An autoencoder learns to predict its input ... to complement autoencoders and VAEs with advanced neural systems designed using what is called Transformer Architecture (TA). Again, there are no solid ...

To address this issue, researchers at ETH Zurich have unveiled a revised version of the transformer, the deep learning architecture underlying language models. The new design reduces the size of ...

[Click on image for larger view.] Figure 2: Variational Autoencoder Architecture for the UCI Digits Dataset The key point is that a VAE learns the distribution of its source data rather than ...

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent ...

As the first SSLM for Falcon, it departs from prior Falcon models which all use a transformer-based architecture. This new Falcon Mamba 7B model is yet another example of the pioneering research ...