––WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced that it developed an innovative technology, attentional autoencoder network for ...

The team proposed a novel representation learning method based on serial autoencoders for personalized recommendation.

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

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 ...

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Authors: Farzad Midjani, Hossein Abbasi, Mahdi Malekpour, Shahin Yaghoobi, Sina Abdous, ...

We propose an unsupervised method for detecting adversarial attacks in inner layers of autoencoder (AE) networks by maximizing a non-parametric measure of anomalous node activations.

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety ...

Understanding what is happening inside the “black box” of large protein models could help researchers choose better models ...

The new model combines semantic control and visual precision for next-generation editing. Deploying Backstage, Kubernetes and ...

Qwen-Image-Edit caters to professionals who need control while remaining approachable for casual experimentation.