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

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

AI chatbots often overestimate their own abilities and fail to adjust even after performing poorly, a new study finds.

CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...

A number of hyperparameter optimization techniques for different machine learning models are reviewed in this paper, including grid search, random search, Bayesian optimization, and genetic algorithm.

Multiple instance learning(MIL) is widely used for whole slide image(WSI) classification. However, these methods suffer from severe overfitting. In this paper, we introduce two main causes of such ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...