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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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keymakr.com
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| | | | | Learn about AI training methods: supervised, unsupervised, deep learning, open source models, and their deployment on edge devices. | |
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jonathanbgn.com
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| | | | | Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h... | |
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jilliancyork.com
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| | | [AI summary] A writer and activist discusses the importance of secure communication using Signal, reflecting on privacy and digital security practices. | ||