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blog.research.google | ||
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research.google
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| | | | | Posted by Nal Kalchbrenner and Lasse Espeholt, Google Research Deep learning has successfully been applied to a wide range of important challenges,... | |
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andlukyane.com
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| | | | | My review of the paper Deep Learning for Day Forecasts from Sparse Observations | |
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niklasriewald.com
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| | | | | Is it possible to replace numerical weather prediction with deep learning? Certainly not yet. But first work is being done to investigate this question. In this post I want to discuss a paper called "MetNet: A Neural Weather Model for Precipitation Forecasting" that Google Research published back in March 2020 and in which they try... | |
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aclanthology.org
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| | | [AI summary] The text provides an overview of various natural language processing (NLP) and machine learning research topics. It covers a wide range of areas including: grammatical error correction, text similarity measures, compositional distributional semantics, neural machine translation, dependency parsing, and political orientation prediction. The text also discusses the development of datasets for evaluating models, the importance of readability in reading comprehension tasks, and the use of advanced techniques such as nested attention layers and error-correcting codes to improve model performance. The key themes include the advancement of NLP models, the creation of evaluation datasets, and the exploration of new methods for text analysis and understa... | ||
