The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

AI image generation—which relies on neural networks to create new images from a variety of inputs, including text prompts—is ...

Our research dives into the performance comparison of two popular machine learning approaches: the support vector machine (SVM) and the more recent deep learning-based stacked autoencoder (SAE). We ...

Large-scale multi-view clustering for image data has achieved impressive clustering performance and efficiency. However, most methods lack interpretability in clustering and do not fully consider the ...