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research.google | ||
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blog.fastforwardlabs.com
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| | | | | Graph Neural Networks (GNNs) are neural networks that take graphs as inputs. These models operate on the relational information in data to produce insights not possible in other neural network architectures and algorithms. While there is much excitement in the deep learning community around GNNs, in industry circles, this is sometimes less so. So, I'll review a few exciting applications empowered by GNNs. Overview of Graphs and GNNs A graph (sometimes called a network) is a data structure that highlights the relationships between components in the data. | |
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www.assemblyai.com
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| | | | | Let's discover how this cutting-edge technology is powering production applications and may be shaping the future of AI. | |
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tech.preferred.jp
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| | | | | This post is a contribution by Zongyao Li, who was an intern at PFN. I am Zongyao Li, a Ph. D. student at Graduate School of Information Science of Technology, Hokkaido University. I participated in the PFN summer internship program in 2022. During the internship, I did research on test-time adaptation for brain tumor segmentation with cross-institutional MRI. In this article, I would like to share our ideas and results in the research. | |
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cultocracy.wordpress.com
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| | | Silent Weapons for Quiet Wars Cultocracy Introduction : The 'Word on the Street' is that the SARS-CoV-2 virus was circulating globally from around November 2019 . Probably far earlier . Although this fact is disputed in some quarters . It is obvious that the UK and the global public were simply not informed about the... | ||
