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 ...

In a breakthrough that could reshape the fight against antibiotic-resistant bacteria, MIT researchers have harnessed generative artificial intelligence (AI) to design novel compounds capable of ...

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