This article discusses the use of Convolutional Neural Networks (CNNs) in the field of Artificial Intelligence, specifically in analyzing complex datasets. The authors introduce a new pipeline called DeepMapper, which allows for the analysis of high dimensional datasets without the need for intermediate filtering and dimension reduction. They demonstrate the effectiveness of DeepMapper in identifying small variations in large datasets and its superiority in speed and accuracy compared to previous methods.
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