Google DeepMind published a paper describing their AlphaEvolve coding agent. AlphaEvolve uses LLMs to discover and optimize ...

Nvidia’s Deep Learning Super Sampling ... There are times when Frame Generation is problematic, however. It does not improve your game’s responsiveness; it just makes your game look smoother.

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 ...

(In partnership with Paperspace) In recent years, the transformer model has become one of the main highlights of advances in deep learning ... of the decoder module is to translate the encoder ...

The convolutional neural network (CNN) model required a large dataset with detailed pixel-level information for the semantic segmentation of red blood cells in the deep learning domain. In current ...