Copyright in generative deep learning

Machine-generated artworks are now part of the contemporary art scene: they are attracting significant investments and they are presented in exhibitions together with those created by human artists.These artworks are mainly based on generative deep learning (GDL) techniques, which have seen a formidable development and remarkable refinement in the

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Safety Evaluation and Whole Genome Sequencing of Aspergillus japonicas PJ01 Reveal Its Potential to Degrade Citrus Segments in Juice Processing

Aspergillus japonicas PJ01 (A.japonicas PJ01) is a strain isolated from the rotten branches.In previ-ous studies, it was shown that it can produce complex enzymes to degrade polysaccharide com-ponents.In this study, we evaluated the safety of its crude enzyme solution.Acute oral toxicity, subchronic 12n/1200 wella toxicity, micronucleus and sperm m

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Severity of error in hierarchical datasets

Abstract Classification tasks today, especially for the medical domain, use datasets which are often hierarchical.These tasks are approached using methods that consider the class taxonomy for predicting a label.The classifiers are gradually becoming increasingly accurate over the complex datasets.While increasing accuracy is a good way to judge a m

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