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, ...

MIT researchers used AI to develop novel antibiotics NG1 and DN1, effective against drug-resistant gonorrhoea and MRSA, ...

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