Researchers at UC Berkeley and Adobe Research propose in a paper Swapping Autoencoder, an AI tool that could be used to create realistic deepfakes.

Compared to using PCA for dimensionality reduction, using a neural autoencoder has the big advantage that it works with source data that contains both numeric and categorical data, while PCA works ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier. Current Science is a ...

Google's new Gemini Embedding model now leads the MTEB benchmark. But it is facing fierce competition from closed and open source rivals.

Google has added a new, experimental 'embedding' model for text, Gemini Embedding, to its Gemini developer API.