Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

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

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 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 ...

Understanding what is happening inside the “black box” of large protein models could help researchers choose better models for a particular task, helping to streamline the process of identifying new ...

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