Nvidia’s Deep Learning Super Sampling ... you’re effectively giving the AI algorithm less information to work with. At a high resolution like 4K, this isn’t a problem, as the algorithm ...

It has been shown to work ... on deep learning networks adopts a holistic approach where both the transmitter and receiver are represented by deep neural networks (DNNs), as in Figure 1(b) [18] ; The ...

Recent developments in deep learning, coupled with an increasing number of sequenced ... in six layers of both the encoder and decoder blocks. To generate the input embeddings to the model, the ...

They described a deep learning-enabled diffractive display architecture that uses wavefront modulators with poor resolution and a pair of jointly trained electrical encoders and diffractive ... this ...

So, does that mean we can just use the deep learning image generation methods to come up ... To tackle this issue, they propose and use C-ViViT. C-ViViT is an encoder-decoder structure with unique ...

In this communication, we describe Pocket2Drug, a novel deep learning model employing an encoder-decoder architecture to predict binding ... in the discovery of novel biopharmaceuticals. This work has ...