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Is AI Coming To Take Our Tasks?

Plenty of authors have written about how they believe a possible robot apocalypse would happen and how our chances would be. Usually, it has to do with a new ....

Gans Generative Adversarial Networks , Generative Adversarial Networks ,

How Artist Alexandra Daisy Ginsberg Is Using A.I.-Generated Birdsong to Draw Attention to Humanity's Impact on Dwindling Species

In Machine Auguries: Toledo, Alexandra Daisy Ginsberg uses A.I. in her continued exploration of how humans have impacted the natural world. ....

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Unveiling the Epicenter of Innovation: The Best Global AI Conferences according to TheStage.ai

In an era dominated by technological advancements, artificial intelligence (AI) has emerged as a gro. ....

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"Low-dose CT Image Synthesis for Domain Adaptation Imaging Using a Gene" by Ming Li, Jiping Wang et al.

Deep learning (DL) based image processing methods have been successfully applied to low-dose x-ray images based on the assumption that the feature distribution of the training data is consistent with that of the test data. However, low-dose computed tomography (LDCT) images from different commercial scanners may contain different amounts and types of image noise, violating this assumption. Moreover, in the application of DL based image processing methods to LDCT, the feature distributions of LDCT images from simulation and clinical CT examination can be quite different. Therefore, the network models trained with simulated image data or LDCT images from one specific scanner may not work well for another CT scanner and image processing task. To solve such domain adaptation problem, in this study, a novel generative adversarial network (GAN) with noise encoding transfer learning (NETL), or GAN-NETL, is proposed to generate a paired dataset with a different noise style. Specifically, we pr ....

Biomedical Imaging , Computed Tomography , Deep Learning , Domain Adaptation , Generative Adversarial Networks , Mage Coding , Image Synthesis , Task Analysis , Transfer Learning ,

The 7 Must-Know Deep Learning Algorithms

The 7 Must-Know Deep Learning Algorithms
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