the refresh rate of videos or to create slow motion effects. Nowadays, with digital cameras

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Shared by Google AI Technology October 4, 2022

Quantization for Fast and Environmentally Sustainable Reinforcement Learning

Favorite Posted by Srivatsan Krishnan, Student Researcher, and Aleksandra Faust, Senior Staff Research Scientist, Google Research, Brain Team Deep reinforcement learning (RL) continues to make great strides in solving real-world sequential decision-making problems such as balloon navigation, nuclear physics, robotics, and games. Despite its promise, one of its limiting factors

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Shared by Google AI Technology September 27, 2022