Favorite Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered around noisy audio inputs,

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Shared by Google AI Technology June 2, 2023

Favorite Posted by Ziniu Hu, Student Researcher, and Alireza Fathi, Research Scientist, Google Research, Perception Team Large-scale models, such as T5, GPT-3, PaLM, Flamingo and PaLI, have demonstrated the ability to store substantial amounts of knowledge when scaled to tens of billions of parameters and trained on large text and

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Shared by Google AI Technology June 1, 2023

Favorite Posted by Petros Maniatis and Daniel Tarlow, Research Scientists, Google Software isn’t created in one dramatic step. It improves bit by bit, one little step at a time — editing, running unit tests, fixing build errors, addressing code reviews, editing some more, appeasing linters, and fixing more errors —

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Shared by Google AI Technology May 31, 2023

Favorite Posted by Julian Eisenschlos, Research Software Engineer, Google Research Visual language is the form of communication that relies on pictorial symbols outside of text to convey information. It is ubiquitous in our digital life in the form of iconography, infographics, tables, plots, and charts, extending to the real world

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Shared by Google AI Technology May 26, 2023

Favorite Posted by Ken Caluwaerts and Atil Iscen, Research Scientists, Google Creating robots that exhibit robust and dynamic locomotion capabilities, similar to animals or humans, has been a long-standing goal in the robotics community. In addition to completing tasks quickly and efficiently, agility allows legged robots to move through complex

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Shared by Google AI Technology May 26, 2023

Favorite Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. At its core, clustering consists of the following problem: given a set

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Shared by Google AI Technology May 25, 2023

Favorite Posted by James Manyika, SVP Google Research and Technology & Society, and Jeff Dean, Chief Scientist, Google DeepMind and Google Research Wednesday, May 10th was an exciting day for the Google Research community as we watched the results of months and years of our foundational and applied work get

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Shared by Google AI Technology May 25, 2023

Favorite Today, we’re starting to open up access to SGE (Search Generative Experience), one of our first experiments in Search Labs. View Original Source (blog.google/technology/ai/) Here.

Favorite Posted by Alexander Frömmgen, Staff Software Engineer, and Lera Kharatyan, Senior Software Engineer, Core Systems & Experiences Code-change reviews are a critical part of the software development process at scale, taking a significant amount of the code authors’ and the code reviewers’ time. As part of this process, the

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Shared by Google AI Technology May 23, 2023

Favorite AI-powered Flood Hub is expanding to nearly 80 countries worldwide. View Original Source (blog.google/technology/ai/) Here.