2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network. Metasurfaces, as two-dimensional ...

More recently, transformers have found their way into computer vision, where they are slowly replacing convolutional neural networks ... the encoder and decoder module. For example, the GPT ...

The use of GPT-1 model in analyzing fMRI data and ... The ability of the neural network to decode the brain’s semantic representation of language could have far-reaching implications for natural ...

The key to addressing these challenges lies in separating the encoder and decoder components of ... quantization and efficient neural network design. As specialized AI hardware continues to ...

Note that the entire GPT family is based on Google’s 2017 Transformer neural network architecture, which is legitimate because Google open-sourced Transformer. GPT (Generative Pretrained ...

The Vision Pro headset will use a ‘neural network’ to scan your face and create a hyperrealistic avatar. The Vision Pro headset will use a ‘neural network’ to scan your face and create a ...