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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
Read More 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
Read More 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
Read More 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
Read More 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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Favorite AI-powered Flood Hub is expanding to nearly 80 countries worldwide. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Natalia Ponomareva and Alex Kurakin, Staff Software Engineers, Google Research Large machine learning (ML) models are ubiquitous in modern applications: from spam filters to recommender systems and virtual assistants. These models achieve remarkable performance partially due to the abundance of available training data. However, these data can
Read More Shared by Google AI Technology May 19, 2023
Favorite For society to reap the benefits of AI, opportunity, responsibility, and national security strategies must be baked into that shared AI agenda. View Original Source (blog.google/technology/ai/) Here.