Favorite Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team Industrial applications of machine learning are commonly composed of various items that have differing data modalities or feature distributions. Heterogeneous graphs (HGs) offer a unified view of these multimodal data systems by defining

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Shared by Google AI Technology March 1, 2023

Favorite Posted by Natasha Noy, Research Scientist, and Omar Benjelloun, Software Engineer, Google Research Access to datasets is critical to many of today’s endeavors across verticals and industries, whether scientific research, business analysis, or public policy. In the scientific community and throughout various levels of the public sector, reproducibility and

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Shared by Google AI Technology February 28, 2023

Favorite Posted by Posted by Leslie Yeh, Director, University Relations (This is Part 9 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Sharing knowledge is essential to Google’s research philosophy — it accelerates technological progress and

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Shared by Google AI Technology February 28, 2023

Favorite Meet Google for Startups Black Founders Fund recipients from Africa, Brazil, Europe and the United States using Google AI technology to help people and society. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. Previously, we investigated various UI modeling tasks, including widget captioning, screen summarization, and command grounding, that address diverse interaction scenarios

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Shared by Google AI Technology February 24, 2023

Favorite Posted by Aviral Kumar, Student Researcher, and Sergey Levine, Research Scientist, Google Research Reinforcement learning (RL) algorithms can learn skills to solve decision-making tasks like playing games, enabling robots to pick up objects, or even optimizing microchip designs. However, running RL algorithms in the real world requires expensive active

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Shared by Google AI Technology February 23, 2023

Favorite Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Google’s focus on AI stems from the conviction

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Shared by Google AI Technology February 23, 2023

Favorite Posted by Hartmut Neven, VP of Engineering, and Julian Kelly, Director of Quantum Hardware, on behalf of the Google Quantum AI Team Many years from today, scientists will be able to use fault-tolerant quantum computers for large-scale computations with applications across science and industry. These quantum computers will be

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Shared by Google AI Technology February 22, 2023

Favorite For the first time ever, our Quantum AI researchers have experimentally demonstrated it’s possible to reduce errors by increasing the number of qubits. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by John Platt, Distinguished Scientist, Google Research (This is Part 7 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) It’s an incredibly exciting time to be a scientist. With the amazing advances in machine

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Shared by Google AI Technology February 21, 2023