ReAct: Synergizing Reasoning and Acting in Language Models

Favorite Posted by Shunyu Yao, Student Researcher, and Yuan Cao, Research Scientist, Google Research, Brain Team Recent advances have expanded the applicability of language models (LM) to downstream tasks. On one hand, existing language models that are properly prompted, via chain-of-thought, demonstrate emergent capabilities that carry out self-conditioned reasoning traces

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Shared by Google AI Technology November 8, 2022

Infinite Nature: Generating 3D Flythroughs from Still Photos

Favorite Posted by Noah Snavely and Zhengqi Li, Research Scientists, Google Research We live in a world of great natural beauty — of majestic mountains, dramatic seascapes, and serene forests. Imagine seeing this beauty as a bird does, flying past richly detailed, three-dimensional landscapes. Can computers learn to synthesize this

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Shared by Google AI Technology November 7, 2022

Beyond Tabula Rasa: Reincarnating Reinforcement Learning

Favorite Posted by Rishabh Agarwal, Senior Research Scientist, and Max Schwarzer, Student Researcher, Google Research, Brain Team Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games, flying

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Shared by Google AI Technology November 3, 2022

3 ways AI is scaling helpful technologies worldwide

Favorite I was first introduced to neural networks as an undergraduate in 1990. Back then, many people in the AI community were excited about the potential of neural networks, which were impressive, but couldn’t yet accomplish important, real-world tasks. I was excited, too! I did my senior thesis on using

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Shared by Google AI Technology November 2, 2022

Robots That Write Their Own Code

Favorite Posted by Jacky Liang, Research Intern, and Andy Zeng, Research Scientist, Robotics at Google A common approach used to control robots is to program them with code to detect objects, sequencing commands to move actuators, and feedback loops to specify how the robot should perform a task. While these

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Shared by Google AI Technology November 2, 2022

A new genome sequencing tool powered with our technology

Favorite Genome sequencing provides a more complete description of cells and organisms, allowing scientists to uncover serious genetic conditions such as the elevated risk for breast cancer or pulmonary arterial hypertension. While researching genomics has the potential to save lives and preserve people’s quality of life, it’s incredibly challenging work.

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Shared by Google AI Technology October 26, 2022

Open Images V7 — Now Featuring Point Labels

Favorite Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. Researchers around the world use Open Images to train and evaluate computer vision models. Since the initial release of Open Images in 2016,

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Shared by Google AI Technology October 25, 2022